Abhimanyu Dubey

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 56

Top Topics

Visual Classification

Gaussian Process

Top Venues

Publications

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.
The Llama 3 Herd of Models. CoRR (2024)
Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko
COLA: How to adapt vision-language models to Compose Objects Localized with Attributes? CoRR (2023)
Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko
Cola: A Benchmark for Compositional Text-to-image Retrieval. NeurIPS (2023)
Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. CoRR (2023)
Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic
Context Diffusion: In-Context Aware Image Generation. CoRR (2023)
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
Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack. CoRR (2023)
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
PACO: Parts and Attributes of Common Objects. CoRR (2023)
Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. CVPR (2023)
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
PACO: Parts and Attributes of Common Objects. CVPR (2023)
Filip Radenovic, Abhimanyu Dubey, Dhruv Mahajan
Neural Basis Models for Interpretability. CoRR (2022)
Filip Radenovic, Abhimanyu Dubey, Dhruv Mahajan
Neural Basis Models for Interpretability. NeurIPS (2022)
Abhimanyu Dubey, Filip Radenovic, Dhruv Mahajan
Scalable Interpretability via Polynomials. NeurIPS (2022)
Abhimanyu Dubey, Alex Pentland
Private and Byzantine-Proof Cooperative Decision-Making. CoRR (2022)
Abhimanyu Dubey, Filip Radenovic, Dhruv Mahajan
Scalable Interpretability via Polynomials. CoRR (2022)
Abhimanyu Dubey
No-Regret Algorithms for Private Gaussian Process Bandit Optimization. CoRR (2021)
Abhimanyu Dubey
No-Regret Algorithms for Private Gaussian Process Bandit Optimization. AISTATS (2021)
Abhimanyu Dubey, Alex Pentland
Provably Efficient Cooperative Multi-Agent Reinforcement Learning with Function Approximation. CoRR (2021)
Abhimanyu Dubey, Vignesh Ramanathan, Alex Pentland, Dhruv Mahajan
Adaptive Methods for Real-World Domain Generalization. CoRR (2021)
Xavier Thomas, Dhruv Mahajan, Alex Pentland, Abhimanyu Dubey
Adaptive Methods for Aggregated Domain Generalization. CoRR (2021)
Udari Madhushani, Abhimanyu Dubey, Naomi Ehrich Leonard, Alex Pentland
One More Step Towards Reality: Cooperative Bandits with Imperfect Communication. NeurIPS (2021)
Ziv Epstein, Matthew Groh, Abhimanyu Dubey, Alex 'Sandy' Pentland
Social influence leads to the formation of diverse local trends. CoRR (2021)
Ziv Epstein, Matthew Groh, Abhimanyu Dubey, Alex Pentland
Social Influence Leads to the Formation of Diverse Local Trends. Proc. ACM Hum. Comput. Interact. 5 (CSCW2) (2021)
Abhimanyu Dubey, Vignesh Ramanathan, Alex Pentland, Dhruv Mahajan
Adaptive Methods for Real-World Domain Generalization. CVPR (2021)
Udari Madhushani, Abhimanyu Dubey, Naomi Ehrich Leonard, Alex Pentland
One More Step Towards Reality: Cooperative Bandits with Imperfect Communication. CoRR (2021)
Abhimanyu Dubey, Alex 'Sandy' Pentland
Cooperative Multi-Agent Bandits with Heavy Tails. ICML (2020)
Abhimanyu Dubey, Alex Pentland
Kernel Methods for Cooperative Multi-Agent Contextual Bandits. CoRR (2020)
Abhimanyu Dubey, Alex 'Sandy' Pentland
Differentially-Private Federated Linear Bandits. NeurIPS (2020)
Abhimanyu Dubey, Alex Pentland
Differentially-Private Federated Linear Bandits. CoRR (2020)
Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Anirudh Goyal, P. M. Krafft, Esteban Moro, Alex Pentland
Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning. AAMAS (2020)
Abhimanyu Dubey, Alex 'Sandy' Pentland
Kernel Methods for Cooperative Multi-Agent Contextual Bandits. ICML (2020)
