Dhruv Mahajan

80 papers A* 22A 3Journal 46Unranked 9
YearRankTypeTitle / Venue / Authors
2025 — conf
A Systematic Examination of Preference Learning through the Lens of Instruction-Following.
NAACL (Long Papers)
Joongwon Kim, Anirudh Goyal, Aston Zhang, Bo Xiong, Rui Hou, Melanie Kambadur, Dhruv Mahajan, Hannaneh Hajishirzi, Liang Tan
2025 A* conf
Law of the Weakest Link: Cross Capabilities of Large Language Models.
ICLR
Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten
2025 — conf
Self-Generated Critiques Boost Reward Modeling for Language Models.
NAACL (Long Papers)
Yue Yu, Zhengxing Chen, Aston Zhang, Liang Tan, Chenguang Zhu, Richard Yuanzhe Pang, Yundi Qian, Xuewei Wang, Suchin Gururangan, Chao Zhang, Melanie Kambadur, Dhruv Mahajan, Rui Hou
2024 J jnl
A Systematic Examination of Preference Learning through the Lens of Instruction-Following.
CoRR
Joongwon Kim, Anirudh Goyal, Aston Zhang, Bo Xiong, Rui Hou, Melanie Kambadur, Dhruv Mahajan, Hannaneh Hajishirzi, Liang Tan
2024 — conf
Context Diffusion: In-Context Aware Image Generation.
ECCV (77)
Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic
2024 J jnl
Law of the Weakest Link: Cross Capabilities of Large Language Models.
CoRR
Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten
2024 J jnl
Self-Generated Critiques Boost Reward Modeling for Language Models.
CoRR
Yue Yu, Zhengxing Chen, Aston Zhang, Liang Tan, Chenguang Zhu, Richard Yuanzhe Pang, Yundi Qian, Xuewei Wang, Suchin Gururangan, Chao Zhang, Melanie Kambadur, Dhruv Mahajan, Rui Hou
2024 — conf
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression.
ECCV (70)
Animesh Sinha, Bo Sun, Anmol Kalia, Arantxa Casanova, Elliot Blanchard, David Yan, Winnie Zhang, Tony Nelli, Jiahui Chen, Hardik Shah, Licheng Yu, Mitesh Kumar Singh, Ankit Ramchandani, Maziar Sanjabi, Sonal Gupta, Amy Bearman, Dhruv Mahajan
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
2023 J jnl
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression.
CoRR
Animesh Sinha, Bo Sun, Anmol Kalia, Arantxa Casanova, Elliot Blanchard, David Yan, Winnie Zhang, Tony Nelli, Jiahui Chen, Hardik Shah, Licheng Yu, Mitesh Kumar Singh, Ankit Ramchandani, Maziar Sanjabi, Sonal Gupta, Amy Bearman, Dhruv Mahajan
2022 — conf
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals.
ECCV (12)
Simon Vandenhende, Dhruv Mahajan, Filip Radenovic, Deepti Ghadiyaram
2022 J jnl
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals.
CoRR
Simon Vandenhende, Dhruv Mahajan, Filip Radenovic, Deepti Ghadiyaram
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 A* conf
Revisiting Weakly Supervised Pre-Training of Visual Perception Models.
CVPR
Mannat Singh, Laura Gustafson, Aaron Adcock, Vinicius de Freitas Reis, Bugra Gedik, Raj Prateek Kosaraju, Dhruv Mahajan, Ross B. Girshick, Piotr Dollár, Laurens van der Maaten
2022 J jnl
Revisiting Weakly Supervised Pre-Training of Visual Perception Models.
CoRR
Mannat Singh, Laura Gustafson, Aaron Adcock, Vinicius de Freitas Reis, Bugra Gedik, Raj Prateek Kosaraju, Dhruv Mahajan, Ross B. Girshick, Piotr Dollár, Laurens van der Maaten
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 J jnl
Large-Scale Attribute-Object Compositions.
CoRR
Filip Radenovic, Animesh Sinha, Albert Gordo, Tamara L. Berg, Dhruv Mahajan
2021 A* conf
PreDet: Large-scale weakly supervised pre-training for detection.
ICCV
Vignesh Ramanathan, Rui Wang, Dhruv Mahajan
2021 A* conf
Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency.
CVPR
Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan L. Yuille, Zhenheng Yang
2021 J jnl
Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency.
CoRR
Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan L. Yuille, Zhenheng Yang
2020 A* conf
ClusterFit: Improving Generalization of Visual Representations.
CVPR
Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan
2020 A* conf
DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data.
