Alexander C. Li

19 papers A* 6Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Generative Classifiers Avoid Shortcut Solutions. CoRR Alexander C. Li, Ananya Kumar, Deepak Pathak
2024	J	`jnl`	An Introduction to Vision-Language Modeling. CoRR Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra
2024	A*	`conf`	On the Surprising Effectiveness of Attention Transfer for Vision Transformers. NeurIPS Alexander C. Li, Yuandong Tian, Beidi Chen, Deepak Pathak, Xinlei Chen
2024	J	`jnl`	On the Surprising Effectiveness of Attention Transfer for Vision Transformers. CoRR Alexander C. Li, Yuandong Tian, Beidi Chen, Deepak Pathak, Xinlei Chen
2023	J	`jnl`	Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback. CoRR Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki
2023	J	`jnl`	Internet Explorer: Targeted Representation Learning on the Open Web. CoRR Alexander C. Li, Ellis Brown, Alexei A. Efros, Deepak Pathak
2023	A*	`conf`	Test-time Adaptation of Discriminative Models via Diffusion Generative Feedback. NeurIPS Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki
2023	A*	`conf`	Your Diffusion Model is Secretly a Zero-Shot Classifier. ICCV Alexander C. Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak
2023	J	`jnl`	Your Diffusion Model is Secretly a Zero-Shot Classifier. CoRR Alexander C. Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak
2022	—	`conf`	Internet Curiosity: Directed Unsupervised Learning on Uncurated Internet Data. ECCV Workshops (4) Alexander C. Li, Ellis Brown, Alexei A. Efros, Deepak Pathak
2022	J	`jnl`	Understanding Collapse in Non-Contrastive Learning. CoRR Alexander C. Li, Alexei A. Efros, Deepak Pathak
2022	—	`conf`	Understanding Collapse in Non-contrastive Siamese Representation Learning. ECCV (31) Alexander C. Li, Alexei A. Efros, Deepak Pathak
2021	A*	`conf`	Functional Regularization for Reinforcement Learning via Learned Fourier Features. NeurIPS Alexander C. Li, Deepak Pathak
2021	J	`jnl`	Functional Regularization for Reinforcement Learning via Learned Fourier Features. CoRR Alexander C. Li, Deepak Pathak
2020	A*	`conf`	Generalized Hindsight for Reinforcement Learning. NeurIPS Alexander C. Li, Lerrel Pinto, Pieter Abbeel
2020	J	`jnl`	Generalized Hindsight for Reinforcement Learning. CoRR Alexander C. Li, Lerrel Pinto, Pieter Abbeel
2020	A*	`conf`	Sub-policy Adaptation for Hierarchical Reinforcement Learning. ICLR Alexander C. Li, Carlos Florensa, Ignasi Clavera, Pieter Abbeel
2019	J	`jnl`	Autoregressive Models: What Are They Good For? CoRR Murtaza Dalal, Alexander C. Li, Rohan Taori
2019	J	`jnl`	Sub-policy Adaptation for Hierarchical Reinforcement Learning. CoRR Alexander C. Li, Carlos Florensa, Ignasi Clavera, Pieter Abbeel