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Abhimanyu Dubey
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2020 – today
- 2024
- [c23]Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic:
Context Diffusion: In-Context Aware Image Generation. ECCV (77) 2024: 375-391 - [i34]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 abs/2407.21783 (2024) - 2023
- [c22]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: 6967-6977 - [c21]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: 7141-7151 - [c20]Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko:
Cola: A Benchmark for Compositional Text-to-image Retrieval. NeurIPS 2023 - [i33]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 abs/2301.01795 (2023) - [i32]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 abs/2301.02280 (2023) - [i31]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 abs/2305.03689 (2023) - [i30]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 abs/2309.15807 (2023) - [i29]Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic:
Context Diffusion: In-Context Aware Image Generation. CoRR abs/2312.03584 (2023) - 2022
- [c19]Abhimanyu Dubey, Filip Radenovic, Dhruv Mahajan:
Scalable Interpretability via Polynomials. NeurIPS 2022 - [c18]Filip Radenovic, Abhimanyu Dubey, Dhruv Mahajan:
Neural Basis Models for Interpretability. NeurIPS 2022 - [i28]Abhimanyu Dubey, Filip Radenovic, Dhruv Mahajan:
Scalable Interpretability via Polynomials. CoRR abs/2205.14108 (2022) - [i27]Filip Radenovic, Abhimanyu Dubey, Dhruv Mahajan:
Neural Basis Models for Interpretability. CoRR abs/2205.14120 (2022) - [i26]Abhimanyu Dubey, Alex Pentland:
Private and Byzantine-Proof Cooperative Decision-Making. CoRR abs/2205.14174 (2022) - 2021
- [j1]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): 409:1-409:18 (2021) - [c17]Abhimanyu Dubey:
No-Regret Algorithms for Private Gaussian Process Bandit Optimization. AISTATS 2021: 2062-2070 - [c16]Abhimanyu Dubey, Vignesh Ramanathan, Alex Pentland, Dhruv Mahajan:
Adaptive Methods for Real-World Domain Generalization. CVPR 2021: 14340-14349 - [c15]Udari Madhushani, Abhimanyu Dubey, Naomi Ehrich Leonard, Alex Pentland:
One More Step Towards Reality: Cooperative Bandits with Imperfect Communication. NeurIPS 2021: 7813-7824 - [i25]Abhimanyu Dubey:
No-Regret Algorithms for Private Gaussian Process Bandit Optimization. CoRR abs/2102.12467 (2021) - [i24]Abhimanyu Dubey, Alex Pentland:
Provably Efficient Cooperative Multi-Agent Reinforcement Learning with Function Approximation. CoRR abs/2103.04972 (2021) - [i23]Abhimanyu Dubey, Vignesh Ramanathan, Alex Pentland, Dhruv Mahajan:
Adaptive Methods for Real-World Domain Generalization. CoRR abs/2103.15796 (2021) - [i22]Ziv Epstein, Matthew Groh, Abhimanyu Dubey, Alex 'Sandy' Pentland:
Social influence leads to the formation of diverse local trends. CoRR abs/2108.07437 (2021) - [i21]Udari Madhushani, Abhimanyu Dubey, Naomi Ehrich Leonard, Alex Pentland:
One More Step Towards Reality: Cooperative Bandits with Imperfect Communication. CoRR abs/2111.12482 (2021) - [i20]Xavier Thomas, Dhruv Mahajan, Alex Pentland, Abhimanyu Dubey:
Adaptive Methods for Aggregated Domain Generalization. CoRR abs/2112.04766 (2021) - 2020
- [c14]Abhimanyu Dubey, Alex Pentland:
Private and Byzantine-Proof Cooperative Decision-Making. AAMAS 2020: 357-365 - [c13]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: 1738-1740 - [c12]Abhimanyu Dubey, Alex 'Sandy' Pentland:
Cooperative Multi-Agent Bandits with Heavy Tails. ICML 2020: 2730-2739 - [c11]Abhimanyu Dubey, Alex 'Sandy' Pentland:
Kernel Methods for Cooperative Multi-Agent Contextual Bandits. ICML 2020: 2740-2750 - [c10]Abhimanyu Dubey, Alex 'Sandy' Pentland:
Differentially-Private Federated Linear Bandits. NeurIPS 2020 - [i19]Abhimanyu Dubey, Alex Pentland:
Kernel Methods for Cooperative Multi-Agent Contextual Bandits. CoRR abs/2008.06220 (2020) - [i18]Abhimanyu Dubey, Alex Pentland:
