Alexander C. Li

According to our database, Alexander C. Li authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Test-time Adaptation of Discriminative Models via Diffusion Generative Feedback.

Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Internet Explorer: Targeted Representation Learning on the Open Web.

Alexander Cong Li, Ellis Langham Brown, Alexei A. Efros, Deepak Pathak

Proceedings of the International Conference on Machine Learning, 2023

Your Diffusion Model is Secretly a Zero-Shot Classifier.

Alexander C. Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Understanding Collapse in Non-Contrastive Learning.

Alexander C. Li, Alexei A. Efros, Deepak Pathak

CoRR, 2022

Understanding Collapse in Non-contrastive Siamese Representation Learning.

Alexander C. Li, Alexei A. Efros, Deepak Pathak

Proceedings of the Computer Vision - ECCV 2022, 2022

Internet Curiosity: Directed Unsupervised Learning on Uncurated Internet Data.

Alexander C. Li, Ellis Brown, Alexei A. Efros, Deepak Pathak

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Functional Regularization for Reinforcement Learning via Learned Fourier Features.

Alexander C. Li, Deepak Pathak

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Generalized Hindsight for Reinforcement Learning.

Alexander C. Li, Lerrel Pinto, Pieter Abbeel

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sub-policy Adaptation for Hierarchical Reinforcement Learning.

Alexander C. Li, Carlos Florensa, Ignasi Clavera, Pieter Abbeel

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Autoregressive Models: What Are They Good For?

Murtaza Dalal, Alexander C. Li, Rohan Taori

CoRR, 2019