Aritra Dutta

50 papers A* 6A 2Misc 1Journal 33Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accurate Split Learning on Noisy Signals.
Trans. Mach. Learn. Res.
Hang Xu, Subhajit Maity, Aritra Dutta, Xin Li, Panos Kalnis
2026 J jnl
FinTradeBench: A Financial Reasoning Benchmark for LLMs.
CoRR
Yogesh Agrawal, Aniruddha Dutta, Md Mahadi Hasan, Santu Karmaker, Aritra Dutta
2026 A* conf
Stabilizing Policy Gradient Methods via Reward Profiling.
AAAI
Shihab Ahmed, El Houcine Bergou, Yue Wang, Aritra Dutta
2025 J jnl
GAEA: A Geolocation Aware Conversational Model.
CoRR
Ron Campos, Ashmal Vayani, Parth Parag Kulkarni, Rohit Gupta, Aritra Dutta, Mubarak Shah
2025 J jnl
Intelligent Image Sensing for Crime Analysis: A ML Approach towards Enhanced Violence Detection and Investigation.
CoRR
Aritra Dutta, Pushpita Boral, G. Suseela
2025 J jnl
Kolmogorov-Arnold Attention: Is Learnable Attention Better For Vision Transformers?
CoRR
Subhajit Maity, Killian Hitsman, Xin Li, Aritra Dutta
2025 — conf
NLKI: A Lightweight Natural Language Knowledge Integration Framework for Improving Small VLMs in Commonsense VQA Tasks.
EMNLP (Findings)
Aritra Dutta, Swapnanil Mukherjee, Deepanway Ghosal, Somak Aditya
2025 J jnl
NLKI: A lightweight Natural Language Knowledge Integration Framework for Improving Small VLMs in Commonsense VQA Tasks.
CoRR
Aritra Dutta, Swapnanil Mukherjee, Deepanway Ghosal, Somak Aditya
2025 J jnl
Stabilizing Policy Gradient Methods via Reward Profiling.
CoRR
Shihab Ahmed, El Houcine Bergou, Aritra Dutta, Yue Wang
2025 J jnl
Where Have All the Kaczmarz Iterates Gone?
CoRR
El Houcine Bergou, Soumia Boucherouite, Aritra Dutta, Xin Li, Anna Ma
2024 J jnl
A Note on the Randomized Kaczmarz Algorithm for Solving Doubly Noisy Linear Systems.
SIAM J. Matrix Anal. Appl.
El Houcine Bergou, Soumia Boucherouite, Aritra Dutta, Xin Li, Anna Ma
2024 J jnl
Fibottention: Inceptive Visual Representation Learning with Diverse Attention Across Heads.
CoRR
Ali Khaleghi Rahimian, Manish Kumar Govind, Subhajit Maity, Dominick Reilly, Christian Kümmerle, Srijan Das, Aritra Dutta
2024 A* conf
Multiview Aerial Visual Recognition (MAVREC): Can Multi-View Improve Aerial Visual Perception?
CVPR
Aritra Dutta, Srijan Das, Jacob Nielsen, Rajatsubhra Chakraborty, Mubarak Shah
2024 — conf
Towards Multi-modal Transformers in Federated Learning.
ECCV (15)
Guangyu Sun, Matías Mendieta, Aritra Dutta, Xin Li, Chen Chen
2024 J jnl
Towards Multi-modal Transformers in Federated Learning.
CoRR
Guangyu Sun, Matías Mendieta, Aritra Dutta, Xin Li, Chen Chen
2023 J jnl
A Note on Randomized Kaczmarz Algorithm for Solving Doubly-Noisy Linear Systems.
CoRR
El Houcine Bergou, Soumia Boucherouite, Aritra Dutta, Xin Li, Anna Ma
2023 J jnl
Demystifying the Myths and Legends of Nonconvex Convergence of SGD.
CoRR
Aritra Dutta, El Houcine Bergou, Soumia Boucherouite, Nicklas Werge, Melih Kandemir, Xin Li
2023 J jnl
Homotopy Continuation Method for Discounted Zero-Sum Stochastic Game with ARAT Structure.
IGTR
Aritra Dutta, A. K. Das
2023 J jnl
Multiview Aerial Visual Recognition (MAVREC): Can Multi-view Improve Aerial Visual Perception?
CoRR
Aritra Dutta, Srijan Das, Jacob Nielsen, Rajatsubhra Chakraborty, Mubarak Shah
2023 J jnl
Personalized Federated Learning with Communication Compression.
Trans. Mach. Learn. Res.
El Houcine Bergou, Konstantin Burlachenko, Aritra Dutta, Peter Richtárik
2023 J jnl
Robust Multi-Modal Image Stitching for Improved Scene Understanding.
CoRR
Aritra Dutta, G. Suseela, Asmita Sood
2022 J jnl
Direct nonlinear acceleration.
EURO J. Comput. Optim.
