[UAI] 19th Conference on Principles of Knowledge Representation and Reasoning (KR2022)

[Heyninck, Jesse]

FINAL CALL FOR PAPERS

19th Conference on Principles of Knowledge Representation and Reasoning (KR2022)

July 31 - August 5, 2022, Haifa, Israel

https://kr2022.cs.tu-dortmund.de/

Knowledge Representation and Reasoning (KR) is a well-established and lively 
field of research. In KR a fundamental assumption is that an agent's knowledge 
is explicitly represented in a declarative form, suitable for processing by 
dedicated reasoning engines. This assumption, that much of what an agent deals 
with is knowledge-based, is common in many modern intelligent systems. 
Consequently, KR has contributed to the theory and practice of various areas in 
AI, including automated planning and natural language understanding, and to 
fields beyond AI, including databases, verification, software engineering, and 
robotics. In recent years, KR has contributed also to new and emerging fields, 
including the semantic web, computational biology, cyber security, and the 
development of software agents.

The KR conference series is the leading forum for timely in-depth presentation 
of progress in the theory and principles underlying the representation and 
computational management of knowledge.


** IMPORTANT DATES **

* Submission of title and abstract: February 2, 2022
* Paper submission deadline: February 9, 2022
* Author response period: March 29-31, 2022
* Author notification: April 15, 2022
* Camera-ready papers: May 7, 2022
* Conference: July 31 - August 5, 2022


** SCOPE **

We solicit papers presenting novel results on the principles of KR that clearly 
contribute to the formal foundations of relevant problems or show the 
applicability of results to implemented or implementable systems. We also 
welcome papers from other areas that show clear use of, or contributions to, 
the principles or practice of KR. We also encourage "reports from the field" of 
applications, experiments, developments, and tests.

Topics of interest include, but are not limited to:

- Applications of KR
- Argumentation
- Belief revision, belief update and belief merging
- Commonsense reasoning
- Computational aspects of knowledge representation
- Concept formation, similarity-based reasoning
- Contextual reasoning
- Decision making
- Description logics
- Explanation finding, diagnosis, causal reasoning, abduction
- Geometric, spatial, and temporal reasoning
- Inconsistency- and exception-tolerant reasoning
- KR and autonomous agents and multi-agent systems
- KR and cognitive modelling
- KR and cognitive reasoning
- KR and cognitive robotics
- KR and cognitive systems
- KR and cyber security
- KR and education
- KR and game theory
- KR and machine learning, inductive logic programming, knowledge acquisition
- KR and natural language processing and understanding
- KR and the Web, Semantic Web
- Knowledge graphs and open linked data
- Knowledge representation languages
- Logic programming, answer set programming
- Modelling and reasoning about preferences
- Multi- and order-sorted representations and reasoning
- Nonmonotonic logics, default logics, conditional logics
- Ontology formalisms and models
- Ontology-based data access, integration, and exchange
- Philosophical foundations of KR
- Qualitative reasoning, reasoning about physical systems
- Reasoning about actions and change, action languages
- Reasoning about constraints, constraint programming
- Reasoning about knowledge, beliefs, and other mental attitudes
- Uncertainty, vagueness, many-valued and fuzzy logics

The KR2022 program will also feature workshops and tutorials, solicited by 
means of an open call, as well as a doctoral consortium.


** TRACKS AND SPECIAL SESSIONS **

In addition to the main conference track, KR2022 will host the following tracks 
and sessions:

- Applications and Systems Track
- Recently Published Research Track
- Special Session on KR and Machine Learning
- Special Session on KR and Robotics

The Recently Published Research track, workshops, tutorials, and the doctoral 
consortium have different submission and notification dates, which are listed 
on the conference website.

** CO-LOCATED EVENTS **
KR 2022 will be held as part of the Federated Logic Conference (FLoC 2022) in 
Haifa, Israel (https://floc2022.org/), and will be co-located with the 20th 
International Workshop on Non-Monotonic Reasoning (NMR 2022) and the 35th 
International Workshop on Description Logics (DL 2022).

** AUTHOR GUIDELINES AND SUBMISSION INFORMATION **

All submissions must be written in English and formatted using the style files
provided on the KR'22 website. Papers must be submitted in PDF format, through
the EasyChair conference system:

https://easychair.org/conferences/?conf=kr2022

For the main conference track and additional tracks/sessions (except for
the Recently Published Research track), we invite

- Full papers of up to 9 pages, including abstract, figures, and appendices (if 
any), but excluding references and acknowledgements.

- Short papers of up to 4 pages, excludin

[UAI] [CfP] Call for Papers: Information Processing & Management (IP&M) (IF: 6.222) Special Issue on Science Behind Neural Language Models

[Ptaszynski Michal]

Dear Colleagues,

** Apologies for cross-posting **

This is Michal Ptaszynski from Kitami Institute of Technology, Japan.
 
We are accepting papers for the Information Processing & Management (IP&M) (IF: 
6.222) journal Special Issue on Science Behind Neural Language Models. This 
special issue is also a Thematic Track at Information Processing & Management 
Conference 2022 (IP&MC2022), meaning, that at least one author of the accepted 
manuscript will need to attend the IP&MC2022 conference.
For more information about IP&MC2022, please visit: 
https://www.elsevier.com/events/conferences/information-processing-and-management-conference

The deadline for manuscript submission is June 15, 2022, but your paper will be 
reviewed immediately after submission and will be published as soon as it is 
accepted.

We hope you will consider submitting your paper.
https://www.elsevier.com/events/conferences/information-processing-and-management-conference/author-submission/science-behind-neural-language-models

Info regarding submission:
https://www.elsevier.com/events/conferences/information-processing-and-management-conference/author-submission

Best regards,

Michal PTASZYNSKI, Ph.D., Associate Professor
Department of Computer Science
Kitami Institute of Technology,
165 Koen-cho, Kitami, 090-8507, Japan
TEL/FAX: +81-157-26-9327
mic...@mail.kitami-it.ac.jp


Information Processing & Management (IP&M) (IF: 6.222)
Special Issue on "Science Behind Neural Language Models"
&
Information Processing & Management Conference 2022 (IP&MC2022)
Thematic Track on "Science Behind Neural Language Models"

Motivation

  The last several years showed explosive popularity of neural language models, 
especially large pre-trained language models based on the transformer 
architecture. The field of Natural Language Processing (NLP) and Computational 
Linguistics (CL) experienced a shift from simple language models such as 
Bag-of-Words, and word representations like word2vec, or GloVe, to more 
contextually-aware language models, such as ELMo, or more recently, BERT, or 
GPT including their improvements and derivatives. The general high performance 
obtained by BERT-based models in various tasks even convinced Google to apply 
it as a default backbone in its search engine query expansion module, thus 
making BERT-based models a mainstream, and a strong baseline in NLP/CL 
research. The popularity of large pretrained language models also allowed a 
major growth of companies providing freely available repositories of such 
models, and, more recently, the founding of Stanford University’s Center for 
Research on Foundation Models (CRFM). 
   However, despite the overwhelming popularity, and undeniable performance of 
large pretrained language models, or “foundation models”, the specific 
inner-workings of those models have been notoriously difficult to analyze and 
the causes of - usually unexpected and unreasonable - errors they make, 
difficult to untangle and mitigate. As the neural language models keep gaining 
in popularity while expanding into the area of multimodality by incorporating 
visual and speech information, it has become the more important to thoroughly 
analyze, fully explain and understand the internal mechanisms of neural 
language models. In other words, the science behind neural language models 
needs to be developed.   

