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Poster
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Wed 9:00
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Make Some Noise: Reliable and Efficient Single-Step Adversarial Training
Pau de Jorge Aranda · Adel Bibi · Riccardo Volpi · Amartya Sanyal · Philip Torr · Gregory Rogez · Puneet Dokania
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Poster
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Tue 14:00
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Toward Efficient Robust Training against Union of ℓp Threat Models
Gaurang Sriramanan · Maharshi Gor · Soheil Feizi
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Workshop
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Mind the Retrosynthesis Gap: Bridging the divide between Single-step and Multi-step Retrosynthesis Prediction
Alan Kai Hassen · Paula Torren-Peraire · Samuel Genheden · Jonas Verhoeven · Mike Preuss · Igor Tetko
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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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Poster
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Thu 14:00
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Supervised Training of Conditional Monge Maps
Charlotte Bunne · Andreas Krause · Marco Cuturi
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Workshop
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Box Prediction Rebalancing for Training Single-Stage Object Detectors with Partially Labeled Data
Shafin Haque · R. Austin McEver
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Workshop
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Fri 14:30
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Topographic DCNNs trained on a single self-supervised task capture the functional organization of cortex into visual processing streams
Dawn Finzi
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Poster
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On the Tradeoff Between Robustness and Fairness
Xinsong Ma · Zekai Wang · Weiwei Liu
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Workshop
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Topographic DCNNs trained on a single self-supervised task capture the functional organization of cortex into visual processing streams
Dawn Finzi · Eshed Margalit · Kendrick Kay · Dan Yamins · Kalanit Grill-Spector
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Poster
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Pre-trained Adversarial Perturbations
Yuanhao Ban · Yinpeng Dong
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Workshop
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Identification of the Adversary from a Single Adversarial Example
Minhao Cheng · Rui Min
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Poster
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Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors
Qixun Wang · Yifei Wang · Hong Zhu · Yisen Wang
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