Autoregressive Models: What Are They Good For? - Murtaza Dalal; Alexander C. Li; Rohan Taori (CoRR, 2019)

Sub-policy Adaptation for Hierarchical Reinforcement Learning. - Alexander C. Li; Carlos Florensa; Ignasi Clavera; Pieter Abbeel (ICLR, 2020)

Generalized Hindsight for Reinforcement Learning. - Alexander C. Li; Lerrel Pinto; Pieter Abbeel (NeurIPS, 2020)

Functional Regularization for Reinforcement Learning via Learned Fourier Features. - Alexander C. Li; Deepak Pathak (NeurIPS, 2021)

Internet Curiosity: Directed Unsupervised Learning on Uncurated Internet Data. - Alexander C. Li; Ellis Brown; Alexei A. Efros; Deepak Pathak (ECCV Workshops (4), 2022)

Understanding Collapse in Non-contrastive Siamese Representation Learning. - Alexander C. Li; Alexei A. Efros; Deepak Pathak (ECCV (31), 2022)

Understanding Collapse in Non-Contrastive Learning. - Alexander C. Li; Alexei A. Efros; Deepak Pathak (CoRR, 2022)

Your Diffusion Model is Secretly a Zero-Shot Classifier. - Alexander C. Li; Mihir Prabhudesai; Shivam Duggal; Ellis Brown; Deepak Pathak (ICCV, 2023)

Internet Explorer: Targeted Representation Learning on the Open Web. - Alexander Cong Li; Ellis Langham Brown; Alexei A. Efros; Deepak Pathak (ICML, 2023)

Test-time Adaptation of Discriminative Models via Diffusion Generative Feedback. - Mihir Prabhudesai; Tsung-Wei Ke; Alexander C. Li; Deepak Pathak; Katerina Fragkiadaki (NeurIPS, 2023)

Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback. - Mihir Prabhudesai; Tsung-Wei Ke; Alexander C. Li; Deepak Pathak; Katerina Fragkiadaki (CoRR, 2023)

On the Surprising Effectiveness of Attention Transfer for Vision Transformers. - Alexander C. Li; Yuandong Tian; Beidi Chen; Deepak Pathak; Xinlei Chen (NeurIPS, 2024)

An Introduction to Vision-Language Modeling. - Florian Bordes; Richard Yuanzhe Pang; Anurag Ajay; Alexander C. Li; Adrien Bardes; Suzanne Petryk; Oscar Mañas; Zhiqiu Lin; Anas Mahmoud 002; Bargav Jayaraman; Mark Ibrahim; Melissa Hall; et al. (CoRR, 2024)

Generative Classifiers Avoid Shortcut Solutions. - Alexander Cong Li; Ananya Kumar; Deepak Pathak (ICLR, 2025)