Jeff Z. HaoChen
Publications by Year
Research Areas
Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Stochastic Gradient Optimization Techniques, Machine Learning and ELM, Topic Modeling
Most-Cited Works
- → Self-supervised Learning is More Robust to Dataset Imbalance(2021)63 cited
- → Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss(2021)36 cited
- → Shape Matters: Understanding the Implicit Bias of the Noise Covariance(2020)19 cited
- → Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation(2022)19 cited
- → Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models(2023)5 cited
- → A Theoretical Study of Inductive Biases in Contrastive Learning(2022)2 cited
- → Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations(2022)2 cited
- → Amortized Proximal Optimization(2022)2 cited