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Haochen Zhang
Haochen Zhang
Sonstige NamenJeff Z. HaoChen
PhD Student, Stanford University
Bestätigte E-Mail-Adresse bei stanford.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
3122021
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
1712021
Random Shuffling Beats SGD after Finite Epochs
JZ HaoChen, S Sra
International Conference on Machine Learning (ICML) 2019, 2019
1242019
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
1062021
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
1042022
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
402023
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
402022
A Theoretical Study of Inductive Biases in Contrastive Learning
JZ HaoChen, T Ma
International Conference on Learning Representations (ICLR) 2023, 2022
342022
Amortized Proximal Optimization
J Bae, P Vicol, JZ HaoChen, R Grosse
Conference on Neural Information Processing Systems (NeurIPS) 2022, 2022
172022
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
122023
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
82022
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
72023
Meta-learning Transferable Representations with a Single Target Domain
H Liu, JZ HaoChen, C Wei, T Ma
arXiv preprint arXiv:2011.01418, 2020
72020
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
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