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Workshop
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Sat 6:30
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Contributed talk: Kieran Murphy, "Characterizing information loss in a chaotic double pendulum with the Information Bottleneck"
Kieran Murphy · Siddharth Mishra-Sharma
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Workshop
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Sat 13:15
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Aaron Sidford, Efficiently Minimizing the Maximum Loss
Aaron Sidford
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Affinity Workshop
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Determination of Neural Network Parameters for Path Loss Prediction in Very High Frequency Wireless Channel
Abigail Jefia · Segun Popoola · Aderemi A. Atayero
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Workshop
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Fri 11:50
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Differential top-k learning for template-based single-step retrosynthesis
Andres M Bran · Philippe Schwaller
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Workshop
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Prioritizing Samples in Reinforcement Learning with Reducible Loss
Shivakanth Sujit · Somjit Nath · Pedro Braga · Samira Ebrahimi Kahou
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Poster
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Wed 14:00
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PROSPECT: Labeled Tandem Mass Spectrometry Dataset for Machine Learning in Proteomics
Omar Shouman · Wassim Gabriel · Victor-George Giurcoiu · Vitor Sternlicht · Mathias Wilhelm
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Workshop
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What shapes the loss landscape of self-supervised learning?
Liu Ziyin · Ekdeep S Lubana · Masahito Ueda · Hidenori Tanaka
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Poster
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[Re] Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation
Aryan Mehta · Karan Uppal · Kaushal Jadhav · Monish Natarajan · Mradul Agrawal · Debashish Chakravarty
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Poster
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Tue 14:00
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Posterior Collapse of a Linear Latent Variable Model
Zihao Wang · Liu Ziyin
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Poster
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Wed 9:00
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Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses
Sanket Shah · Kai Wang · Bryan Wilder · Andrew Perrault · Milind Tambe
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Poster
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Tue 14:00
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Differentially Private Online-to-batch for Smooth Losses
Qinzi Zhang · Hoang Tran · Ashok Cutkosky
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Poster
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Tue 9:00
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Biologically plausible solutions for spiking networks with efficient coding
Veronika Koren · Stefano Panzeri
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