Aims and scope

   With the above background in mind, we propose the following Information 
Processing & Management Conference 2022 (IP&MC2022) Thematic Track and 
Information Processing & Management Journal Special Issue on Science Behind 
Neural Language Models.
   The TT/SI will focus on topics deepening the knowledge on how the neural 
language models work. Therefore, instead of taking up basic topics from the 
fields of CL and NLP, such as improvement of part-of-speech tagging, or 
standard sentiment analysis, regardless of whether they apply neural language 
models in practice, we will focus on promoting research that specifically aims 
at analyzing and understanding the “bells and whistles” of neural language 
models, for which the generally perceived science has not been established yet.

Target audience

   The TT/SI will aim at the audience of scientists, researchers, scholars, and 
students performing research on the analysis of pretrained language models, 
with a specific focus on explainable approaches to language models, analysis of 
errors such models make, methods for debiasing, detoxification and other 
methods of improvement of the pretrained language models.
The TT/SI will not accept research on basic NLP/CL topics for which the field 
has been well established, such as improvement of part-of-speech tagging, 
sentiment analysis, etc., even if they apply neural language models unless they 
directly contribute to furthering the understanding and explanation of the 
inner workings of large scale pretrained language models.

[UAI] 2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (IEEE EAIS 2022): Last Call for Papers

[George A. Papadopoulos]

*** Last Call for Papers ***

2022 IEEE International Conference on Evolving and Adaptive
Intelligent Systems (IEEE EAIS 2022)

May 25-27, 2022, Golden Bay Hotel 5*, Larnaca, Cyprus

http://cyprusconferences.org/eais2022/

(Proceedings to be published by the IEEE Xplore Digital Library;
Special Journal Issue with Evolving Systems, Springer)

(*** Submission Deadline: February 7, 2022 (firm) ***)


IEEE EAIS 2022 will provide a working and friendly atmosphere and will be a
leading international forum focusing on the discussion of recent advances,
the exchange of recent innovations and the outline of open important future
challenges in the area of Evolving and Adaptive Intelligent Systems. Over the
past decade, this area has emerged to play an important role on a broad
international level in today's real-world applications, especially those ones
with high complexity and dynamic changes. Its embedded modelling and
learning methodologies are able to cope with real-time demands, changing
operation conditions, varying environmental influences, human behaviours, 
knowledge expansion scenarios and drifts in online data streams.



Conference Topics

Basic Methodologies
Evolving Soft Computing Techniques. Evolving Fuzzy Systems. Evolving
Rule-Based Classifiers. Evolving Neuro-Fuzzy Systems. Adaptive
Evolving Neural Networks. Online Genetic and Evolutionary Algorithms. Data
Stream Mining. Incremental and Evolving Clustering. Adaptive
Pattern Recognition. Incremental and Evolving ML Classifiers. Adaptive
Statistical Techniques. Evolving Decision Systems. Big Data.

Problems and Methodologies in Data Streams
Stability, Robustness, Convergence in Evolving Systems. Online Feature
Selection and Dimension Reduction. Online Active and Semi-supervised 
Learning. Online Complexity Reduction. Computational Aspects. 
Interpretability Issues. Incremental Adaptive Ensemble Methods. Online 
Bagging and Boosting. Self-monitoring Evolving Systems. Human-Machine

Interaction Issues. Hybrid Modelling, Transfer Learning. Reservoir Computing.

Applications of EAIS
Time Series Prediction. Data Stream Mining and Adaptive Knowledge 
Discovery. Robotics. Intelligent Transport and Advanced Manufacturing.
Advanced Communications and Multimedia Applications. Bioinformatics and 
Medicine. Online Quality Control and Fault Diagnosis. Condition
Monitoring Systems. Adaptive Evolving Controller Design. User Activities 
Recognition. Huge Database and Web Mining. Visual Inspection and
Image Classification. Image Processing. Cloud Computing. Multiple Sensor 
Networks. Query Systems and Social Networks. Alternative Statistical and 
Machine Learning Approaches.



Submissions

Submitted papers should not exceed 8 pages plus at most 2 pages overlength.
Submissions of full papers are accepted online through Easy Chair
(https://easychair.org/conferences/?conf=eais2022).
The EAIS 2022 proceedings will be published on IEEE Xplore Digital Library. 
Authors of selected papers will be invited to submit extended versions

for possible inclusion in a special issue of Evolving Systems, published by
Springer (https://www.springer.com/journal/12530 ).


Important Dates

• Paper submission: February 7, 2022 (firm)
• Notification of acceptance/rejection: March 7, 2022
• Camera ready submission: March 20, 2022
• Authors registration: March 20, 2022
• Conference Dates: May 25-27, 2022


Social Media

FB: https://www.facebook.com/IAIS
Twitter: https://twitter.com/IEEE_EAIS
Linkedin: 
https://www.linkedin.com/events/2022ieeeconferenceonevolvingand6815560078674972672/


Organization

Honorary Chairs
• Dimitar Filev, Ford Motor Co., USA
• Nikola Kasabov, Auckland University of Technology, New Zealand

General Chairs
• George A. Papadopoulos, University of Cyprus, Nicosia, Cyprus
• Plamen Angelov, Lancaster University, UK

Program Committee Chairs
• Giovanna Castellano, University of Bari, Italy
• José A. Iglesias, Carlos III University of Madrid, Spain
___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] 3rd CfP: 1st International Workshop in Digital Twin Engineering at CAiSE 2022

[Zech, Philipp]

[ Apologies for possible cross-postings ]

=

Call for Papers

1st International Workshop on Digital Twin Engineering (DTE)
in conjunction with CAiSE 2022
June 7, 2022, Leuven, Belgium

Workshop website: https://dt-engineering.uibk.ac.at

=


-
Scope
-

As of the growing interest in gestating digital twins for planning and 
operating long-living, complex cyber-physical assets, information systems 
research is now faced with new challenges to develop applicable and profitable 
methodologies and frameworks for engineering and maintaining these virtual 
replicas of cyber-physical assets for various industrial domains. A potential 
remedy lies in tight collaboration with industrial and economic stakeholders 
for devising tangible application scenarios to drive the actual gestation of 
digital twins by providing a basis for practical requirements elicitation. The 
goal of this workshop thence is to provide a seminal platform for discussing 
current progress and state-of-the-art in digital twin engineering and emerging 
application areas as well as challenges ahead as of the ongoing digitalization 
of our society and industry.


-
Topics of interest
-

Topics include but are not limited to:
* Models, methods, and techniques for developing digital twin
* Requirements engineering for digital twins
* Conceptual modelling for socio-techno-economical systems
* Knowledge management for capturing domain knowledge
* Methods and models for capturing the inherent uncertainty of business and 
social systems
* Simulation of business and social systems
* Multi-paradigm modelling and co-simulation techniques
* Validation and verification of digital twins
* Technology and its application
* Application of enterprise modelling techniques for digital twin initiatives 
from different domains
* Relevance of AI and optimization techniques
* Aspects and domains of interest
* Industry 4.0
* Supply chain management
* Social systems for policy making, urban planning, and healthcare
* Sustainability
* Smart cities



-
Contributions
-

Participants are required to submit a contribution in one of the categories:
* Full paper (12 pages in length)
* Short Paper (6 pages in length)

All submissions are peer-reviewed. Outstanding papers will be presented orally 
during the workshop, other accepted papers will be discussed during an open 
poster (A0 portrait format) session.


