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24 Results
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Poster
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Tue 9:00 |
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag · Mung Chiang · Prateek Mittal |
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Workshop
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Poisoning Deep Reinforcement Learning Agents with In-Distribution Triggers Clayton C Ashcraft |
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Poster
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Wed 9:00 |
Modeling the Second Player in Distributionally Robust Optimization Paul Michel · Tatsunori Hashimoto · Graham Neubig |
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Poster
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Mon 9:00 |
The Risks of Invariant Risk Minimization Elan Rosenfeld · Pradeep K Ravikumar · Andrej Risteski |
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Poster
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Tue 1:00 |
Multiscale Score Matching for Out-of-Distribution Detection Ahsan Mahmood · Junier Oliva · Martin A Styner |
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Workshop
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Fri 8:30 |
Workshop on Distributed and Private Machine Learning Fatemehsadat Mireshghallah · Praneeth Vepakomma · Ayush Chopra · Vivek Sharma · Abhishek Singh · Adam Smith · Ramesh Raskar · Gautam Kamath · Reza Shokri |
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Poster
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Mon 1:00 |
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization Sitan Chen · Xiaoxiao Li · Zhao Song · Danyang Zhuo |
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Oral
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Mon 11:00 |
Federated Learning Based on Dynamic Regularization Durmus Alp Emre Acar · Yue Zhao · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama |
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Poster
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Mon 17:00 |
Federated Learning Based on Dynamic Regularization Durmus Alp Emre Acar · Yue Zhao · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama |
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Oral
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Mon 3:15 |
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang · Lu Liu · Min Xu |
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Poster
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Thu 1:00 |
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang · Lu Liu · Min Xu |
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Poster
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Thu 9:00 |
Meta-Learning of Structured Task Distributions in Humans and Machines Sreejan Kumar · Ishita Dasgupta · Jonathan Cohen · Nathaniel Daw · Thomas L Griffiths |