Vivek Natarajan
4 papers · 2019–2022 · 4 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 ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
👥
Mega-Team · Squad
Venues
Top co-authors
Research topics
Machine Learning
(3)
Application Areas
(3)
Computer Vision
(2)
Artificial Intelligence
(1)
Deep Learning
(1)
Natural Language Processing
(1)
Applications · Natural Language Processing
(1)
Applications · Computer Vision
(1)
Architectures
(1)
Core AI · Artificial Intelligence
(1)
Core AI · Computer Vision
(1)
Domain-Specific
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Keywords
distribution shift
(2)
domain generalization
(2)
domain adaptation
(1)
scene understanding
(1)
visual question answering
(1)
self-supervised learning
(1)
multimodal learning
(1)
reading comprehension
(1)
medical image classification
(1)
conditional independence
(1)
model deployment
(1)
multimodal reasoning
(1)
optical character recognition
(1)
text recognition
(1)
machine learning theory
(1)
causal inference
(1)
fairness transfer
(1)
contrastive learning
(1)
Papers
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings
NeurIPS 2022
Underspecification Presents Challenges for Credibility in Modern Machine Learning
JMLR 2022
Big Self-Supervised Models Advance Medical Image Classification
ICCV 2021
Towards VQA Models That Can Read
CVPR 2019