-
Submission
-

Submissions must be in PDF following the LNBIP style available at

https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

and uploaded via

https://easychair.org/conferences/?conf=caise22.


-
Important Dates
-

Submission of papers: March 8, 2022
Notification of acceptance: April 8, 2022
Camera-ready version: April 12, 2022
Registration deadline workshop authors: April 22, 2022
Workshop: June 7, 2022

Dates are Anywhere on Earth (AoE).


-
Workshop Co-chairs
-
Vinay Kulkarni, TCS Research, Pune, India

Ruth Breu, Department of Computer Science, University of Innsbruck, Innsbruck, 
Austria

Philipp Zech, Department of Computer Science, University of Innsbruck, 
Innsbruck, Austria

Souvik Barat, TCS Research, Pune, India

-

Workshop website: https://dt-engineering.uibk.ac.at

-
-


___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] [jobs] MAESTRO Postdocs in surgical robotics (Oxford and Imperial) - Jan 31

[Fabio Cuzzolin]

The Visual Artificial Intelligence Laboratory at Oxford Brookes University,
led by Professor Fabio Cuzzolin, is seeking 1/2 Postdoctoral Researchers in
#AI for the Operating Room of the Future, to be appointed as soon as
possible, full-time, until December 31 2022.

***Candidates with background in action and activity detection are strongly
encouraged.***

Deadline: Jan 31 2022. Salary: £32,344 rising annually to £35,326.

The Postdoc(s) will lead the Lab’s efforts in the context of a new #EPSRC
Transformative #healthcaretechnology project entitled “MAESTRO Jr -
Multi-sensing AI Environment for Surgical Task & Role Optimisation”, and
led by Dr George Mylonas of Imperial College London.

https://lnkd.in/eSWAHhqZ

The project’s overarching objective is to take radical steps towards the
development of an AI-centred #operatingroom of the 2050s. It envisages a
#smart operating room environment (which we term MAESTRO, in analogy with
the way an orchestra conductor, a 'maestro', oversees, overhears and
directs a group of people on a common task) powered by trustable,
human-understanding #artificialintelligence, able to continually adapt and
learn the best way to optimise safety, efficacy, teamwork, economy, and
#clinical outcomes.

In particular the #postdoc will lead the work on multi-sensing
#situationalawareness for automated #checklisting (in particular object,
action and activity detection from a network of RGB-D cameras and 3D object
detection), detection of #cognitive overload in #surgical staff, and
#continuallearning for #perception and #decisionmaking.

The Visual Artificial Intelligence Laboratory

https://lnkd.in/e_mABMr

is a fast-growing research unit currently running on a budget of £3 million
from nine live projects funded by #horizon2020 (2), #innovateuk (2),
#Leverhulme, @Huawei, the British Council and others. We are leaders in the
field of #deeplearning for #actiondetection and event detection, but our
research interests span artificial intelligence, #uncertainty theory,
#machinelearning, #computervision, #autonomousdriving, surgical and mobile
#robotics, #aihealthcare. The Lab is currently pioneering frontier topics
in AI such as #machine theory of mind, self-supervised learning, continual
learning and future event prediction.

You will join a vibrant and fast growing team foreseen to comprise 35+
people in 2022. You will support Prof Cuzzolin in the overall management of
the project. You will be working on a network of cutting edge 4-GPU and
8-GPU workstations, mentor #phd and #msc students and seek additional
external #funding to complement the Lab’s existing activities.

You are encouraged to contact Prof Cuzzolin at fabio.cuzzo...@brookes.ac.uk
for more information and an informal feedback on your application.

To apply, please follow the instructions here:

https://lnkd.in/g_esfDmp
___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] [jobs] DEADLINE POSTPONED: Post-doc Functional Memory Network in collaborative AI for context awareness and action planning in robotics @ Italian Institute of Technology (IIT)

[Francesco Rea]

Post-doc Functional Memory Network in collaborative AI for context awareness 
and action planning in robotics

At IIT we work enthusiastically to develop human-centered Science and 
Technology to tackle some of the most pressing societal challenges of our times 
and transfer these technologies to the production system and society. Our Genoa 
headquarter is strictly inter-connected with our 11 centers around Italy and 
two outer-stations based in the US for a truly interdisciplinary experience.

The CONTACT Research Line is coordinated by Alessandra Sciutti, who has 
extensive experience in Cognitive Architecture for Human Robot Interaction.
Within the team, your main responsibilities will be:

  *   Exploiting functional memory networks and related AI in a cognitive 
architecture for better human robot collaboration;
  *   Design of control systems for dextrose mobile robots aiming at natural 
human-robot collaboration;
  *   Development of an AI solution for context awareness in collaborative 
unstructured manufacturing contexts;
  *   Development of an AI solution for action planning in collaborative 
unstructured manufacturing contexts.
This open position is financed by European Commission through HBP (Human Brain 
Project) project CEoI for SGA3 - Application of functional architectures 
supporting advanced cognitive functions to address AI and automation problems 
of industrial and commercial within the awarded  PROMEN-AID, Proactive Memory 
iN AI for Development project (GA-94553)

Please submit your application using the online form 
(https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=it&job=2189 ) 
and including a detailed CV, cover letter (outlining motivation, experience and 
qualifications), names and contact of 2 referees.

Application's deadline:  February 20, 2022.

___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] CfP: The 4th Workshop on "Precognition: Seeing through the Future" @ CVPR 2022

[Nemanja Djuric]

Call for Workshop Papers


The 4th Workshop on "Precognition: Seeing through the Future"

in conjunction with

The 35th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 
2022)

New Orleans, June 19th-24th, 2022

https://sites.google.com/view/ieeecvf-cvpr2022-precognition


=


Despite its potential and relevance for real-world applications, visual 
forecasting or precognition has not been in the focus of new theoretical 
studies and practical applications as much as detection and recognition 
problems. Through the organization of this workshop we aim to facilitate 
further discussion and interest within the research community regarding this 
nascent topic.


The workshop will discuss recent approaches and research trends not only in 
anticipating human behavior from videos, but also precognition in multiple 
other visual applications, such as: medical imaging, health-care, human face 
aging prediction, early event prediction, autonomous driving forecasting, and 
so on. In addition, this workshop will give an opportunity for the community in 
both academia and industry to meet and discuss future work and research 
directions. It will bring together researchers from different fields and 
viewpoints to discuss existing major research problems and identify 
opportunities in further research directions in both research topics and 
industrial applications.


This is the fourth Precognition workshop organized at CVPR. It follows very 
successful workshops organized since 2019, which featured talks from 
researchers across a number of industries, insightful presentations, and large 
attendance. For full programs, slides, posters, and other resources, please 
visit the websites of earlier Precognition workshops, linked at the workshop 
website.


=


Topics:


The workshop focuses on several important aspects of visual forecasting. The 
topics of interest for this workshop include, but are not limited to:

- Early event prediction

- Activity and trajectory forecasting

- Multi-agent forecasting

- Human behavior and pose prediction

- Human face aging prediction

- Predicting frames and features in videos and other sensors in autonomous 
driving

- Traffic congestion anomaly prediction

- Automated Covid-19 prediction in medical imaging

- Visual DeepFake prediction

- Short- and long-term prediction and diagnoses in medical imaging

- Prediction of agricultural parameters from satellite imagery

- Databases, evaluation and benchmarking in precognition


=



Submission Instructions:


All submitted work will be assessed based on their novelty, technical quality, 
potential impact, insightfulness, depth, clarity, and reproducibility. For each 
accepted submission, at least one author must attend the workshop and present 
the paper. There are two ways to contribute submissions to the workshop:


- Extended abstracts submissions are single-blind peer-reviewed, and author 
names and affiliations should be listed. Extended abstract submissions are 
limited to a total of four pages. Extended abstracts of already published works 
can also be submitted. Accepted abstracts will be presented at the poster 
session, and will not be included in the printed proceedings of the workshop.


