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Workshop
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Understanding Post-hoc Adaptation for Improving Subgroup Robustness David Madras · Richard Zemel |
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Workshop
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A fine-grained analysis of robustness to distribution shifts Olivia Wiles · Sven Gowal · Florian Stimberg · Sylvestre-Alvise Rebuffi · Ira Ktena · Krishnamurthy Dvijotham · Taylan Cemgil |
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Workshop
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Mon 6:10 |
Fairness for Robust Learning to Rank Omid Memarrast · Ashkan Rezaei · Rizal Fathony · Brian Ziebart |
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Workshop
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Sharpness-Aware Minimization for Robust Molecular Dynamics Simulations Hikaru Ibayashi · Ken-ichi Nomura · Pankaj Rajak · Aravind Krishnamoorthy · Aiichiro Nakano |
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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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Affinity Workshop
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Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation Hanjie Chen · Yangfeng Ji |
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Workshop
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Efficiently Improving the Robustness of RL Agents against Strongest Adversaries Yongyuan Liang · Yanchao Sun · Ruijie Zheng · Furong Huang |
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Workshop
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Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning Shubham Jain · Ana-Maria Cretu · Yves-Alexandre Montjoye |
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Poster
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Tue 8:30 |
Improving Robustness using Generated Data Sven Gowal · Sylvestre-Alvise Rebuffi · Olivia Wiles · Florian Stimberg · Dan Andrei Calian · Timothy A Mann |
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Workshop
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Tue 9:06 |
[S6] Defuse: Training More Robust Models through Creation and Correction of Novel Model Errors Dylan Slack · Krishnaram Kenthapadi |
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Workshop
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Tue 9:00 |
[S4] A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines Vadim Borisov · Johannes Meier · Johan Van den Heuvel · Hamed Jalali · Gjergji Kasneci |
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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 |