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