Aritra Dutta
9 papers · 2019–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (30) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint 𧬠Topic Evolution
ποΈ
Keyword Collector
(52)
β
The Questioner
π
Conference Pioneer
π
Renaissance Researcher
(7)
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory Β· Machine Learning
(5)
Computer Vision
(4)
Artificial Intelligence
(2)
Deep Learning
(2)
Natural Language Processing
(2)
Analysis
(2)
Application Areas
(2)
Core AI
(2)
Optimization & Theory Β· Deep Learning
(2)
Computer Science
(1)
Interdisciplinary
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Applications
(1)
Keywords
gradient compression
(3)
distributed deep learning
(2)
communication compression
(2)
distributed training
(2)
gradient sparsification
(2)
domain adaptation
(1)
non-convex optimization
(1)
matrix decomposition
(1)
object detection
(1)
curriculum learning
(1)
visual question answering
(1)
conversational ai
(1)
question answering
(1)
convergence analysis
(1)
semi-supervised learning
(1)
low-rank decomposition
(1)
neural network optimization
(1)
policy gradient
(1)
continuous control
(1)
shadow removal
(1)
Papers
GAEA: A Geolocation Aware Conversational Assistant
WACV 2026
Stabilizing Policy Gradient Methods via Reward Profiling
AAAI 2026
NLKI: A Lightweight Natural Language Knowledge Integration Framework for Improving Small VLMs in Commonsense VQA Tasks
EMNLP 2025
Multiview Aerial Visual RECognition (MAVREC): Can Multi-view Improve Aerial Visual Perception?
CVPR 2024
Towards Multi-modal Transformers in Federated Learning
ECCV 2024
DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning
NeurIPS 2021
Rethinking gradient sparsification as total error minimization
NeurIPS 2021
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning
AAAI 2020
A Nonconvex Projection Method for Robust PCA
AAAI 2019