Abhimanyu Dubey

According to our database, Abhimanyu Dubey authored at least 39 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Llama 3 Herd of Models.

Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, Anirudh Goyal, Anthony Hartshorn, Aobo Yang, Archi Mitra, Archie Sravankumar, Artem Korenev, Arthur Hinsvark, Arun Rao, Aston Zhang, Aurélien Rodriguez, Austen Gregerson, Ava Spataru, Baptiste Rozière, Bethany Biron, Binh Tang, Bobbie Chern, Charlotte Caucheteux, Chaya Nayak, Chloe Bi, Chris Marra, Chris McConnell, Christian Keller, Christophe Touret, Chunyang Wu, Corinne Wong, Cristian Canton Ferrer, Cyrus Nikolaidis, Damien Allonsius, Daniel Song, Danielle Pintz, Danny Livshits, David Esiobu, Dhruv Choudhary, Dhruv Mahajan, Diego Garcia-Olano, Diego Perino, Dieuwke Hupkes, Egor Lakomkin, Ehab AlBadawy, Elina Lobanova, Emily Dinan, Eric Michael Smith, Filip Radenovic, Frank Zhang, Gabriel Synnaeve, Gabrielle Lee, Georgia Lewis Anderson, Graeme Nail, Grégoire Mialon, Guan Pang, Guillem Cucurell, Hailey Nguyen, Hannah Korevaar, Hu Xu, Hugo Touvron, Iliyan Zarov, Imanol Arrieta Ibarra, Isabel M. Kloumann, Ishan Misra, Ivan Evtimov, Jade Copet, Jaewon Lee, Jan Geffert, Jana Vranes, Jason Park, Jay Mahadeokar, Jeet Shah, Jelmer van der Linde, Jennifer Billock, Jenny Hong, Jenya Lee, Jeremy Fu, Jianfeng Chi, Jianyu Huang, Jiawen Liu, Jie Wang, Jiecao Yu, Joanna Bitton, Joe Spisak, Jongsoo Park, Joseph Rocca, Joshua Johnstun, Joshua Saxe, Junteng Jia, Kalyan Vasuden Alwala, Kartikeya Upasani, Kate Plawiak, Ke Li, Kenneth Heafield, Kevin Stone, et al.

CoRR, 2024

Context Diffusion: In-Context Aware Image Generation.

Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.

Xiaoliang Dai, Ji Hou, Chih-Yao Ma, Sam S. Tsai, Jialiang Wang, Rui Wang, Peizhao Zhang, Simon Vandenhende, Xiaofang Wang, Abhimanyu Dubey, Matthew Yu, Abhishek Kadian, Filip Radenovic, Dhruv Mahajan, Kunpeng Li, Yue Zhao, Vladan Petrovic, Mitesh Kumar Singh, Simran Motwani, Yi Wen, Yiwen Song, Roshan Sumbaly, Vignesh Ramanathan, Zijian He, Peter Vajda, Devi Parikh

CoRR, 2023

COLA: How to adapt vision-language models to Compose Objects Localized with Attributes?

Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko

CoRR, 2023

Cola: A Benchmark for Compositional Text-to-image Retrieval.

Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PACO: Parts and Attributes of Common Objects.

Vignesh Ramanathan, Anmol Kalia, Vladan Petrovic, Yi Wen, Baixue Zheng, Baishan Guo, Rui Wang, Aaron Marquez, Rama Kovvuri, Abhishek Kadian, Amir Mousavi, Yiwen Song, Abhimanyu Dubey, Dhruv Mahajan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training.

Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Neural Basis Models for Interpretability.

Filip Radenovic, Abhimanyu Dubey, Dhruv Mahajan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scalable Interpretability via Polynomials.

Abhimanyu Dubey, Filip Radenovic, Dhruv Mahajan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Social Influence Leads to the Formation of Diverse Local Trends.

Ziv Epstein, Matthew Groh, Abhimanyu Dubey, Alex Pentland

Proc. ACM Hum. Comput. Interact., 2021

Adaptive Methods for Aggregated Domain Generalization.

