Alexander C. Li

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Deepak PathakAssistant Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Pieter AbbeelUC Berkeley | CovariantVerified email at cs.berkeley.edu
Ellis BrownPhD, New York UniversityVerified email at nyu.edu
Alexei A. EfrosUC BerkeleyVerified email at eecs.berkeley.edu
Shivam DuggalCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Carlos FlorensaPhD from University of California at BerkeleyVerified email at berkeley.edu
Ignasi ClaveraResearch Scientist, Covariant.aiVerified email at berkeley.edu
Lerrel PintoNew York UniversityVerified email at cs.nyu.edu
Katerina FragkiadakiAssociate Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Tsung-Wei KeCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Rohan TaoriCS PhD @ StanfordVerified email at stanford.edu
Murtaza DalalPhD Student at CMUVerified email at andrew.cmu.edu
Patrick ChaoUniversity of PennsylvaniaVerified email at wharton.upenn.edu
Gokul SwamyPhD Candidate, Carnegie Mellon UniversityVerified email at andrew.cmu.edu

Alexander C. Li

PhD student, Carnegie Mellon University

Verified email at cmu.edu - Homepage

Machine Learning Self-supervised Learning Generative Models Reinforcement Learning


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Your diffusion model is secretly a zero-shot classifier AC Li, M Prabhudesai, S Duggal, E Brown, D Pathak Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	110	2023
Sub-policy adaptation for hierarchical reinforcement learning AC Li, C Florensa, I Clavera, P Abbeel arXiv preprint arXiv:1906.05862, 2019	90	2019
Generalized hindsight for reinforcement learning A Li, L Pinto, P Abbeel Advances in neural information processing systems 33, 7754-7767, 2020	77	2020
Understanding collapse in non-contrastive siamese representation learning AC Li, AA Efros, D Pathak European Conference on Computer Vision, 490-505, 2022	26	2022
Internet explorer: Targeted representation learning on the open web AC Li, EL Brown, AA Efros, D Pathak International Conference on Machine Learning, 19385-19406, 2023	18	2023
Autoregressive models: What are they good for? M Dalal, AC Li, R Taori arXiv preprint arXiv:1910.07737, 2019	13	2019
Functional regularization for reinforcement learning via learned fourier features A Li, D Pathak Advances in Neural Information Processing Systems 34, 19046-19055, 2021	12	2021
Sunspot rotation and the M-class flare in solar active region NOAA 11158 A Li, Y Liu Solar Physics 290, 2199-2209, 2015	11	2015
Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback M Prabhudesai, TW Ke, AC Li, D Pathak, K Fragkiadaki Thirty-seventh Conference on Neural Information Processing Systems, 2023	9*	2023
An Introduction to Vision-Language Modeling F Bordes, RY Pang, A Ajay, AC Li, A Bardes, S Petryk, O Mañas, Z Lin, ... arXiv preprint arXiv:2405.17247, 2024	4	2024
Generative models for pose transfer P Chao, A Li, G Swamy arXiv preprint arXiv:1806.09070, 2018	3	2018
Algorithms for Multi-task Reinforcement Learning A Li, P Abbeel		2020
Generative Classifiers Avoid Shortcut Solutions AC Li, A Kumar, D Pathak ICML 2024 Workshop on Structured Probabilistic Inference {\&} Generative …, 0

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