Aditya Balu
7 papers · 2017–2025 · 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 (24) 🐣 Hot Topic Early Bird
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Trend Setter
Venues
Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(5)
Optimization & Theory · Machine Learning
(5)
Learning Types · Deep Learning
(3)
Optimization & Theory · Deep Learning
(3)
Artificial Intelligence
(2)
Architectures
(2)
Core AI
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Paradigms · Machine Learning
(2)
Learning Types · Machine Learning
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Keywords
decentralized learning
(2)
distributed training
(2)
federated learning
(2)
continual learning
(1)
image segmentation
(1)
few-shot learning
(1)
zero-shot learning
(1)
gradient-based optimization
(1)
in-context learning
(1)
multimodal learning
(1)
sample complexity
(1)
distributed learning
(1)
model merging
(1)
model aggregation
(1)
neural network optimization
(1)
deep learning
(1)
automatic differentiation
(1)
gradient descent
(1)
variance reduction
(1)
policy gradient
(1)
Papers
Leveraging Vision Language Models for Specialized Agricultural Tasks
WACV 2025
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models
CVPR 2024
Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing
NeurIPS 2024
MDPGT: Momentum-Based Decentralized Policy Gradient Tracking
AAAI 2022
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data
ICML 2021
Differentiable Spline Approximations
NeurIPS 2021
Collaborative Deep Learning in Fixed Topology Networks
NeurIPS 2017