- Full paper submissions are double-blind peer-reviewed. The submissions are 
limited to eight pages, including figures and tables, in the CVPR style. 
Additional pages containing only cited references are allowed (additional 
information about formatting and style files is available at the website). 
Accepted papers will be presented at the poster session, with selected papers 
also being presented in an oral session. All accepted papers will be published 
by the CVPR in the workshop proceedings.


Submission website: https://cmt3.research.microsoft.com/PRECOGNITION2022


=


Important Deadlines:

Submission :  March 19th, 2022

Decisions :  April 4th, 2022

Camera-ready :  April 8th, 2022

Workshop:  June 19th, 2022 (subject to change by the CVPR organizers)


=


Program Committee Chairs:

- Dr. Khoa Luu (University of Arkansas)

- Dr. Kris Kitani (Carnegie Mellon University)

- Dr. Hien Van Nguyen (University of Houston)

- Dr. Nemanja Djuric (Aurora Innovation)

- Dr. Utsav Prabhu (Google)


For further questions please contact a member of the organizing committee at 
precognition.organiz...@gmail.com.

___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] [CFP] CVPR 2022 New Trends in Image Restoration and Enhancement (NTIRE) workshop and challenges

[Radu Timofte]

 Apologies for multiple postings
***

CALL FOR PAPERS  & CALL FOR PARTICIPANTS IN 11 CHALLENGES

NTIRE: 7th New Trends in Image Restoration and Enhancement workshop and
image, video, and multi-frame challenges.
In conjunction with CVPR 2022, June 19, New Orleans, US.

Website: https://data.vision.ee.ethz.ch/cvl/ntire22/
Contact: radu.timo...@vision.ee.ethz.ch

TOPICS

● Image/video inpainting
● Image/video deblurring
● Image/video denoising
● Image/video upsampling and super-resolution
● Image/video filtering
● Image/video de-hazing, de-raining, de-snowing, etc.
● Demosaicing
● Image/video compression
● Removal of artifacts, shadows, glare and reflections, etc.
● Image/video enhancement: brightening, color adjustment, sharpening, etc.
● Style transfer
● Hyperspectral imaging
● Underwater imaging
● Methods robust to changing weather conditions / adverse outdoor
conditions
● Image/video restoration, enhancement, manipulation on constrained
settings
● Image/video processing on mobile devices
● Visual domain translation
● Multimodal translation
● Perceptual enhancement
● Perceptual manipulation
● Depth estimation
● Image/video generation and hallucination
● Image/video quality assessment
● Image/video semantic segmentation, depth estimation
● Studies and applications of the above.

SUBMISSION

A paper submission has to be in English, in pdf format, and at most 8 pages
(excluding references) in CVPR style.
https://cvpr2022.thecvf.com/author-guidelines
The review process is double blind.
Accepted and presented papers will be published after the conference in the
2022 CVPR Workshops Proceedings.

Author Kit:
https://cvpr2022.thecvf.com/sites/default/files/2021-10/cvpr2022-author_kit-v1_1-1.zip

Submission site: https://cmt3.research.microsoft.com/NTIRE2022

WORKSHOP DATES

● *Regular Papers Submission Deadline: March 10, 2022*
● Challenge Papers Submission Deadline: April 1, 2022

IMAGE CHALLENGES

   1. *Spectral Reconstruction from RGB*
   2.
*Demosaicing *
   3. *Inpainting*
   4. *Perceptual Image Quality Assessment*
5.
*Learning the Super-Resolution Space *
   6. *Super-Resolution*
   7.
*Night Images Rendering *

VIDEO / MULTI-FRAME CHALLENGES

   1. *Super-Resolution and Enhancement of Compressed Videos*
2. *Stereo Super-Resolution*
   3. *Burst Super-Resolution*
   4. *High Dynamic Range (HDR) *

To learn more about the challenges, to participate in the challenges, and
to access the data everybody is invited to check the NTIRE 2022 web page:
https://data.vision.ee.ethz.ch/cvl/ntire22/

For those interested in constrained and efficient solutions validated on
mobile devices we refer to the CVPR22* Mobile AI Workshop and Challenges:*
https://ai-benchmark.com/workshops/mai/2022/

CHALLENGES DATES

● *Release of train data: January 25, 2022*
● Competitions end: March 20, 2022

SPEAKERS (TBA)

SPONSORS (TBA)


Website: https://data.vision.ee.ethz.ch/cvl/ntire22/
Contact: radu.timo...@vision.ee.ethz.ch
___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] Call-for-papers: 30th ACM International Conference on Multimedia 2022

[Bogdan Ionescu]

[Apologies for multiple postings]


ACM Multimedia 2022
Lisbon, Portugal, 10-14 October, 2022
https://2022.acmmm.org/
https://2022.acmmm.org/call-for-papers/


*** Call for papers ***
* Paper submission deadline (abstract): 31st March, 2022
* Paper submission deadline (.pdf submission): 7th April, 2022
* Acceptance notification: 29th June, 2022
* Camera-ready submission: 13th July, 2022


ACM Multimedia 2022 calls for research papers presenting novel
theoretical and algorithmic solutions to address problems across
multimedia and related application fields. The conference also calls
for papers presenting novel, thought-provoking ideas and promising
(preliminary) results in realizing these ideas. Topics of interest
include but are not limited to four major themes of multimedia:
Engagement, Experience, Systems and Understanding.

> Theme: Engaging Users with Multimedia
The engagement of multimedia with society as a whole requires research
that addresses how multimedia can be used to connect people with
multimedia artifacts that meet their needs in a variety of contexts.
The topic areas included under this theme include:
- Emotional and Social Signals
- Multimedia Search and Recommendation
- Summarization, Analytics, and Storytelling

> Theme: Experience
One of the core tenants of our research community is that multimedia
contributes to the user experience in a rich and meaningful manner.
The topics organized under this theme are concerned with innovative
uses of multimedia to enhance the user experience, how this experience
is manifested in specific domains, and metrics for qualitatively and
quantitatively measuring that experience in useful and meaningful
ways. Specific topic areas addressed this year include:
- Interactions and Quality of Experience
- Art and Culture
- Multimedia Applications

> Theme: Multimedia Systems
Research in multimedia systems is generally concerned with
understanding fundamental tradeoffs between competing resource
requirements, developing practical techniques and heuristics for
realizing complex optimization and allocation strategies, and
demonstrating innovative mechanisms and frameworks for building
large-scale multimedia applications. Within this theme, we have
focused on three target topic areas:
- Systems and Middleware
- Transport and Delivery
- Data Systems Management and Indexing

> Theme: Understanding Multimedia Content
Multimedia data types by their very nature are complex and often
involve intertwined instances of different kinds of information. We
can leverage this multi-modal perspective in order to extract meaning
and understanding of the world, often with surprising results.
Specific topics addressed this year include:
- Multimodal Fusion and Embeddings
- Vision and Language
- Media Interpretation

*** Submission Instructions ***
All submissions will be handled electronically via the CMT/OpenReview
conference submission website.
The abstract submission deadline is 31st March, 2022 (23:59 AoE).
The paper submission deadline is 07th April, 2022 (23:59 AoE).

