Search All 2022 Events

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Tue 9:00 Structured Energy Network As a Loss
Jay Yoon Lee · Dhruvesh Patel · Purujit Goyal · Wenlong Zhao · Zhiyang Xu · Andrew McCallum
A Fair Loss Function for Network Pruning
Robbie Meyer · Alexander Wong
Tue 9:00 A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective
Chanwoo Park · Sangdoo Yun · Sanghyuk Chun
Learning Ordinary Differential Equations with the Line Integral Loss Function
Albert Johannessen
Tue 14:00 Are All Losses Created Equal: A Neural Collapse Perspective
Jinxin Zhou · Chong You · Xiao Li · Kangning Liu · Sheng Liu · Qing Qu · Zhihui Zhu
Wed 9:00 Fair Wrapping for Black-box Predictions
Alexander Soen · Ibrahim Alabdulmohsin · Sanmi Koyejo · Yishay Mansour · Nyalleng Moorosi · Richard Nock · Ke Sun · Lexing Xie
Fri 11:50 Differential top-k learning for template-based single-step retrosynthesis
Andres M Bran · Philippe Schwaller
Tue 9:00 Biologically plausible solutions for spiking networks with efficient coding
Veronika Koren · Stefano Panzeri
Thu 9:00 Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks
Mansheej Paul · Brett Larsen · Surya Ganguli · Jonathan Frankle · Gintare Karolina Dziugaite