Zachary Chase Lipton
14 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (33) π Conference Polyglot Β· Bronze β‘ Prolific Year Β· Productive π Renaissance Researcher (6)
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Research topics
Machine Learning
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Deep Learning
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(5)
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(4)
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(4)
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Optimization & Theory Β· Machine Learning
(3)
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(2)
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Optimization & Theory Β· Deep Learning
(2)
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Computer Vision
(1)
Healthcare & Medicine
(1)
Keywords
distribution shift
(3)
zero-shot learning
(3)
image classification
(2)
domain generalization
(2)
few-shot learning
(1)
robotic manipulation
(1)
reinforcement learning
(1)
representational power
(1)
causal discovery
(1)
prompt engineering
(1)
document summarization
(1)
visual representation
(1)
feature attribution
(1)
fisher information matrix
(1)
label shift
(1)
curse of dimensionality
(1)
domain adaptation
(1)
graph skeleton
(1)
stochastic gradient descent
(1)
causal inference
(1)
Papers
Towards characterizing the value of edge embeddings in Graph Neural Networks
ICML 2025
Fast Evidence Extraction for Grounded Language Model Outputs
EMNLP 2024
Foundations of Testing for Finite-Sample Causal Discovery
ICML 2024
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?
EMNLP 2024
Time-Varying Propensity Score to Bridge the Gap between the Past and Present
ICLR 2024
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning
ICLR 2024
Can Neural Network Memorization Be Localized?
ICML 2023
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
ICML 2023
Disentangling the Mechanisms Behind Implicit Regularization in SGD
ICLR 2023
Local Causal Discovery for Estimating Causal Effects
CLeaR 2023
Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective
ICML 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift
ICML 2023
Leveraging unlabeled data to predict out-of-distribution performance
ICLR 2022
Explaining the Efficacy of Counterfactually Augmented Data
ICLR 2021