Cooperative Multi-Agent Bandits with Heavy Tails. CoRR abs/2008.06244 (2020) - [i17]Abhimanyu Dubey, Alex Pentland:
Differentially-Private Federated Linear Bandits. CoRR abs/2010.11425 (2020)
2010 – 2019
- 2019
- [c9]Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan:
Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search. CVPR 2019: 8767-8776 - [c8]Abhimanyu Dubey, Alex Pentland:
Thompson Sampling on Symmetric Alpha-Stable Bandits. IJCAI 2019: 5715-5721 - [i16]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 abs/1902.06740 (2019) - [i15]Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan:
Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search. CoRR abs/1903.01612 (2019) - [i14]Abhimanyu Dubey, Alex Pentland:
Thompson Sampling on Symmetric α-Stable Bandits. CoRR abs/1907.03821 (2019) - [i13]Mayank Sharma, Suraj Tripathi, Abhimanyu Dubey, Jayadeva, Sai Guruju, Nihal Goalla:
Smaller Models, Better Generalization. CoRR abs/1908.11250 (2019) - 2018
- [c7]Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik:
Pairwise Confusion for Fine-Grained Visual Classification. ECCV (12) 2018: 71-88 - [c6]Abhimanyu Dubey, Moitreya Chatterjee, Narendra Ahuja:
Coreset-Based Neural Network Compression. ECCV (7) 2018: 469-486 - [c5]Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Casey Jisoo Hong, Bjarke Felbo, Abhimanyu Dubey, Matthew Groh
TuringBox: An Experimental Platform for the Evaluation of AI Systems. IJCAI 2018: 5826-5828 - [c4]Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar, Nikhil Naik:
Maximum-Entropy Fine Grained Classification. NeurIPS 2018: 635-645 - [c3]Abhimanyu Dubey, Esteban Moro
MemeSequencer: Sparse Matching for Embedding Image Macros. WWW 2018: 1225-1235 - [i12]Abhimanyu Dubey, Esteban Moro, Manuel Cebrián, Iyad Rahwan:
MemeSequencer: Sparse Matching for Embedding Image Macros. CoRR abs/1802.04936 (2018) - [i11]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 abs/1803.07233 (2018) - [i10]Abhimanyu Dubey, Moitreya Chatterjee, Narendra Ahuja:
Coreset-Based Neural Network Compression. CoRR abs/1807.09810 (2018) - [i9]Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar, Nikhil Naik:
Maximum-Entropy Fine-Grained Classification. CoRR abs/1809.05934 (2018) - [i8]Praneeth Vepakomma, Tristan Swedish, Ramesh Raskar, Otkrist Gupta, Abhimanyu Dubey:
No Peek: A Survey of private distributed deep learning. CoRR abs/1812.03288 (2018) - [i7]Shayne O'Brien, Matthew Groh, Abhimanyu Dubey:
Evaluating Generative Adversarial Networks on Explicitly Parameterized Distributions. CoRR abs/1812.10782 (2018) - 2017
- [c2]Abhimanyu Dubey, Sumeet Agarwal
Modeling Image Virality with Pairwise Spatial Transformer Networks. ACM Multimedia 2017: 663-671 - [i6]Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik:
Training with Confusion for Fine-Grained Visual Classification. CoRR abs/1705.08016 (2017) - [i5]Jayadeva, Himanshu Pant, Mayank Sharma, Abhimanyu Dubey, Sumit Soman, Sai Guruju, Nihal Goalla:
Learning Neural Network Classifiers with Low Model Complexity. CoRR abs/1707.09933 (2017) - [i4]Abhimanyu Dubey, Sumeet Agarwal:
Modeling Image Virality with Pairwise Spatial Transformer Networks. CoRR abs/1709.07914 (2017) - 2016
- [c1]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: 196-212 - [i3]Abhimanyu Dubey, Nikhil Naik, Devi Parikh, Ramesh Raskar, César A. Hidalgo:
Deep Learning the City : Quantifying Urban Perception At A Global Scale. CoRR abs/1608.01769 (2016) - [i2]Abhimanyu Dubey, Jayadeva, Sumeet Agarwal:
Examining Representational Similarity in ConvNets and the Primate Visual Cortex. CoRR abs/1609.03529 (2016) - 2015
- [i1]Abhimanyu Dubey, Nikhil Naik, Dan Raviv, Rahul Sukthankar, Ramesh Raskar:
Coreset-Based Adaptive Tracking. CoRR abs/1511.06147 (2015)
Coauthor Index
aka: Alex 'Sandy' Pentland
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