Krishna Chaitanya
6 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(4)
Deep Learning
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Analysis
(1)
Applications
(1)
Architectures
(1)
Core AI
(1)
Core Methods
(1)
Domain-Specific
(1)
Learning Paradigms
(1)
Learning Types
(1)
Keywords
deep reinforcement learning
(1)
representation learning
(1)
contrastive learning
(1)
semi-supervised learning
(1)
image generation
(1)
argument mining
(1)
self-supervised learning
(1)
bert model
(1)
medical image segmentation
(1)
sequence classification
(1)
generative model
(1)
variational autoencoder
(1)
proximal policy optimization
(1)
treatment planning
(1)
clip embedding
(1)
evidence lower bound
(1)
reconstruction loss
(1)
stance classification
(1)
embedding classification
(1)
image persuasiveness
(1)
Papers
MoMIL: Mixture of Multi-Instance Learners for Modeling Multiple Compound Activities in High Content Imaging
MICCAI 2025
Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos
MICCAI 2024
Explicitly Minimizing the Blur Error of Variational Autoencoders
ICLR 2023
Webis @ ImageArg 2023: Embedding-based Stance and Persuasiveness Classification
EMNLP 2023
Automatic planning of liver tumor thermal ablation using deep reinforcement learning
MIDL 2022
Contrastive learning of global and local features for medical image segmentation with limited annotations
NeurIPS 2020