Abhimanyu Dubey, Alex Pentland
Cooperative Multi-Agent Bandits with Heavy Tails. CoRR (2020)
Abhimanyu Dubey, Alex Pentland
Private and Byzantine-Proof Cooperative Decision-Making. AAMAS (2020)
Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan
Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search. CVPR (2019)
Abhimanyu Dubey, Alex Pentland
Thompson Sampling on Symmetric α-Stable Bandits. CoRR (2019)
Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Anirudh Goyal, Peter M. Krafft, Esteban Moro, Alex Pentland
Communication Topologies Between Learning Agents in Deep Reinforcement Learning. CoRR (2019)
Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan
Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search. CoRR (2019)
Mayank Sharma, Suraj Tripathi, Abhimanyu Dubey, Jayadeva, Sai Guruju, Nihal Goalla
Smaller Models, Better Generalization. CoRR (2019)
Abhimanyu Dubey, Alex Pentland
Thompson Sampling on Symmetric Alpha-Stable Bandits. IJCAI (2019)
Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar, Nikhil Naik
Maximum-Entropy Fine-Grained Classification. CoRR (2018)
Abhimanyu Dubey, Moitreya Chatterjee, Narendra Ahuja
Coreset-Based Neural Network Compression. ECCV (7) (2018)
Abhimanyu Dubey, Esteban Moro, Manuel Cebrián, Iyad Rahwan
MemeSequencer: Sparse Matching for Embedding Image Macros. WWW (2018)
Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Abhimanyu Dubey, Bjarke Felbo, Matthew Groh, Nick Obradovich, Manuel Cebrián, Iyad Rahwan
Closing the AI Knowledge Gap. CoRR (2018)
Praneeth Vepakomma, Tristan Swedish, Ramesh Raskar, Otkrist Gupta, Abhimanyu Dubey
No Peek: A Survey of private distributed deep learning. CoRR (2018)
Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar, Nikhil Naik
Maximum-Entropy Fine Grained Classification. NeurIPS (2018)
Abhimanyu Dubey, Moitreya Chatterjee, Narendra Ahuja
Coreset-Based Neural Network Compression. CoRR (2018)
Shayne O'Brien, Matthew Groh, Abhimanyu Dubey
Evaluating Generative Adversarial Networks on Explicitly Parameterized Distributions. CoRR (2018)
Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Casey Jisoo Hong, Bjarke Felbo, Abhimanyu Dubey, Matthew Groh, Nick Obradovich, Manuel Cebrián, Iyad Rahwan
TuringBox: An Experimental Platform for the Evaluation of AI Systems. IJCAI (2018)
Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik
Pairwise Confusion for Fine-Grained Visual Classification. ECCV (12) (2018)
Abhimanyu Dubey, Esteban Moro, Manuel Cebrián, Iyad Rahwan
MemeSequencer: Sparse Matching for Embedding Image Macros. CoRR (2018)
Abhimanyu Dubey, Sumeet Agarwal
Modeling Image Virality with Pairwise Spatial Transformer Networks. ACM Multimedia (2017)
Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik
Training with Confusion for Fine-Grained Visual Classification. CoRR (2017)
Abhimanyu Dubey, Sumeet Agarwal
Modeling Image Virality with Pairwise Spatial Transformer Networks. CoRR (2017)
Jayadeva, Himanshu Pant, Mayank Sharma, Abhimanyu Dubey, Sumit Soman, Sai Guruju, Nihal Goalla
Learning Neural Network Classifiers with Low Model Complexity. CoRR (2017)
Abhimanyu Dubey, Jayadeva, Sumeet Agarwal
Examining Representational Similarity in ConvNets and the Primate Visual Cortex. CoRR (2016)
Abhimanyu Dubey, Nikhil Naik, Devi Parikh, Ramesh Raskar, César A. Hidalgo
Deep Learning the City: Quantifying Urban Perception at a Global Scale. ECCV (1) (2016)
Abhimanyu Dubey, Nikhil Naik, Devi Parikh, Ramesh Raskar, César A. Hidalgo
Deep Learning the City : Quantifying Urban Perception At A Global Scale. CoRR (2016)
Abhimanyu Dubey, Nikhil Naik, Dan Raviv, Rahul Sukthankar, Ramesh Raskar
Coreset-Based Adaptive Tracking. CoRR (2015)