| Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss JZ HaoChen, C Wei, A Gaidon, T Ma Conference on Neural Information Processing Systems (NeurIPS) 2021, 2021 | 239 | 2021 |
| Self-supervised Learning is More Robust to Dataset Imbalance H Liu, JZ HaoChen, A Gaidon, T Ma International Conference on Learning Representations (ICLR) 2022, 2021 | 132 | 2021 |
| Random Shuffling Beats SGD after Finite Epochs JZ HaoChen, S Sra International Conference on Machine Learning (ICML) 2019, 2019 | 105 | 2019 |
| Shape Matters: Understanding the Implicit Bias of the Noise Covariance JZ HaoChen, C Wei, J Lee, T Ma Conference on Learning Theory (COLT) 2021, 2021 | 82 | 2021 |
| Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation K Shen, R Jones, A Kumar, SM Xie, JZ HaoChen, T Ma, P Liang International Conference on Machine Learning (ICML) 2022, 2022 | 80 | 2022 |
| Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations JZ HaoChen, C Wei, A Kumar, T Ma Conference on Neural Information Processing Systems (NeurIPS) 2022, 2022 | 34 | 2022 |
| Diagnosing and rectifying vision models using language Y Zhang, JZ HaoChen, SC Huang, KC Wang, J Zou, S Yeung arXiv preprint arXiv:2302.04269, 2023 | 27 | 2023 |
| A Theoretical Study of Inductive Biases in Contrastive Learning JZ HaoChen, T Ma International Conference on Learning Representations (ICLR) 2023, 2022 | 22* | 2022 |
| Amortized Proximal Optimization J Bae, P Vicol, JZ HaoChen, R Grosse Conference on Neural Information Processing Systems (NeurIPS) 2022, 2022 | 11 | 2022 |
| Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time A Mahankali, JZ HaoChen, K Dong, M Glasgow, T Ma Conference on Neural Information Processing Systems (NeurIPS) 2023, 2023 | 7 | 2023 |
| Meta-learning Transferable Representations with a Single Target Domain H Liu, JZ HaoChen, C Wei, T Ma arXiv preprint arXiv:2011.01418, 2020 | 7 | 2020 |
| DrML: Diagnosing and Rectifying Vision Models using Language Y Zhang, JZ HaoChen, SC Huang, KC Wang, J Zou, S Yeung International Conference on Learning Representations (ICLR) 2023, 2022 | 4 | 2022 |
| Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models Y Zhang, M Yasunaga, Z Zhou, JZ HaoChen, J Zou, P Liang, S Yeung Annual Meeting of the Association for Computational Linguistics (ACL) 2023, 2023 | 3 | 2023 |
| Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss JZ HaoChen, C Wei, AD Gaidon, T MA US Patent App. 17/714,848, 2023 | | 2023 |
Tengyu MAStanford UniversityVerified email at stanford.edu
