Abhimanyu Dubey

I am a second-year graduate student in the Human Dynamics group at MIT, supervised by Alex Pentland. My research interests are in artificial intelligence, deep learning and computational social science. I am supported by an Emerging Worlds Fellowship. Prior to this, I received a master's degree in Computer Science and bachelor's degree in Electrical Engineering at IIT Delhi, where I was supervised by Sumeet Agarwal.

dubeya[at]mit.edu | github | quora | scholar | linkedin


Updates

July 2018          2 papers accepted to ECCV 2018!
May 2018          TuringBox has been accepted to FAT/ML 2018 as a full talk!
April 2018          TuringBox has been accepted to IJCAI 2018 as a demo!
March 2018          Our work on collective intelligence and reinforcement learning has been accepted to IC2S2 2018 as a poster presentation.
February 2018          Quora named me as a Top Writer for 2018!
Our work on collective intelligence and reinforcement learning has been accepted to NetSci 2018 as a spotlight presentation.
January 2018          I will be joining the Computer Vision team at Facebook Research in summer 2018 as a research intern!

Publications

Conference Proceedings

Coreset-Based Network Compression
Abhimanyu Dubey*, Moitreya Chatterjee*, Ramesh Raskar and Narendra Ahuja
European Conference on Computer Vision (ECCV), 2018 (to appear)

Pairwise Confusion for Fine-Grained Classification
Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell and Nikhil Naik
European Conference on Computer Vision (ECCV), 2018 (to appear) [arxiv | code]

Sparse Matching for Embedding Image Macros
Abhimanyu Dubey, Esteban Moro, Manuel Cebrian and Iyad Rahwan
International World Wide Web Conference (WWW), 2018 [pdf]

Modeling Image Virality with Pairwise Spatial Transformer Networks
Abhimanyu Dubey and Sumeet Agarwal
ACM Multimedia Conference (MM), 2017 [pdf]

Deep Learning the City: Quantifying Global Urban Perception
Abhimanyu Dubey, Nikhil Naik, Devi Parikh, Ramesh Raskar and Cesar Hidalgo
European Conference on Computer Vision (ECCV), 2016 [pdf | website]

Workshop and Non-Archival Publications

Prediction Propagation for Domain Adaptation
Bjarke Felbo, Michiel Bakker, Abhimanyu Dubey, Sadhika Malladi, Alex Pentland and Iyad Rahwan
Towards learning with limited labels: Equivariance, Invariance, and Beyond
International Conference on Machine Learning (ICML) Workshops, 2018

TuringBox: An Experimental Platform for the Evaluation of AI Systems
Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Casey Jisoo Hong, Bjarke Felbo, Abhimanyu Dubey, Matthew Groh, Nick Obradovich, Manuel Cebrian and Iyad Rahwan
International Joint Conference on Artifical Intelligence (IJCAI), 2018 (demo)
Fairness, Accountability, and Transparency in Machine Learning (FAT/ML), ICML 2018

Sparsely-Networked Evolution Strategies
Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Yan Leng, Peter Krafft, Esteban Moro and Alex Pentland
International Conference on Computational Social Science (IC2S2), 2018 (short abstract)
International Conference on Network Science (NetSci), 2018 (spotlight / lightning talk)

Regularizing Prediction Entropy Enhances Deep Learning with Limited Data
Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar, Iyad Rahwan and Nikhil Naik
Workshop on Learning with Limited Data
Neural Information Processing Systems (NIPS), 2017 [pdf]

Examining Representational Similarity in ConvNets and the Primate Visual Cortex
Abhimanyu Dubey, Jayadeva and Sumeet Agarwal
European Conference on Computer Vision (ECCV) Workshops, 2016 (Spotlight) [pdf]

Deep Convolutional Networks for Modeling Image Virality
Abhimanyu Dubey and Sumeet Agarwal
European Conference on Computer Vision (ECCV) Workshops, 2016
Indian Workshop on Machine Learning (iWML), 2016 (Oral) [pdf]

Coreset-Based Adaptive Tracking
Abhimanyu Dubey, Nikhil Naik, Dan Raviv, Rahul Sukthankar and Ramesh Raskar
Preprint 2015 [pdf]

(c) 2018 Abhimanyu Dubey , last updated July 18, 2018. Hits:web counter