Abhimanyu Dubey

57 papers A* 16A 3Journal 34Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Context Diffusion: In-Context Aware Image Generation. ECCV (77) Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic
2023	J	`jnl`	COLA: How to adapt vision-language models to Compose Objects Localized with Attributes? CoRR Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko
2023	A*	`conf`	Cola: A Benchmark for Compositional Text-to-image Retrieval. NeurIPS Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan A. Plummer, Ranjay Krishna, Kate Saenko
2023	J	`jnl`	Context Diffusion: In-Context Aware Image Generation. CoRR Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic
2023	J	`jnl`	Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack. CoRR 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
2023	A*	`conf`	Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. CVPR Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan
2023	J	`jnl`	Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. CoRR Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan
2023	A*	`conf`	PACO: Parts and Attributes of Common Objects. CVPR 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
2023	J	`jnl`	PACO: Parts and Attributes of Common Objects. CoRR 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
2022	A*	`conf`	Neural Basis Models for Interpretability. NeurIPS Filip Radenovic, Abhimanyu Dubey, Dhruv Mahajan
2022	J	`jnl`	Neural Basis Models for Interpretability. CoRR Filip Radenovic, Abhimanyu Dubey, Dhruv Mahajan
2022	J	`jnl`	Private and Byzantine-Proof Cooperative Decision-Making. CoRR Abhimanyu Dubey, Alex Pentland
2022	A*	`conf`	Scalable Interpretability via Polynomials. NeurIPS Abhimanyu Dubey, Filip Radenovic, Dhruv Mahajan
2022	J	`jnl`	Scalable Interpretability via Polynomials. CoRR Abhimanyu Dubey, Filip Radenovic, Dhruv Mahajan
2021	J	`jnl`	Adaptive Methods for Aggregated Domain Generalization. CoRR Xavier Thomas, Dhruv Mahajan, Alex Pentland, Abhimanyu Dubey
2021	A*	`conf`	Adaptive Methods for Real-World Domain Generalization. CVPR Abhimanyu Dubey, Vignesh Ramanathan, Alex Pentland, Dhruv Mahajan
2021	J	`jnl`	Adaptive Methods for Real-World Domain Generalization. CoRR Abhimanyu Dubey, Vignesh Ramanathan, Alex Pentland, Dhruv Mahajan
2021	A	`conf`	No-Regret Algorithms for Private Gaussian Process Bandit Optimization. AISTATS Abhimanyu Dubey
2021	J	`jnl`	No-Regret Algorithms for Private Gaussian Process Bandit Optimization. CoRR Abhimanyu Dubey
2021	A*	`conf`	One More Step Towards Reality: Cooperative Bandits with Imperfect Communication. NeurIPS Udari Madhushani, Abhimanyu Dubey, Naomi Ehrich Leonard, Alex Pentland
2021	J	`jnl`	One More Step Towards Reality: Cooperative Bandits with Imperfect Communication. CoRR Udari Madhushani, Abhimanyu Dubey, Naomi Ehrich Leonard, Alex Pentland
2021	J	`jnl`	Provably Efficient Cooperative Multi-Agent Reinforcement Learning with Function Approximation. CoRR Abhimanyu Dubey, Alex Pentland
2021	J	`jnl`	Social Influence Leads to the Formation of Diverse Local Trends. Proc. ACM Hum. Comput. Interact. Ziv Epstein, Matthew Groh, Abhimanyu Dubey, Alex Pentland
2021	J	`jnl`	Social influence leads to the formation of diverse local trends. CoRR Ziv Epstein, Matthew Groh, Abhimanyu Dubey, Alex 'Sandy' Pentland
2020	A*	`conf`	Cooperative Multi-Agent Bandits with Heavy Tails. ICML Abhimanyu Dubey, Alex 'Sandy' Pentland
2020	J	`jnl`	Cooperative Multi-Agent Bandits with Heavy Tails. CoRR Abhimanyu Dubey, Alex Pentland
2020	A*	`conf`	Differentially-Private Federated Linear Bandits. NeurIPS Abhimanyu Dubey, Alex 'Sandy' Pentland
2020	J	`jnl`	Differentially-Private Federated Linear Bandits. CoRR Abhimanyu Dubey, Alex Pentland
2020	A*	`conf`	Kernel Methods for Cooperative Multi-Agent Contextual Bandits. ICML Abhimanyu Dubey, Alex 'Sandy' Pentland
2020	J	`jnl`	Kernel Methods for Cooperative Multi-Agent Contextual Bandits. CoRR Abhimanyu Dubey, Alex Pentland
