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Differentially-Private Federated Linear Bandits

Oct 22, 2020
Abhimanyu Dubey, Alex Pentland

* 22 pages. Camera-ready for NeurIPS 2020 

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Cooperative Multi-Agent Bandits with Heavy Tails

Aug 14, 2020
Abhimanyu Dubey, Alex Pentland

* 26 pages including appendix, camera-ready for ICML 2020 

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Kernel Methods for Cooperative Multi-Agent Contextual Bandits

Aug 14, 2020
Abhimanyu Dubey, Alex Pentland

* 19 pages including supplement, camera-ready at ICML 2020 

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Smaller Models, Better Generalization

Aug 29, 2019
Mayank Sharma, Suraj Tripathi, Abhimanyu Dubey, Jayadeva, Sai Guruju, Nihal Goalla

* 10 pages, 3 figures, In Review 

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Thompson Sampling on Symmetric $α$-Stable Bandits

Jul 08, 2019
Abhimanyu Dubey, Alex Pentland

* IJCAI 2019 Camera Ready 

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Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search

Mar 05, 2019
Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan

* CVPR 2019 Oral presentation; camera-ready with supplement (14 pages) 

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Communication Topologies Between Learning Agents in Deep Reinforcement Learning

Feb 16, 2019
Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Anirudh Goyal, Peter Krafft, Esteban Moro, Alex Pentland

* arXiv admin note: substantial text overlap with arXiv:1811.12556 

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Evaluating Generative Adversarial Networks on Explicitly Parameterized Distributions

Dec 27, 2018
Shayne O'Brien, Matt Groh, Abhimanyu Dubey

* Presented at the NeurIPS 2018 Workshop on Critiquing and Correcting Trends in Machine Learning 

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No Peek: A Survey of private distributed deep learning

Dec 08, 2018
Praneeth Vepakomma, Tristan Swedish, Ramesh Raskar, Otkrist Gupta, Abhimanyu Dubey

* 21 pages 

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How to Organize your Deep Reinforcement Learning Agents: The Importance of Communication Topology

Nov 30, 2018
Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Peter Krafft, Esteban Moro, Alex `Sandy' Pentland

* NeurIPS Deep Reinforcement Learning Workshop 2018 

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Maximum-Entropy Fine-Grained Classification

Sep 20, 2018
Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar, Nikhil Naik

* Camera-ready, accepted to NIPS 2018, v2 has minor typo updates and small changes in text 

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Pairwise Confusion for Fine-Grained Visual Classification

Jul 25, 2018
Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik

* Camera-Ready version for ECCV 2018 

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Coreset-Based Neural Network Compression

Jul 25, 2018
Abhimanyu Dubey, Moitreya Chatterjee, Narendra Ahuja

* Camera-Ready version for ECCV 2018 

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Closing the AI Knowledge Gap

Mar 20, 2018
Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Abhimanyu Dubey, Bjarke Felbo, Matthew Groh, Nick Obradovich, Manuel Cebrian, Iyad Rahwan

* 8 pages, 3 figures, under review 

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MemeSequencer: Sparse Matching for Embedding Image Macros

Feb 14, 2018
Abhimanyu Dubey, Esteban Moro, Manuel Cebrian, Iyad Rahwan

* 9 pages (+2 pages references), camera ready version for International World Wide Web Conference (WWW) 2018 

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Learning Neural Network Classifiers with Low Model Complexity

Jan 02, 2018
Jayadeva, Himanshu Pant, Mayank Sharma, Abhimanyu Dubey, Sumit Soman, Suraj Tripathi, Sai Guruju, Nihal Goalla


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Modeling Image Virality with Pairwise Spatial Transformer Networks

Sep 22, 2017
Abhimanyu Dubey, Sumeet Agarwal

* 9 pages, Accepted as a full paper at the ACM Multimedia Conference (MM) 2017 

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Examining Representational Similarity in ConvNets and the Primate Visual Cortex

Sep 12, 2016
Abhimanyu Dubey, Jayadeva, Sumeet Agarwal

* 4 pages, short abstract, Accepted to the Workshop on Biological and Artificial Vision, ECCV, 2016 

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Deep Learning the City : Quantifying Urban Perception At A Global Scale

Sep 12, 2016
Abhimanyu Dubey, Nikhil Naik, Devi Parikh, Ramesh Raskar, César A. Hidalgo

* 23 pages, 8 figures. Accepted to the European Conference on Computer Vision (ECCV), 2016 

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Coreset-Based Adaptive Tracking

Nov 19, 2015
Abhimanyu Dubey, Nikhil Naik, Dan Raviv, Rahul Sukthankar, Ramesh Raskar

* 8 pages, 5 figures, In submission to IEEE TPAMI (Transactions on Pattern Analysis and Machine Intelligence) 

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