Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks Shuoguang Yang, Xuezhou Zhang, Mengdi Wang.

Offline Multi-Agent Reinforcement Learning with Knowledge Distillation Wei-Cheng Tseng, Tsun-Hsuan Johnson Wang, Yen-Chen Lin, Phillip Isola.

On Sample Optimality in Personalized Collaborative and Federated Learning Mathieu Even, Laurent Massoulié, Kevin Scaman.

SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery Yezhen Cong, Samar Khanna, Chenlin Meng, Patrick Liu, Erik Rozi, Yutong He, Marshall Burke, David Lobell, Stefano Ermon.

Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits Ruibo Liu, Chenyan Jia, Ge Zhang, Ziyu Zhuang, Tony Liu, Soroush Vosoughi.

Correa, Ishita Dasgupta, Raja Marjieh, Michael Y Hu, Robert Hawkins, Jonathan D Cohen, nathaniel daw, Karthik Narasimhan, Tom Griffiths

Using natural language and program abstractions to instill human inductive biases in machines Sreejan Kumar, Carlos G.

IM-Loss: Information Maximization Loss for Spiking Neural Networks Yufei Guo, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Yinglei Wang, Xuhui Huang, Zhe Ma.

Active Learning with Neural Networks: Insights from Nonparametric Statistics Yinglun Zhu, Robert Nowak.

Zero-Shot Video Question Answering via Frozen Bidirectional Language Models Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid.

Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang.

Mueller, Kavosh Asadi, Taesup Kim, Alexander J.

Adaptive Interest for Emphatic Reinforcement Learning Martin Klissarov, Rasool Fakoor, Jonas W.

What You See is What You Classify: Black Box Attributions Steven Stalder, Nathanael Perraudin, Radhakrishna Achanta, Fernando Perez-Cruz, Michele Volpi.

Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement Cian Naik, Judith Rousseau, Trevor Campbell.

NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search Yijian Qin, Ziwei Zhang, Xin Wang, Zeyang Zhang, Wenwu Zhu.

Structured Recognition for Generative Models with Explaining Away Changmin Yu, Hugo Soulat, Neil Burgess, Maneesh Sahani.

Geometric Order Learning for Rank Estimation Seon-Ho Lee, Nyeong Ho Shin, Chang-Su Kim.

On Kernelized Multi-Armed Bandits with Constraints Xingyu Zhou, Bo Ji.

Federated Submodel Optimization for Hot and Cold Data Features Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, yanghe feng, Guihai Chen.

Main Conference Track Datasets and Benchmarks Track

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