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9 Results
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Poster
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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 |
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Workshop
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A Fair Loss Function for Network Pruning Robbie Meyer · Alexander Wong |
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Poster
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Tue 9:00 |
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective Chanwoo Park · Sangdoo Yun · Sanghyuk Chun |
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Workshop
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Learning Ordinary Differential Equations with the Line Integral Loss Function Albert Johannessen |
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Poster
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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 |
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Poster
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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 |
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Workshop
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Fri 11:50 |
Differential top-k learning for template-based single-step retrosynthesis Andres M Bran · Philippe Schwaller |
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Poster
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Tue 9:00 |
Biologically plausible solutions for spiking networks with efficient coding Veronika Koren · Stefano Panzeri |
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Poster
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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 |