Aditya Balu
7 papers · 2017–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π Academic Marathon (8) π£ Hot Topic Early Bird π Cross-Pollinator (15) π Renaissance Researcher (6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(25)
π§
Keyword Pioneer
π±
Topic Pioneer
π
Trend Setter
Conferences
NIPS (3)
AAAI (1)
CVPR (1)
ICML (1)
WACV (1)
Top co-authors
Research topics
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
NIPS 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
NIPS 2021
Collaborative Deep Learning in Fixed Topology Networks
NIPS 2017