*** Important Dates ***
Please note: The submission deadline is at 23:59 of the stated
deadline date Anywhere on Earth. All submission deadlines are firm.
Paper submission deadline (Abstract): 31st March, 2022
Paper submission deadline (.pdf submission): 7th April, 2022
Supplementary material firm deadline: 14th April, 2022
Regular Paper Reviews to Author: 26th May, 2022
Regular Paper Rebuttal Deadline: 7th June, 2022
Notification: 29th June, 2022
Camera-ready Submission: 13th July, 2022

*** Contacts ***
For any questions, please contact the Technical Program Chairs
:
Xavier Alameda-Pineda, Inria, Grenoble, France
Qin Jin, Renmin University of China, China
Vincent Oria, New Jersey Institute of Technology, USA
Laura Toni, UCL, UK


On behalf of the Publicity Chairs,

Bogdan Ionescu
https://www.aimultimedialab.ro/

https://www.AIMultimediaLab.ro/
___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] [CfP] Challenges & Perspectives in Creating Large Language Models

[Matthias Gallé]

*Call for Papers: Workshop on Challenges & Perspectives in Creating Large
Language Models*
May 27th 2022 (w/ ACL)
https://bigscience.huggingface.co/acl-2022

Two years after the appearance of GPT-3, large language models seem to have
taken over NLP. Their capabilities, limitations, societal impact and the
potential new applications they unlocked have been discussed and debated at
length. A handful of replication studies have been published since then,
confirming some of the initial findings and discovering new limitations.
This workshop aims to gather researchers and practitioners involved in the
creation of these models in order to:

1. Share ideas on the next directions of research in this field, including
– but not limited to – grounding, multi-modal models, continuous updates
and reasoning capabilities.
2. Share best-practices, brainstorm solutions to identified limitations and
discuss challenges, such as:

   - ‍*Infrastructure*. What are the infrastructure and software challenges
   involved in scaling models to billions or trillions of parameters, and
   deploying training and inference on distributed servers when each model
   replicas is itself larger than a single node capacity?
   - ‍*Data*. While the self-supervised setting dispenses with human
   annotation, the importance of cleaning, filtering and the bias and
   limitation in existing or reported corpora has become more and more
   apparent over the last years.
   - ‍*Ethical & Legal frameworks*. What type of data can/should be used,
   what type of access should be provided, what filters are or should be
   necessary?
   - ‍*Evaluation*. Investigating the diversity of intrinsic and extrinsic
   evaluation measures, how do they correlate and how the performances of a
   very large pretrained language model should be evaluated.
   - *‍Training efficiency.* Discussing the practical scaling approaches,
   practical questions around large scale training hyper-parameters and
   early-stopping conditions. Discussing measures to reduce the associated
   energy consumption.


This workshop is organized by the BigScience
 initiative and will also serve as the
closing session of this one year-long initiative aimed at developing a
multilingual large language model, which is currently gathering 900
researchers from more than 60 countries and 250 institutions. Its goal is
to investigate the creation of a large scale dataset and model from a very
wide diversity of angles.


*Submissions*
We call for relevant contributions, either in long (8 pages) or short (4
pages) format. Accepted papers will be presented during a poster session.
Submissions can be archival or non-archival.
Submission opens on February 1st, 2022 and should be made via OpenReview (
https://openreview.net/group?id=aclweb.org/ACL/2022/Workshop/BigScience).

*Dates*
Feb. 28, 2022: Submission Deadline
‍March 26, 2022: Notification of Acceptance
‍April 10, 2022: Camera-ready papers due
___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] Call-for-grand-challenge: 30th ACM International Conference on Multimedia 2022

[Bogdan Ionescu]

[Apologies for multiple postings]


ACM Multimedia 2022
Lisbon, Portugal, 10-14 October, 2022
https://2022.acmmm.org/
https://2022.acmmm.org/call-for-grand-challenge/


*** Call for Grand Challenge ***
* Grand Challenge submission: 12th February, 2022
* Acceptance notification: 1st March, 2022


ACM Multimedia is the premier international conference in the area of
multimedia within the field of computer science. Multimedia research
focuses on integration of the multiple perspectives offered by
different digital modalities including images, text, video, music,
sensor data, spoken audio.

ACM Multimedia is calling for proposals for Grand Challenges in 2022.
Proposers with an innovative idea of a Multimedia Grand Challenge,
should gather an organizational team with the capacity to carry out
the organization of a challenge, and submit a proposal according to
the instructions below. In 2022, we are emphasizing the continuity of
Grand Challenges, which is important in order to support sustained and
substantial progress in the state of the art. We ask that organizer
teams who would like to propose Grand Challenges to express a
commitment to organize their Grand Challenge multiple years in a row.

The Multimedia Grand Challenge was first presented as part of ACM
Multimedia 2009 and has established itself as a prestigious
competition in the multimedia community. The purpose of the Multimedia
Grand Challenge is to engage the multimedia research community by
establishing well-defined and objectively judged challenge problems
intended to exercise the state-of-the-art methods and inspire future
research directions. The key criteria for Grand Challenges are that
they should be useful, interesting, and their solution should involve
a series of research tasks over a long period of time, with pointers
towards longer-term research.

*** Proposal Format ***
A Multimedia Grand Challenge proposal should include:
- A brief description to explain why the challenge problem is
important and relevant to the multimedia research community, industry,
and society over the next 3-5 years or a longer horizon.
- A description of a specific set of research tasks or sub-tasks to be
carried out towards tackling the challenge problem in the long run.
- An outline of current state-of-the-art techniques and why this Grand
Challenge would help accelerate research in this important area.
- Link to sites containing relevant datasets to be used for objective
training and evaluation of the grand challenge tasks. Full appropriate
documentation on the datasets should be provided or made accessible.
- A description of rigorously defined objective criteria and/or
procedures on how the submissions will be evaluated or judged.
- A commitment to publish and maintain a website related to their
specific Grand Challenge containing the information, datasets, tasks
for the Grand Challenge at least the next 3 years.
- Work with ACM Multimedia Conference organizers to publicize the
Grand Challenge tasks to researchers for participation.
Contact information of at least two organizers who will be responsible
for organizing, publicizing, reviewing and judging the Grand Challenge
submissions as described in the proposal.
- Note that although we ask organizers to express a multi-year
commitment to their Grand Challenge, the Challenge will still undergo
a new review each year. Priority will be given to Grand Challenges
which have been successful in the past and are clearly contributing to
continuity.

*** Submission ***
Please send your MM Grand Challenge proposals to
 by the deadline listed below.

*** Important Dates ***
Please note: The submission deadline is at 11:59 p.m. of the stated
deadline date Anywhere on Earth.
Submission of Grand Challenge Proposals: 12th February, 2022
Notification of Acceptance: 1st March, 2022
Web Site and Call for Participation Ready: 15th March, 2022
MM Grand Challenge Camera Ready papers due: 17th July, 2022

*** Contacts ***
For questions regarding the Grand Challenges you can email the
Multimedia Grand Challenge Chairs :
Miriam Redi, Wikimedia Foundation
Georges Quénot, LIG-CNRS, France


On behalf of the Publicity Chairs,

Bogdan Ionescu
https://www.aimultimedialab.ro/

___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] Deadline Extension - CFP Special Issue on Socially Acceptable Robot Behavior: Approaches for Learning, Adaptation and Evaluation

[Oliver Roesler]

*DEADLINE EXTENSION*

**Apologies for cross-posting**

We are happy to announce that the deadline for submissions has been
extended until _*March 31*_.


