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Workshop
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Machine learning-assisted close-set X-ray diffraction phase identification of transition metals
Maksim Zhdanov · Andrey Zhdanov
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Workshop
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Thu 8:00
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Machine learning-guided directed evolution of functional proteins
Andrew Ferguson
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Poster
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Mon 2:30
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Valid P-Value for Deep Learning-driven Salient Region
Daiki Miwa · Vo Nguyen Le Duy · Ichiro Takeuchi
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Poster
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How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules
Yutong Xie · Ziqiao Xu · Jiaqi Ma · Qiaozhu Mei
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Poster
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Mon 2:30
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Provable Defense Against Geometric Transformations
Rem Yang · Jacob Laurel · Sasa Misailovic · Gagandeep Singh
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Oral
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Wed 7:10
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Inequality phenomenon in l∞-adversarial training, and its unrealized threats
Ranjie Duan · YueFeng Chen · Yao Zhu · Xiaojun Jia · Rong Zhang · Hui Xue'
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Oral
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Mon 2:10
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Provable Defense Against Geometric Transformations
Rem Yang · Jacob Laurel · Sasa Misailovic · Gagandeep Singh
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Poster
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Wed 7:30
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Inequality phenomenon in l∞-adversarial training, and its unrealized threats
Ranjie Duan · YueFeng Chen · Yao Zhu · Xiaojun Jia · Rong Zhang · Hui Xue'
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Poster
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Mon 2:30
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Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?
Rui Wen · Zhengyu Zhao · Zhuoran Liu · Michael Backes · Tianhao Wang · Yang Zhang
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Oral
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Mon 1:20
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Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?
Rui Wen · Zhengyu Zhao · Zhuoran Liu · Michael Backes · Tianhao Wang · Yang Zhang
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Poster
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Tue 2:30
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Holistic Adversarially Robust Pruning
Qi Zhao · Christian Wressnegger
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Poster
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Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
Wenlin Chen · Austin Tripp · José Miguel Hernández Lobato
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