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47 Results
Workshop
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Associative memory via covariance-learning predictive coding networks Mufeng Tang · Tommaso Salvatori · Yuhang Song · Beren Millidge · Thomas Lukasiewicz · Rafal Bogacz |
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Poster
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Wed 14:00 |
Differentially Private Covariance Revisited Wei Dong · Yuting Liang · Ke Yi |
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Poster
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Tue 9:00 |
What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective Huan Wang · Suhas Lohit · Michael Jones · Yun Fu |
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Poster
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Wed 9:00 |
coVariance Neural Networks Saurabh Sihag · Gonzalo Mateos · Corey McMillan · Alejandro Ribeiro |
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Poster
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Tue 14:00 |
JAWS: Auditing Predictive Uncertainty Under Covariate Shift Drew Prinster · Anqi Liu · Suchi Saria |
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Poster
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Wed 9:00 |
Robust Imitation of a Few Demonstrations with a Backwards Model Jung Yeon Park · Lawson Wong |
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Poster
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Thu 14:00 |
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning Mandi Zhao · Pieter Abbeel · Stephen James |
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Poster
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Wed 9:00 |
The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift Jingfeng Wu · Difan Zou · Vladimir Braverman · Quanquan Gu · Sham Kakade |
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Poster
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Wed 14:00 |
Masked Autoencoding for Scalable and Generalizable Decision Making Fangchen Liu · Hao Liu · Aditya Grover · Pieter Abbeel |
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Poster
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Thu 14:00 |
Fairness Transferability Subject to Bounded Distribution Shift Yatong Chen · Reilly Raab · Jialu Wang · Yang Liu |
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Poster
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DropCov: A Simple yet Effective Method for Improving Deep Architectures Qilong Wang · Mingze Gao · Zhaolin Zhang · Jiangtao Xie · Peihua Li · Qinghua Hu |
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Panel
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Wed 9:45 |
Panel 3B-2: Exponential Separations in… & The Neural Covariance… Aaron Zweig · Mihai Nica |