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Datasets and Benchmarks
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RobustBench: a standardized adversarial robustness benchmark Francesco Croce · Maksym Andriushchenko · Vikash Sehwag · Edoardo Debenedetti · Nicolas Flammarion · Mung Chiang · Prateek Mittal · Matthias Hein |
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Datasets and Benchmarks
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Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions Chenyu Yi · SIYUAN YANG · Haoliang Li · Yap-peng Tan · Alex Kot |
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Workshop
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Mon 10:17 |
Invited Talk: Lessons from robust machine learning Aditi Raghunathan |
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Workshop
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Mon 1:12 |
Invited Talk: Generalizability, robustness and fairness in machine learning risk prediction models Rumi Chunara |
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Workshop
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Mon 11:00 |
Increasing Robustness to Distribution Shifts by Improving Design Elizabeth Tipton |
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Workshop
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Mon 16:15 |
Robustness through the Lens of Invariance Chelsea Finn |
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Workshop
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Mon 3:20 |
Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation Agnieszka Słowik · Leon Bottou |
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Poster
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Thu 8:30 |
Robust Allocations with Diversity Constraints Zeyu Shen · Lodewijk Gelauff · Ashish Goel · Aleksandra Korolova · Kamesh Munagala |
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Poster
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Tue 8:30 |
Calibration and Consistency of Adversarial Surrogate Losses Pranjal Awasthi · Natalie Frank · Anqi Mao · Mehryar Mohri · Yutao Zhong |
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Poster
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Thu 16:30 |
BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer Haoping Bai · Meng Cao · Ping Huang · Jiulong Shan |
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Poster
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Thu 8:30 |
Towards optimally abstaining from prediction with OOD test examples Adam Kalai · Varun Kanade |
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Workshop
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Tue 4:55 |
Your Model is Wrong: Robustness and misspecification in probabilistic modeling Diana Cai · Sameer Deshpande · Michael Hughes · Tamara Broderick · Trevor Campbell · Nick Foti · Barbara Engelhardt · Sinead Williamson |