Mayee Chen
10 papers · 2020–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (25) π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Renaissance Researcher
(6)
π
Interdisciplinary Bridge
π₯
Mega-Team
(60)
π₯
Unstoppable
(5)
π
Century Club
(10)
Conferences
NIPS (4)
ICML (3)
ACL (1)
AISTATS (1)
MLHC (1)
Top co-authors
Keywords
language model
(3)
latent variable model
(2)
weak supervision
(2)
semi-supervised learning
(2)
domain generalization
(2)
contrastive learning
(2)
medical image segmentation
(1)
supervised contrastive learning
(1)
prompt-based learning
(1)
language model training
(1)
model evaluation
(1)
sample efficiency
(1)
model misspecification
(1)
instruction tuning
(1)
medical image classification
(1)
domain adaptation
(1)
importance weighting
(1)
distribution shift
(1)
knowledge graph
(1)
stochastic gradient descent
(1)
Papers
DataComp-LM: In search of the next generation of training sets for language models
NIPS 2024
A case for reframing automated medical image classification as segmentation
NIPS 2023
Skill-it! A data-driven skills framework for understanding and training language models
NIPS 2023
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
NIPS 2023
Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity
MLHC 2022
TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval
ACL 2022
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
ICML 2022
Mandoline: Model Evaluation under Distribution Shift
ICML 2021
Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation
AISTATS 2021
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
ICML 2020