*CALL FOR PAPERS*

*Special Issue* on

*Socially Acceptable Robot Behavior: Approaches for Learning, Adaptation
and Evaluation*

in Interaction Studies 


*I. Aim and Scope*

A key factor for the acceptance of robots as regular partners in
human-centered environments is the appropriateness and predictability of
their behavior. The behavior of human-human interactions is governed by
customary rules that define how people should behave in different
situations, thereby governing their expectations. Socially compliant
behavior is usually rewarded by group acceptance, while non-compliant
behavior might have consequences including isolation from a social
group. Making robots able to understand human social norms allows for
improving the naturalness and effectiveness of human-robot interaction
and collaboration. Since social norms can differ greatly between
different cultures and social groups, it is essential that robots are
able to learn and adapt their behavior based on feedback and
observations from the environment.

This special issue in Interaction Studies
 aims to attract the latest research
aiming at learning, producing, and evaluating human-aware robot
behavior, thereby, following the recent RO-MAN 2021 Workshop on Robot
Behavior Adaptation to Human Social Norms (TSAR)
 in providing a venue to discuss the
limitations of the current approaches and future directions towards
intelligent human-aware robot behaviors.

*II. Submission*

 1. Before submitting, please check the official journal guidelines
.
 2. For paper submission, please use the online submission system
.
 3. After logging into the submission system, please click on "Submit a
manuscript" and select "Original article".
 4. Please ensure that you select "Special Issue: Socially Acceptable
Robot Behavior" under "General information".

    The primary list of topics covers the following points (but not
limited to):

  * Human-human vs human-robot social norms
  * Influence of cultural and social background on robot behavior perception
  * Learning of socially accepted behavior
  * Behavior adaptation based on social feedback
  * Transfer learning of social norms experience
  * The role of robot appearance on applied social norms
  * Perception of socially normative robot behavior
  * Human-aware collaboration and navigation
  * Social norms and trust in human-robot interaction
  * Representation and modeling techniques for social norms
  * Metrics and evaluation criteria for socially compliant robot behavior

*III. Timeline*

 1. Deadline for paper submission: *March 31, 2022***
 2. First notification for authors: *June 15, 2022*
 3. Deadline for revised papers submission: *July 31, 2022*
 4. Final notification for authors: *September 15, 2022*
 5. Deadline for submission of camera-ready manuscripts: *October 15, 2022*

    Please note that these deadlines are only indicative and that all
submitted papers will be reviewed as soon as they are received.

*IV. Guest Editors*

 1. *Oliver Roesler* – Vrije Universiteit Brussel – Belgium
 2. *Elahe Bagheri* – Vrije Universiteit Brussel – Belgium
 3. *Amir Aly* – University of Plymouth – UK
 4. *Silvia Rossi* – University of Naples Federico II – Italy
 5. *Rachid Alami* – CNRS-LAAS – France

___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] Call-for-workshops: 30th ACM International Conference on Multimedia 2022

[Bogdan Ionescu]

[Apologies for multiple postings]


ACM Multimedia 2022
Lisbon, Portugal, 10-14 October, 2022
https://2022.acmmm.org/
https://2022.acmmm.org/call-for-workshops/


*** Call for workshops ***
* Workshop proposal submission: 1st March, 2022
* Acceptance notification: 20th March, 2022


We are soliciting proposals for workshops to be held in conjunction
with the ACM Multimedia 2022. The purpose of the workshops is to
provide a comprehensive forum on current and emerging topics that will
not be fully explored during the main conference and to encourage
in-depth discussion of technical and application issues.

*** Proposal Format ***
Each workshop proposal (maximum 4 pages, in PDF format) must include:
1. Title of the workshop.
2. Workshop organizers (name, affiliation and short biography).
3. Scope and topics of the workshop.
4. Rationale:
- Why the workshop is related to ACM Multimedia 2022.
- Why the topic is important.
- Why the workshop may attract a significant number of attendees.
- A brief biography for each organizer and panelist.
5. Workshop details:
- A draft call for papers (including organizers, program committee and
steering committee if any, as well as tentative dates). Organizers are
expected to be fully committed and physically present at the workshop.
- Workshop tentative schedule (number of expected papers, number of
expected attendees, duration full/half day, format talks/posters,
etc.). We encourage events that demonstrate the interest of the
community in the proposed topic and guarantee the commitment of the
organizers.
- Names of potential participants and invited speakers (if any).
6. Workshop history:
If there are past workshops, the history of the workshop.

*** Important Dates ***
The submission deadline is at 11:59 p.m. of the stated deadline date
Anywhere on Earth.
Workshop proposal submission: 1st March, 2022
Decision notification: 20th March, 2022
Workshop paper notification: 29th July, 2022
Workshop paper camera-ready: 21th August, 2022

*** Proposal Submission ***
Please send your Workshop proposals to  by
the deadline listed below.

*** Contacts ***
For questions regarding the submission you can email the workshop
chairs :
Teresa Chambel, Universidade de Lisboa, Portugal
Riccardo Leonardi, University of Brescia, Italy
Richang Hong, Hefei University of Technology, China
Liqiang Nie, Shandong University, China


On behalf of the Publicity Chairs,

Bogdan Ionescu
https://www.aimultimedialab.ro/
___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] Visiting Assistant Professor in Data Science at Oberlin College (deadline February 14, 2022)

[Adam Eck]

Link: https://jobs.oberlin.edu/postings/11490 


Oberlin College invites applications for a full-time non-continuing faculty 
position in the College of Arts and Sciences. Appointment to this position will 
be for a term of two years, beginning fall semester of 2022, and will carry the 
rank of Visiting Assistant Professor.

Founded in 1833, Oberlin is a private four-year, selective liberal arts college 
near Cleveland, Ohio and is also home to an outstanding Conservatory of Music. 
Together, the two divisions enroll approximately 2900 students. Oberlin College 
was the first college in the US to make interracial education and co-education 
central to its mission. The College continues to view a diverse, equitable and 
inclusive educational environment as essential to the excellence of its 
academic program. Among liberal arts colleges, Oberlin is a national leader in 
successfully placing graduates into PhD programs.

Responsibilities:

The incumbent will teach a total of five courses per year in the general area 
of data science.

Qualifications:

Among the qualifications required for appointment is the Ph.D degree (in hand 
or expected by first semester of academic year 2022-23) in a field related to 
data science, including (but not limited to) Computer Science, Statistics, or 
Mathematics. Candidates must demonstrate interest and potential excellence in 
undergraduate teaching. Successful teaching experience at the college level is 
desirable. Oberlin College is committed to student and faculty diversity, 
equity and inclusion. The incumbent will bring understanding of or experience 
working with underrepresented and diverse academic populations. Oberlin is 
especially interested in candidates who can contribute to the excellence and 
diversity of the academic community through their research, teaching, and 
service. Oberlin recruits, employs, trains, compensates, and promotes 
regardless of race, religion, color, national origin, gender, gender identity, 
sexual orientation, disability, age, veteran’s status, and/or other protected 
status as required by applicable law. Compensation: Within the range 
established for this position, salary will be commensurate with qualifications 
and experience and includes an excellent benefits package.

