Jing, Li

7 publications

TMLR 2023 VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment Shraman Pramanick, Li Jing, Sayan Nag, Jiachen Zhu, Hardik J Shah, Yann LeCun, Rama Chellappa

ICLR 2022 Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic

ICLR 2022 Understanding Dimensional Collapse in Contrastive Self-Supervised Learning Li Jing, Pascal Vincent, Yann LeCun, Yuandong Tian

ICML 2021 Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, Stephane Deny

AAAI 2021 We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale Rumen Dangovski, Michelle Shen, Dawson Byrd, Li Jing, Desislava Tsvetkova, Preslav Nakov, Marin Soljacic

NeurIPS 2020 Implicit Rank-Minimizing Autoencoder Li Jing, Jure Zbontar, Yann Lecun

ICML 2017 Tunable Efficient Unitary Neural Networks (EUNN) and Their Application to RNNs Li Jing, Yichen Shen, Tena Dubcek, John Peurifoy, Scott Skirlo, Yann LeCun, Max Tegmark, Marin Soljačić