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Workshop
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Active metric learning and classification using similarity queries
Namrata Nadagouda · Austin Xu · Mark Davenport
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Poster
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Thu 14:00
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Integral Probability Metrics PAC-Bayes Bounds
Ron Amit · Baruch Epstein · Shay Moran · Ron Meir
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Poster
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Wed 14:00
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Deep Model Reassembly
Xingyi Yang · Daquan Zhou · Songhua Liu · Jingwen Ye · Xinchao Wang
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Workshop
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Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs
Georg Kohl · Liwei Chen · Nils Thuerey
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Workshop
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Reconstruction of polymer structures from contact maps with Deep Learning
Atreya Dey
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Poster
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Wed 14:00
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The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning
Zixin Wen · Yuanzhi Li
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Affinity Workshop
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Estimating Uncertainty in Safety-Critical Deep Learning Models
Oishi Deb
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Poster
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Thu 9:00
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GULP: a prediction-based metric between representations
Enric Boix-Adsera · Hannah Lawrence · George Stepaniants · Philippe Rigollet
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Poster
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Wed 14:00
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Data-Efficient Augmentation for Training Neural Networks
Tian Yu Liu · Baharan Mirzasoleiman
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Poster
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Thu 9:00
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On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses
Anshuman Chhabra · Ashwin Sekhari · Prasant Mohapatra
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Poster
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Thu 14:00
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Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress
Rishabh Agarwal · Max Schwarzer · Pablo Samuel Castro · Aaron Courville · Marc Bellemare
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Workshop
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Solving Singular Liouville Equations Using Deep Learning
Yuxiang Ji
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