Vaibhav Rajan
11 papers · 2016–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (26) π Academic Marathon Β· Half π Grand Slam
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Keyword Collector
(52)
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Conference Pioneer
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Renaissance Researcher
(6)
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Century Club Β· Bronze
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Research topics
Machine Learning
(8)
Deep Learning
(7)
Architectures
(4)
Core Methods
(4)
Learning Types Β· Machine Learning
(4)
Artificial Intelligence
(2)
Computer Vision
(2)
Interdisciplinary
(2)
Mathematics & Optimization
(2)
Application Areas
(2)
Domain-Specific
(2)
Learning Types Β· Deep Learning
(2)
Optimization
(2)
Optimization & Theory
(2)
Data Science & Analytics
(1)
Keywords
representation learning
(3)
graph neural network
(2)
metagenomic binning
(2)
neural network
(2)
drug response prediction
(2)
graph representation learning
(2)
latent dirichlet allocation
(1)
domain adaptation
(1)
semantic segmentation
(1)
data augmentation
(1)
extractive summarization
(1)
text summarization
(1)
supervised learning
(1)
cross-modal retrieval
(1)
graph coloring
(1)
transfer learning
(1)
gradient descent
(1)
remote sensing
(1)
self-supervised learning
(1)
weak supervision
(1)
Papers
Segmentation-Aware Latent Diffusion for Satellite Image Super-Resolution: Enabling Smallholder Farm Boundary Delineation
WACV 2026
X-JEPA: A Novel Joint Learning Cross-Modal Predictive Alignment Framework for Remote Sensing Image Retrieval
WACV 2026
GANDALF: Generative AttentioN based Data Augmentation and predictive modeLing Framework for personalized cancer treatment
ICLR 2025
Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning
ICLR 2024
WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer
ICML 2024
Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction
NeurIPS 2022
RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning
AAAI 2022
Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization
ICML 2020
Inferring Concept Prerequisite Relations from Online Educational Resources
AAAI 2019
Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer Networks
ACL 2018
Dependency Clustering of Mixed Data with Gaussian Mixture Copulas
IJCAI 2016