Special Instructions: To apply, candidates should visit the online application 
site found at https://jobs.oberlin.edu 
. A complete application will be 
comprised of 1) a Cover Letter describing your teaching, scholarship, 
mentorship, and service, detailing any connections to supporting an inclusive 
learning environment; 2) a Curriculum Vitae; 3) an unofficial graduate 
transcript; 4) a Teaching Statement showing your commitment to diversity and 
inclusion, and how you incorporate current instructional research into your 
teaching; 5) a research statement that includes how you will support 
undergraduate research and, if applicable, how you might incorporate 
undergraduate students into your research program; and 6) Letters of Reference 
from three recommenders.* All application materials must be submitted 
electronically through Oberlin College and Conservatory's online application 
process at: https://jobs.oberlin.edu/ 

*By providing three letters of reference, you agree that we may contact your 
letter writers. Review of applications will begin on February 14, 2022, and 
will continue until the position is filled. Completed applications received by 
the February 14 deadline will be guaranteed full consideration.___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] CFC Edited Book: Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence

[Yassine MALEH]

*Edited Book: **Big Data Analytics and Intelligent Systems for Cyber Threat
Intelligence*

*By *River Publishers Series in Security and Digital Forensics

 (IEEEXplore
)

*Call for Chapters: **Call for Chapters Link
*
*Submission link: Submission link
*
*2nd Call for Chapter Submission**: February 15, 2022*
-

The Editors of the River Book *"**Big Data Analytics and Intelligent
Systems for Cyber Threat Intelligence**"* invites submissions
containing Original, High-Quality Ideas that are relevant to the SCOPE
OF THE BOOK. The full chapter may kindly be sent in Latex or Word
format. The book will MAINLY focus on significant issues in the field
of Big Data Analytics and Intelligent Systems for Cyber Threat
Intelligence. The book is mainly intended for post-graduate students,
research scholars, academics, industry, and research lab scientists.

For details the following website may kindly be referred:

--
Call for chapters Website 

*Topics of Interest:*

This book targets a mixed audience of researchers, academics and
investigators from different communities to share and exchange new ideas,
approaches, theories and practices to resolve the challenging issues
associated with the leveraging of Big Data Analytics and Intelligent
Systems for Cyber Threat Intelligence. Therefore, the suggested topics of
interest for this book include, but are not limited to:

   - Big data analytics for Cyber threat intelligence and detection
   - Artificial Intelligence Analytics Techniques
   - Real-time situational awareness
   - Machine Learning techniques for CTI
   - Deep Learning techniques for CTI
   - Malware detection and prevention techniques
   - Intrusion and cybersecurity threat detection and analysis
   - Cyber-physical-social system security and incident management
   - Mobile and cloud computing security
   - IoT cybersecurity and privacy
   - Big data analytics for cybersecurity
   - Big data analytics for digital forensics
   - Dark Web Analytics for Proactive CTI applications
   - Real-time AI for cyber threat detection
   - Machine learning for CTI
   - Data intelligence and DataOps
   - AI for preventing security and data breaches
   - AI for Risk management and threat management


*Submission Procedure:*

Authors are invited to submit their full chapter by *February 15,
2022.* Manuscripts
submitted for the book must be original, must not be previously published
or currently under review anywhere. Submitted manuscripts should respect
the standard guidelines of the river book chapter format. Manuscripts must
be prepared using Latex, or Word, and according to the River requirements
that can be downloaded from the (*link
*) and the
Chapter should contain in between *15-24 pages*. Manuscripts that do not
follow the formatting rules will be rejected without review. Prospective
authors should send their manuscripts electronically through the easychair
submission system as mentioned below:

*Submission Link:* https://easychair.org/conferences/?conf=bigdatacti-21

*NB:* There are *no submission or acceptance fees* for manuscripts
submitted to this book publication. All manuscripts are accepted based on a
double-blind peer review editorial process.

*Abstracting and Indexing:*

All books published in this series are submitted to IEEExplore
, the Web
of Science Book Citation Index (BkCI), to SCOPUS, to CrossRef and to Google
Scholar for evaluation and indexing

*Contact: *
For questions regarding the book, please contact the *volume editor*:

   - *Yassine Maleh:*yassine.ma...@ieee.org

We look forward to hearing from you.
___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] [CFP] CVPR 2022 Workshop on Continual Learning (3rd Edition)

[Vincenzo Lomonaco]

Dear all,

It is my pleasure to personally invite you to join the *Continual Learning
workshop* we are organising this year at CVPR. You can find a more
detailed *call
for participation *below.

--

*CVPR 2022 Workshop on Continual Learning (3rd Edition)*


The CVPR 2022 Workshop on Continual Learning (CLVision, 3rd Edition) aims
to gather researchers and engineers from academia and industry to discuss
the latest advances in Continual Learning. In this one-day workshop, we
will have regular paper presentations, invited speakers, and technical
benchmark challenges to present the current state of the art, as well as
the limitations and future directions for Continual Learning, arguably one
of the most crucial milestones of AI.
We invite Continual Learning contributions of any kind, not necessarily
related to Computer Vision. Join one of the largest gatherings of Continual
Learning in the world (last year we had more than 600 unique attendees)!

*How to participate?*

   1. Apply a continual learning related paper (short, non-archival or
   full-length).
   2. Submit to our well-tailored challenge tracks.
   3. Save the date and join the workshop! (June 20th 2022)

*Important Dates (call for papers)*

   - Workshop paper submission deadline: *March 9th 2022* (11:59 pm Pacific
   Time)
   - Notification to authors: March 28th 2022
   - Camera-ready deadline: April 8th 2022
   - Workshop date: June 20th 2022 (to be decided by CVPR organisers)

*Invited Speakers*

   - Bing Liu (University of Chicago)
   - Irina Higgins (Google DeepMind)
   - Sebastian Risi (University of Copenhagen)
   - Zeynep Akata (University of Tübingen)
   - Tyler Hayes (RochesterIT)
   - Siddharth Swaroop (Cambridge)

*General Chairs*

   - Matthias De Lange (KU Leuven)
   - Vincenzo Lomonaco (University of Pisa & ContinualAI)
   - Pau Rodriguez (Element AI)
   - David Vazquez (Element AI)
   - Antonio Carta (University of Pisa)
   - Gido Van de Ven (Baylor College of Medicine)
   - Dhireesha Kudithipudi (UTSA)
   - Irina Rish (MILA)
   - Tinne Tuytelaars (KU Leuven)


*Challenge Description*
For this workshop, Meta will release a novel dataset featuring short video
sessions taken from an egocentric point of view. The annotation level will
allow us to define 3 tracks in which you can participate: a more “classic”
classification track, and two new detection tracks. Besides making
detection in CL more accessible, very generous prizes will be awarded to
the best solutions! Will you be the first to define the state-of-the art on
this new benchmark?
The latest info about the challenge is available at the official workshop
website: 3rd CLVISION CVPR Workshop - Challenge


*Important Dates (challenge)*
(Subject to change, check the official website)

   - Beginning of the pre-selection phase (release of 'demo track' data and
   baselines): 4 March 2022
   - Opening of submission tracks: Later in March 2022 (see website for
   updates)
   - Pre-selection phase ends: 29 May 2022
   - Final ranking will be disclosed in the workshop: June 2022

*Challenge Chairs*

   - Lorenzo Pellegrini (University of Bologna)
   - Zhicheng Yan (Meta)
   - Chenchen Zhu (Meta)


Check out the Official Website ,
for more details and contact us for any question at
contvisionworks...@gmail.com!



Kind regards,

Vincenzo Lomonaco,
and the CLVision board
___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] [LCN 2022] CfP: Paper Registration by April 1st; Submission by April 8th, 2022

[publicity]

   
Call for Papers

47th Annual IEEE Conference on Local Computer Networks
Edmonton, Canada   September 26-29, 2022
https://www.ieeelcn.org

The IEEE LCN conference is the premier conference on the leading edge of 
theoretical and practical aspects of computer networking. LCN is a highly 
interactive conference that enables an effective interchange of results and 
ideas among researchers, users, and product developers. For the past 46 years, 
major developments from AI-enabled high-speed networking to application-focused 
IoT networks have been reported at this conference. 