Xavier Thomas, Dhruv Mahajan, Alex Pentland, Abhimanyu Dubey

CoRR, 2021

Provably Efficient Cooperative Multi-Agent Reinforcement Learning with Function Approximation.

Abhimanyu Dubey, Alex Pentland

CoRR, 2021

One More Step Towards Reality: Cooperative Bandits with Imperfect Communication.

Udari Madhushani, Abhimanyu Dubey, Naomi Ehrich Leonard, Alex Pentland

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adaptive Methods for Real-World Domain Generalization.

Abhimanyu Dubey, Vignesh Ramanathan, Alex Pentland, Dhruv Mahajan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

No-Regret Algorithms for Private Gaussian Process Bandit Optimization.

Abhimanyu Dubey

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Differentially-Private Federated Linear Bandits.

Abhimanyu Dubey, Alex 'Sandy' Pentland

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Kernel Methods for Cooperative Multi-Agent Contextual Bandits.

Abhimanyu Dubey, Alex 'Sandy' Pentland

Proceedings of the 37th International Conference on Machine Learning, 2020

Cooperative Multi-Agent Bandits with Heavy Tails.

Abhimanyu Dubey, Alex 'Sandy' Pentland

Proceedings of the 37th International Conference on Machine Learning, 2020

Private and Byzantine-Proof Cooperative Decision-Making.

Abhimanyu Dubey, Alex Pentland

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning.

Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Anirudh Goyal, P. M. Krafft, Esteban Moro, Alex Pentland

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Smaller Models, Better Generalization.

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

CoRR, 2019

Thompson Sampling on Symmetric α-Stable Bandits.

Abhimanyu Dubey, Alex Pentland

CoRR, 2019

Communication Topologies Between Learning Agents in Deep Reinforcement Learning.

Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Anirudh Goyal, Peter M. Krafft, Esteban Moro, Alex Pentland

CoRR, 2019

Thompson Sampling on Symmetric Alpha-Stable Bandits.

Abhimanyu Dubey, Alex Pentland

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Evaluating Generative Adversarial Networks on Explicitly Parameterized Distributions.

Shayne O'Brien, Matthew Groh, Abhimanyu Dubey

CoRR, 2018

No Peek: A Survey of private distributed deep learning.

Praneeth Vepakomma, Tristan Swedish, Ramesh Raskar, Otkrist Gupta, Abhimanyu Dubey

CoRR, 2018

Closing the AI Knowledge Gap.

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

CoRR, 2018

MemeSequencer: Sparse Matching for Embedding Image Macros.

Abhimanyu Dubey, Esteban Moro, Manuel Cebrián, Iyad Rahwan

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Maximum-Entropy Fine Grained Classification.

Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar, Nikhil Naik

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 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 Cebrián, Iyad Rahwan

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Pairwise Confusion for Fine-Grained Visual Classification.

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

Proceedings of the Computer Vision - ECCV 2018, 2018

Coreset-Based Neural Network Compression.

Abhimanyu Dubey, Moitreya Chatterjee, Narendra Ahuja

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Learning Neural Network Classifiers with Low Model Complexity.

Jayadeva, Himanshu Pant, Mayank Sharma, Abhimanyu Dubey, Sumit Soman, Sai Guruju, Nihal Goalla

CoRR, 2017

Training with Confusion for Fine-Grained Visual Classification.

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

CoRR, 2017

Modeling Image Virality with Pairwise Spatial Transformer Networks.

Abhimanyu Dubey, Sumeet Agarwal

Proceedings of the 2017 ACM on Multimedia Conference, 2017

2016

Examining Representational Similarity in ConvNets and the Primate Visual Cortex.

Abhimanyu Dubey, Jayadeva, Sumeet Agarwal

CoRR, 2016

Deep Learning the City: Quantifying Urban Perception at a Global Scale.

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

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Coreset-Based Adaptive Tracking.

Abhimanyu Dubey, Nikhil Naik, Dan Raviv, Rahul Sukthankar, Ramesh Raskar

CoRR, 2015