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223 Results
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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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Poster
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Wed 17:00 |
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness Sang Michael Xie · Ananya Kumar · Robbie Jones · Fereshte Khani · Tengyu Ma · Percy Liang |
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Poster
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Tue 17:00 |
A Temporal Kernel Approach for Deep Learning with Continuous-time Information Da Xu · Chuanwei Ruan · evren korpeoglu · Sushant Kumar · kannan achan |
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Poster
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Wed 1:00 |
Byzantine-Resilient Non-Convex Stochastic Gradient Descent Zeyuan Allen-Zhu · Faeze Ebrahimianghazani · Jerry Li · Dan Alistarh |
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Spotlight
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Wed 19:35 |
Emergent Symbols through Binding in External Memory Taylor Webb · Ishan Sinha · Jonathan Cohen |
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Poster
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Wed 17:00 |
Emergent Symbols through Binding in External Memory Taylor Webb · Ishan Sinha · Jonathan Cohen |
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Spotlight
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Thu 21:28 |
Distributional Sliced-Wasserstein and Applications to Generative Modeling Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui |
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Poster
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Thu 17:00 |
Distributional Sliced-Wasserstein and Applications to Generative Modeling Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui |
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Poster
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Thu 17:00 |
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors Ali Harakeh · Steven L Waslander |
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Poster
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Wed 1:00 |
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein Khai Nguyen · Son Nguyen · Nhat Ho · Tung Pham · Hung Bui |
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Poster
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Wed 1:00 |
Removing Undesirable Feature Contributions Using Out-of-Distribution Data Saehyung Lee · Changhwa Park · Hyungyu Lee · Jihun Yi · Jonghyun Lee · Sungroh Yoon |
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Poster
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Mon 9:00 |
Understanding the failure modes of out-of-distribution generalization Vaishnavh Nagarajan · Anders J Andreassen · Behnam Neyshabur |