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Workshop
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Benchmarking Adversarial Robustness of Compressed Deep Learning Models
Brijesh Vora · Kartik Patwari · Syed Mahbub Hafiz · Zubair Shafiq · Chen-Nee Chuah
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Poster
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Wed 17:00
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Maximal Initial Learning Rates in Deep ReLU Networks
Gaurav Iyer · Boris Hanin · David Rolnick
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Workshop
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ProtoGate: Prototype-based Neural Networks with Local Feature Selection for Tabular Biomedical Data
Xiangjian Jiang · Andrei Margeloiu · Nikola Simidjievski · Mateja Jamnik
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Workshop
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MOLE: MOdular Learning FramEwork via Mutual Information Maximization
Tianchao Li · Yulong Pei
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Workshop
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Concept-aware clustering for decentralized deep learning under temporal shift
Edvin Listo Zec · Emilie Klefbom · Marcus Toftås · Martin Willbo · Olof Mogren
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Poster
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Thu 16:30
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Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning
Matthias Gerstgrasser · David Parkes
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Workshop
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How Can Neuroscience Help Us Build More Robust Deep Neural Networks?
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Poster
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Thu 16:30
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Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning
aqeel labash · Florian Stelzer · Daniel Majoral Lopez · Raul Vicente
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Workshop
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Don't trust your eyes: on the (un)reliability of feature visualizations
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Workshop
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Towards Modular Learning of Deep Causal Generative Models
Md Musfiqur Rahman · Murat Kocaoglu
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Workshop
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R-LPIPS: An Adversarially Robust Perceptual Similarity Metric
Sara Ghazanfari · Siddharth Garg · Prashanth Krishnamurthy · Farshad Khorrami · Alexandre Araujo
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Workshop
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Mathematical Theory of Adversarial Deep Learning
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