[Apologies for cross posting] ICML 2021 Workshop on Subset Selection in ML
Website: https://sites.google.com/view/icml-2021-subsetml/home. Important Dates: ? Submission deadline: Sunday, June 6th, 23:59 AOE ? Author notification: Wednesday, June 16th ? Camera-ready deadline and videos for selected talks: June 25th ? Workshop date: Saturday, 24th July 2021 We will be using CMT to handle paper submissions (https://cmt3.research.microsoft.com/SUBSETML2021). Please submit papers before the deadline above. Submissions in the form of extended abstracts must be at most 6 pages long (not including references and an unlimited number of pages for supplemental material, which reviewers are not required to take into account) and adhere to the ICML format. You can submit your NeurIPS 2021 papers (under review). ------------------------------------------ ABOUT THIS WORKSHOP AND CALL FOR PAPERS The workshop would encompass a wide variety of topics ranging from theoretical aspects of subset selection e.g. coresets, submodularity, determinantal point processes, to several practical applications, e.g., time and energy-efficient learning, learning under resource constraints, active learning, human-assisted learning, feature selection, model compression, feature induction, etc. We invite submissions that are not limited to: Theoretical Directions 1. Coresets 2. Determinantal Point Processes 3. Submodular functions and their optimization 4. Information-Theoretic Approaches Applications of Subset Selection 1. Compute efficient training (training time and energy efficiency) 2. Active Learning and selecting subsets of unlabelled data for labeling 3. Human assisted learning 4. Feature selection and dimensionality reduction 5. Cost-sensitive feature selection 6. Model compression 7. Rule augmentation and Data programming 8. Image segmentation, image correspondence, and MAP inference in graphical models. 9. Data Summarization (e.g. video, image collection, document, news summarization) 10. Peptide Matching, Proteomics, etc. 11. Learning of neural set functions The above are just a few of the potential applications and theoretical directions. If you are working on anything related to subset selection in ML, AI, and deep learning, please consider submitting to and attending our workshop! We accept submissions of work recently published or currently under review. Submissions should be anonymized as described in the submission instructions and should be submitted through: The workshop will not have formal proceedings, but authors of accepted abstracts can choose to have either a link to an Arxiv version of their paper or a pdf published on the workshop webpage. If the authors give us an Arxiv link, we will link it here from the list of accepted papers on this webpage. --------------------------------------------- Invited Speakers Amin Karbasi (Yale) Andreas Krause (ETH Zurich) Baharan Mirzasoleiman (UCLA) Cody Coleman (Stanford) Dan Feldman (Haifa University) Luc De Raedt (LU Leuven) Maneul Gomez Rodriguez (MPI-SWS) Rajiv Khanna (UC Berkeley) -------------------------------------------- Organizers: Rishabh Iyer, Abir De, Ganesh Ramakrishnan Jeff Bilmes
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