Topics of interest include, but are not limited to:
 
*   Personal and wearable networks  *   Green networking
*   Wireless ad hoc & sensor networks   *   Overlay and 
peer-to-peer networks
*   Information-centric networking  *   Local-area and 
metropolitan-area networks
*   Embedded networks   *   Storage-area 
networks
*   Opportunistic networking*   Routing and 
transport protocols 
*   Delay-tolerant networks *   Big Data 
Networking
*   Cognitive radio networks*   Cloud computing 
and networking
*   Vehicular networks  *   Software 
Defined Networking and Network Function Virtualization 
*   Smart Grid communications   *   Internet of 
Things
*   Underwater sensor networks  *   Link 
technologies
*   Cyber-physical systems  *   Adaptive 
networking applications
*   Social networks *   Authentication, 
authorization, accounting
*   Mobile and ubiquitous networking*   Security and 
privacy
 
*   Cross-layer optimization
*   Mobility and Location-dependent services
*   Multimedia and real-time communication
*   Machine-to-machine communications for smart environments
*   Smart Cities
*   Network traffic characterization and measurements
*   Network management, reliability and QoS
*   Performance evaluation of networks
*   Test beds for network experiments
*   Network coding
*   Optical and high-speed access networks
*   E-Health networking
*   AI-enabled networking

In addition to the main conference track, the LCN Symposium provides an 
opportunity to present early work in-progress that shows exciting promise. The 
aim of the Symposium is to enable timely discussion of novel ideas and 
challenging future directions on emerging topics in networking.

Submissions in areas such as, but not limited to, the following are encouraged:

* Edge/Fog Computing* AI for Networking * Smart Cities

IEEE LCN 2022 will also feature a demo session with the aim of providing 
demonstrations that validate important research issues and/or show innovative 
prototypes. More information can be found on the conference Web site.

Furthermore, the IEEE LCN 2022 will include a Doctoral track session in support 
of graduate student’s research.  The goal of the Doctoral Track is to engage 
graduate students, especially Ph.D. students, that work in the general area of 
networking to actively participate and contribute to the 47th IEEE LCN 
Conference.  More information can be found on the conference Web site. 

Authors are invited to submit papers describing original, previously 
unpublished work, not currently under review by another conference, workshop, 
or a journal. Full Regular papers (maximum 8 pages, 8 pt font in IEEE format) 
should present novel perspectives within the general scope of the conference. 
Short papers (up to 4 pages) are an opportunity to present preliminary or 
interim results on hot topics in a poster session.  Symposium papers (maximum 6 
pages) enable timely discussion of novel ideas and challenging future 
directions on emerging topics in networking. Both full and short papers are 
published in the proceedings and IEEE Xplore.  All papers must include title, 
complete contact information for all authors, abstract, and keywords on the 
cover page. 

IEEE reserves the right to remove papers from IEEE Xplore that are not 
presented at the conference.

Paper submission: Papers must be registered on EDAS and submitted in PDF 
format. Detailed submission instructions are available at the conference 
website. Direct any questions  to  LCN  Program  Chairs  Sharief  Oteafy  
(sote...@depaul.edu) and Eyuphan Bulut (ebu...@vcu.edu) or  LCN  Symposium  
Chair  Kanchana Thilakarathna (kanchana.thilakarat...@sydney.edu.au).

Important dates:
Paper registration: April 1, 2022
Paper submission:   April 8, 2022
Notification:   June 15, 2022
Final paper:July 15, 2022
 
General Chair: Lyes Khoukhi, ENSICAEN, Normandie Univ., France 
Program Chair: Sharief Oteafy, DePau

[UAI] [ACM HT 2022] 3rd Call for Papers

[Ujwal Gadiraju]

** Apologies for cross-posting **

Call for Papers

The 33th ACM Conference on Hypertext and Social Media  (ACM HT)

Barcelona*, Spain, June 28 - July 1, 2022

https://ht.acm.org/ht2022/

   co-located with ACM UMAP 2022



Due to the ongoing COVID-19 pandemic, we are planning for a hybrid conference 
and will accommodate online presentations where needed.


ACM HT - Hypertext and Social Media conference - is a premium venue for 
high-quality peer-reviewed research on hypertext theory, systems and 
applications. It is concerned with all aspects of modern hypertext research 
including social media,  linked open data and knowledge graphs, information 
exploration and visualisation, dynamic and computed hypermedia, as well 
applications for digital arts, culture, and humanities.

ACM HT is sponsored by ACM SIGWEB. The proceedings are 
published by the ACM and will be part of the ACM Digital 
Library.



Tracks:

==

HT 2022 will explore, study and shape a broad range of dimensions faced by 
modern hypertext studies, covering the following tracks chaired by leading 
researchers:


* Social web content, language and network (chair: Marcelo Armentano)

* Digital humanities, culture and society (chair: Jessica Rubart)

* Information exploration and visualisation (chair: Claus Atzenbeck)
* Personalized recommender systems (chairs: Markus Zanker, Eva Zangerle, Osnat 
Mokryn)


Submissions:

==

HT 2022 will include high-quality peer-reviewed papers related to the above key 
areas. Maintaining the high quality and impact of the HT series, each paper 
will have three reviews by program committee members and a meta-review 
presenting the reviewers' consensual view; the review process will be 
coordinated by the program chairs in collaboration with the corresponding area 
chairs.


* Peer reviewed, original, and principled research papers addressing both the 
theory and practice of HT and papers showcasing innovative use of HT and 
exploring the benefits and challenges of applying HT technology in real-life 
applications and contexts are welcome. Papers should present original reports 
of substantive new research techniques, findings, and applications of HT. They 
should place the work within the field and clearly indicate innovative aspects. 
Research procedures and technical methods should be presented in sufficient 
detail to ensure scrutiny and reproducibility. Results should be clearly 
communicated and implications of the contributions/findings for HT and beyond 
should be explicitly discussed.


* Length: Papers should be at most 14 pages and  will be reviewed according to 
the presented contributions. In other words, we don’t have a distinct category 
for short papers, which means that papers, no matter what page length, will be 
reviewed according to the same criteria.



Publication:

==

Accepted papers will be published by ACM and will be available via the ACM 
Digital Library. Extended versions of selected papers presented at the 
conference could be selected to appear in different special issues in 
international journals according to the specific tracks (see the web site for 
details). At least one author of each accepted paper must register for the 
conference and present the paper there. Submission details will appear soon.


Important Dates:

==

* 10 February 2022: Abstracts (compulsory)

* 17 February 2022: Full Papers

The submission time is 11:59pm AoE.



Organization:

==

GENERAL CHAIRS

Alejandro Bellogin, Universidad Autónoma de 
Madrid

Ludovico Boratto, University of Cagliari


PROGRAM CHAIR

Federica Cena, University of Torino




Best,

Ujwal


Publicity Chair, ACM Hypertext & Social Media 2022





Dr. Ir. Ujwal Gadiraju

Assistant Professor

Web Information Systems

Delft University of Technology

The Netherlands

W: https://wis.ewi.tudelft.nl/gadiraju

W: https://www.ujwalgadiraju.com
E: u.k.gadir...@tudelft.nl

https://www.academicfringe.org
___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai