Rohan Sharma
6 papers · 2023–2025 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(19)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Learning Types · Machine Learning
(4)
Artificial Intelligence
(2)
Deep Learning
(2)
Core AI
(2)
Healthcare & Medicine
(1)
Natural Language Processing
(1)
Application Areas
(1)
Applications
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Generation
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Keywords
contrastive learning
(3)
multi-task learning
(1)
few-shot learning
(1)
domain generalization
(1)
noisy label learning
(1)
bayesian modeling
(1)
maximum mean discrepancy
(1)
generative model
(1)
diffusion model
(1)
cross-modal alignment
(1)
property prediction
(1)
molecular representation
(1)
prompt tuning
(1)
molecular property prediction
(1)
probability contrastive learning
(1)
molecular representation learning
(1)
graph augmentation
(1)
auc maximization
(1)
multimodal embedding
(1)
table-to-text generation
(1)
Papers
Cross-Modal Feature Alignment and MMD Improve Robustness of Prompt Tuning
WACV 2025
DETQUS: Decomposition-Enhanced Transformers for QUery-focused Summarization
NAACL 2025
Multi-Modal Multi-Task Unified Embedding Model (M3T-UEM): A Task-Adaptive Representation Learning Framework
ICCV 2025
A probability contrastive learning framework for 3D molecular representation learning
NeurIPS 2024
AUC-CL: A Batchsize-Robust Framework for Self-Supervised Contrastive Representation Learning
ICLR 2024
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels
NeurIPS 2023