2020	A	`conf`	Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning. AAMAS Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Anirudh Goyal, P. M. Krafft, Esteban Moro, Alex Pentland
2020	A	`conf`	Private and Byzantine-Proof Cooperative Decision-Making. AAMAS Abhimanyu Dubey, Alex Pentland
2019	J	`jnl`	Communication Topologies Between Learning Agents in Deep Reinforcement Learning. CoRR Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey, Anirudh Goyal, Peter M. Krafft, Esteban Moro, Alex Pentland
2019	A*	`conf`	Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search. CVPR Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan
2019	J	`jnl`	Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search. CoRR Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan
2019	J	`jnl`	Smaller Models, Better Generalization. CoRR Mayank Sharma, Suraj Tripathi, Abhimanyu Dubey, Jayadeva, Sai Guruju, Nihal Goalla
2019	A*	`conf`	Thompson Sampling on Symmetric Alpha-Stable Bandits. IJCAI Abhimanyu Dubey, Alex Pentland
2019	J	`jnl`	Thompson Sampling on Symmetric α-Stable Bandits. CoRR Abhimanyu Dubey, Alex Pentland
2018	J	`jnl`	Closing the AI Knowledge Gap. CoRR Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Abhimanyu Dubey, Bjarke Felbo, Matthew Groh, Nick Obradovich, Manuel Cebrián, Iyad Rahwan
2018	—	`conf`	Coreset-Based Neural Network Compression. ECCV (7) Abhimanyu Dubey, Moitreya Chatterjee, Narendra Ahuja
2018	J	`jnl`	Coreset-Based Neural Network Compression. CoRR Abhimanyu Dubey, Moitreya Chatterjee, Narendra Ahuja
2018	J	`jnl`	Evaluating Generative Adversarial Networks on Explicitly Parameterized Distributions. CoRR Shayne O'Brien, Matthew Groh, Abhimanyu Dubey
2018	A*	`conf`	Maximum-Entropy Fine Grained Classification. NeurIPS Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar, Nikhil Naik
2018	J	`jnl`	Maximum-Entropy Fine-Grained Classification. CoRR Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar, Nikhil Naik
2018	A*	`conf`	MemeSequencer: Sparse Matching for Embedding Image Macros. WWW Abhimanyu Dubey, Esteban Moro, Manuel Cebrián, Iyad Rahwan
2018	J	`jnl`	MemeSequencer: Sparse Matching for Embedding Image Macros. CoRR Abhimanyu Dubey, Esteban Moro, Manuel Cebrián, Iyad Rahwan
2018	J	`jnl`	No Peek: A Survey of private distributed deep learning. CoRR Praneeth Vepakomma, Tristan Swedish, Ramesh Raskar, Otkrist Gupta, Abhimanyu Dubey
2018	—	`conf`	Pairwise Confusion for Fine-Grained Visual Classification. ECCV (12) Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik
2018	A*	`conf`	TuringBox: An Experimental Platform for the Evaluation of AI Systems. IJCAI Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Casey Jisoo Hong, Bjarke Felbo, Abhimanyu Dubey, Matthew Groh, Nick Obradovich, Manuel Cebrián, Iyad Rahwan
2017	J	`jnl`	Learning Neural Network Classifiers with Low Model Complexity. CoRR Jayadeva, Himanshu Pant, Mayank Sharma, Abhimanyu Dubey, Sumit Soman, Sai Guruju, Nihal Goalla
2017	A*	`conf`	Modeling Image Virality with Pairwise Spatial Transformer Networks. ACM Multimedia Abhimanyu Dubey, Sumeet Agarwal
2017	J	`jnl`	Modeling Image Virality with Pairwise Spatial Transformer Networks. CoRR Abhimanyu Dubey, Sumeet Agarwal
2017	J	`jnl`	Training with Confusion for Fine-Grained Visual Classification. CoRR Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik
2016	J	`jnl`	Deep Learning the City : Quantifying Urban Perception At A Global Scale. CoRR Abhimanyu Dubey, Nikhil Naik, Devi Parikh, Ramesh Raskar, César A. Hidalgo
2016	—	`conf`	Deep Learning the City: Quantifying Urban Perception at a Global Scale. ECCV (1) Abhimanyu Dubey, Nikhil Naik, Devi Parikh, Ramesh Raskar, César A. Hidalgo
2016	J	`jnl`	Examining Representational Similarity in ConvNets and the Primate Visual Cortex. CoRR Abhimanyu Dubey, Jayadeva, Sumeet Agarwal
2015	J	`jnl`	Coreset-Based Adaptive Tracking. CoRR Abhimanyu Dubey, Nikhil Naik, Dan Raviv, Rahul Sukthankar, Ramesh Raskar