Aritra Dutta, El Houcine Bergou, Yunming Xiao, Marco Canini, Peter Richtárik
2022 J jnl
Personalized Federated Learning with Communication Compression.
CoRR
El Houcine Bergou, Konstantin Burlachenko, Aritra Dutta, Peter Richtárik
2021 J jnl
DeepReduce: A Sparse-tensor Communication Framework for Distributed Deep Learning.
CoRR
Kelly Kostopoulou, Hang Xu, Aritra Dutta, Xin Li, Alexandros Ntoulas, Panos Kalnis
2021 A* conf
DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning.
NeurIPS
Hang Xu, Kelly Kostopoulou, Aritra Dutta, Xin Li, Alexandros Ntoulas, Panos Kalnis
2021 A conf
GRACE: A Compressed Communication Framework for Distributed Machine Learning.
ICDCS
Hang Xu, Chen-Yu Ho, Ahmed M. Abdelmoniem, Aritra Dutta, El Houcine Bergou, Konstantinos Karatsenidis, Marco Canini, Panos Kalnis
2021 — conf
On Column Competent Matrices and Linear Complementarity Problem.
ICMC
Aritra Dutta, Rwitam Jana, Arup Kumar Das
2021 A* conf
Rethinking gradient sparsification as total error minimization.
NeurIPS
Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis
2021 J jnl
Rethinking gradient sparsification as total error minimization.
CoRR
Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis
2020 J jnl
Best Pair Formulation & Accelerated Scheme for Non-Convex Principal Component Pursuit.
IEEE Trans. Signal Process.
Aritra Dutta, Filip Hanzely, Jingwei Liang, Peter Richtárik
2020 — conf
Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning.
DistributedML@CoNEXT
Rishikesh R. Gajjala, Shashwat Banchhor, Ahmed M. Abdelmoniem, Aritra Dutta, Marco Canini, Panos Kalnis
2020 J jnl
On the Convergence Analysis of Asynchronous SGD for Solving Consistent Linear Systems.
CoRR
Atal Narayan Sahu, Aritra Dutta, Aashutosh Tiwari, Peter Richtárik
2020 A* conf
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning.
AAAI
Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis
2019 A* conf
A Nonconvex Projection Method for Robust PCA.
AAAI
Aritra Dutta, Filip Hanzely, Peter Richtárik
2019 J jnl
Best Pair Formulation & Accelerated Scheme for Non-convex Principal Component Pursuit.
CoRR
Aritra Dutta, Filip Hanzely, Jingwei Liang, Peter Richtárik
2019 J jnl
Direct Nonlinear Acceleration.
CoRR
Aritra Dutta, El Houcine Bergou, Yunming Xiao, Marco Canini, Peter Richtárik
2019 J jnl
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning.
CoRR
Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis
2019 A conf
Online and Batch Supervised Background Estimation Via L1 Regression.
WACV
Aritra Dutta, Peter Richtárik
2018 — conf
A Fast Weighted SVT Algorithm.
ICSAI
Aritra Dutta, Xin Li
2018 J jnl
A Nonconvex Projection Method for Robust PCA.
CoRR
Aritra Dutta, Filip Hanzely, Peter Richtárik
2018 J jnl
Weighted Low-Rank Approximation of Matrices and Background Modeling.
CoRR
Aritra Dutta, Xin Li, Peter Richtárik
2017 — conf
A Batch-Incremental Video Background Estimation Model Using Weighted Low-Rank Approximation of Matrices.
ICCV Workshops
Xin Li, Aritra Dutta, Peter Richtárik
2017 J jnl
A Batch-Incremental Video Background Estimation Model using Weighted Low-Rank Approximation of Matrices.
CoRR
Aritra Dutta, Xin Li, Peter Richtárik
2017 Misc conf
A fast algorithm for a weighted low rank approximation.
MVA
Aritra Dutta, Xin Li
2017 J jnl
Fast Detection of Compressively Sensed IR Targets Using Stochastically Trained Least Squares and Compressed Quadratic Correlation Filters.
IEEE Trans. Aerosp. Electron. Syst.
Brian Millikan, Aritra Dutta, Qiyu Sun, Hassan Foroosh
2017 J jnl
On a Problem of Weighted Low-Rank Approximation of Matrices.
SIAM J. Matrix Anal. Appl.
Aritra Dutta, Xin Li
2017 J jnl
Online and Batch Supervised Background Estimation via L1 Regression.
CoRR
Aritra Dutta, Peter Richtárik
2017 — conf
Weighted Low Rank Approximation for Background Estimation Problems.
ICCV Workshops
Xin Li, Aritra Dutta
2017 J jnl
Weighted Low Rank Approximation for Background Estimation Problems.
CoRR
Aritra Dutta, Xin Li
2015 — conf
Initialized iterative reweighted least squares for automatic target recognition.
MILCOM
Brian Millikan, Aritra Dutta, Nazanin Rahnavard, Qiyu Sun, Hassan Foroosh