Jeff Z. HaoChen
9 papers · 2021–2023 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (20) π§ Keyword Pioneer π Cross-Pollinator (15)
π
Triple Crown
Conferences
ICLR (3)
NIPS (3)
ACL (1)
COLT (1)
ICML (1)
Top co-authors
Keywords
contrastive learning
(3)
representation learning
(3)
unsupervised domain adaptation
(2)
feature learning
(1)
domain adaptation
(1)
self-supervised learning
(1)
question answering
(1)
feature disentanglement
(1)
label noise
(1)
spectral decomposition
(1)
learning rate
(1)
implicit regularization
(1)
language model
(1)
proximal point method
(1)
inverse scaling
(1)
neural network optimizer
(1)
noise covariance
(1)
negation understanding
(1)
large language model
(1)
contrastive representation
(1)
Papers
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models
ACL 2023
Diagnosing and Rectifying Vision Models using Language
ICLR 2023
A theoretical study of inductive biases in contrastive learning
ICLR 2023
Self-supervised Learning is More Robust to Dataset Imbalance
ICLR 2022
Amortized Proximal Optimization
NIPS 2022
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation
ICML 2022
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations
NIPS 2022
Shape Matters: Understanding the Implicit Bias of the Noise Covariance
COLT 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
NIPS 2021