Mayee Chen
10 papers · 2020–2024 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (25) π₯ Mega-Team Β· Legion
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(9)
Learning Types
(7)
Application Areas
(5)
Artificial Intelligence
(4)
Deep Learning
(3)
Natural Language Processing
(3)
Learning Paradigms
(3)
Core Methods
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Applications
(1)
Architectures
(1)
Core AI
(1)
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
NeurIPS 2024
A case for reframing automated medical image classification as segmentation
NeurIPS 2023
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
NeurIPS 2023
Skill-it! A data-driven skills framework for understanding and training language models
NeurIPS 2023
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
ICML 2022
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
Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation
AISTATS 2021
Mandoline: Model Evaluation under Distribution Shift
ICML 2021
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
ICML 2020