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Workshop
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PAC-Bayesian Adversarially Robust Generalization Bounds for Deep Neural Networks
Jiancong Xiao · Ruoyu Sun · Zhi-Quan Luo
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Workshop
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Deep Neural Networks Extrapolate Cautiously in High Dimensions
Katie Kang · Amrith Setlur · Claire Tomlin · Sergey Levine
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Workshop
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Sat 12:40
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Genomic Interpreter: A Hierarchical Genomic Deep Neural Network with 1D Shifted Window Transformer
William Beardall · Zehui Li
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Workshop
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Deep Neural Networks Extrapolate Cautiously (Most of the Time)
Katie Kang · Amrith Setlur · Claire Tomlin · Sergey Levine
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Workshop
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Fri 14:30
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Formal Verification for Counting Unsafe Inputs in Deep Neural Networks
Luca Marzari · Davide Corsi · Ferdinando Cicalese · Alessandro Farinelli
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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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Streaming Active Learning with Deep Neural Networks
Akanksha Saran · Safoora Yousefi · Akshay Krishnamurthy · John Langford · Jordan Ash
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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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Tackling Shortcut Learning in Deep Neural Networks: An Iterative Approach with Interpretable Models
Shantanu Ghosh · Ke Yu · Forough Arabshahi · Kayhan Batmanghelich
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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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Workshop
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Fri 14:10
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Caveats of neural persistence in deep neural networks
Leander Girrbach · Anders Christensen · A. Koepke · Ole Winther · Zeynep Akata
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Affinity Workshop
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Mon 19:15
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Gabor Filters as Initializers for Convolutional Neural Networks: A Study on Inductive Bias and Performance on Image Classification
Pablo Rivas · Mehang Rai
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