CVPR
Vignesh Ramanathan, Rui Wang, Dhruv Mahajan
2020 A* conf
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias.
CVPR
Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram
2020 J jnl
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias.
CoRR
Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram
2020 A* conf
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality.
CVPR
Zhenqiang Ying, Haoran Niu, Praful Gupta, Dhruv Mahajan, Deepti Ghadiyaram, Alan C. Bovik
2020 A* conf
Self-Supervised Learning by Cross-Modal Audio-Video Clustering.
NeurIPS
Humam Alwassel, Dhruv Mahajan, Bruno Korbar, Lorenzo Torresani, Bernard Ghanem, Du Tran
2020 — conf
What Leads to Generalization of Object Proposals?
ECCV Workshops (2)
Rui Wang, Dhruv Mahajan, Vignesh Ramanathan
2020 J jnl
What leads to generalization of object proposals?
CoRR
Rui Wang, Dhruv Mahajan, Vignesh Ramanathan
2019 A* conf
Activity Driven Weakly Supervised Object Detection.
CVPR
Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan
2019 J jnl
Activity Driven Weakly Supervised Object Detection.
CoRR
Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan
2019 J jnl
Billion-scale semi-supervised learning for image classification.
CoRR
I. Zeki Yalniz, Hervé Jégou, Kan Chen, Manohar Paluri, Dhruv Mahajan
2019 J jnl
ClusterFit: Improving Generalization of Visual Representations.
CoRR
Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan
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
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality.
CoRR
Zhenqiang Ying, Haoran Niu, Praful Gupta, Dhruv Mahajan, Deepti Ghadiyaram, Alan C. Bovik
2019 A* conf
Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition.
CVPR
Deepti Ghadiyaram, Du Tran, Dhruv Mahajan
2019 J jnl
Large-scale weakly-supervised pre-training for video action recognition.
CoRR
Deepti Ghadiyaram, Matt Feiszli, Du Tran, Xueting Yan, Heng Wang, Dhruv Mahajan
2019 J jnl
Measuring Dataset Granularity.
CoRR
Yin Cui, Zeqi Gu, Dhruv Mahajan, Laurens van der Maaten, Serge J. Belongie, Ser-Nam Lim
2019 A* conf
Scaling and Benchmarking Self-Supervised Visual Representation Learning.
ICCV
Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra
2019 J jnl
Scaling and Benchmarking Self-Supervised Visual Representation Learning.
CoRR
Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra
2019 J jnl
Self-Supervised Learning by Cross-Modal Audio-Video Clustering.
CoRR
Humam Alwassel, Dhruv Mahajan, Lorenzo Torresani, Bernard Ghanem, Du Tran
2018 J jnl
An efficient distributed learning algorithm based on effective local functional approximations.
J. Mach. Learn. Res.
Dhruv Mahajan, Nikunj Agrawal, S. Sathiya Keerthi, Sundararajan Sellamanickam, Léon Bottou
2018 A conf
Batch-Expansion Training: An Efficient Optimization Framework.
AISTATS
Michal Derezinski, Dhruv Mahajan, S. Sathiya Keerthi, S. V. N. Vishwanathan, Markus Weimer
2018 J jnl
Distributed Newton Methods for Deep Neural Networks.
CoRR
Chien-Chih Wang, Kent Loong Tan, Chun-Ting Chen, Yu-Hsiang Lin, S. Sathiya Keerthi, Dhruv Mahajan, S. Sundararajan, Chih-Jen Lin
2018 J jnl
Distributed Newton Methods for Deep Neural Networks.
Neural Comput.
Chien-Chih Wang, Kent Loong Tan, Chun-Ting Chen, Yu-Hsiang Lin, S. Sathiya Keerthi, Dhruv Mahajan, S. Sundararajan, Chih-Jen Lin
2018 — conf
Exploring the Limits of Weakly Supervised Pretraining.
ECCV (2)
Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten
2018 J jnl
Exploring the Limits of Weakly Supervised Pretraining.
CoRR
Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten
2018 A* conf
What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets.
CVPR
De-An Huang, Vignesh Ramanathan, Dhruv Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, Juan Carlos Niebles
2017 J jnl
A distributed block coordinate descent method for training l1 regularized linear classifiers.
J. Mach. Learn. Res.
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan
2017 J jnl
Batch-Expansion Training: An Efficient Optimization Paradigm for Machine Learning.
CoRR
Michal Derezinski, Dhruv Mahajan, S. Sathiya Keerthi, S. V. N. Vishwanathan, Markus Weimer
2017 J jnl
Efficient Estimation of Generalization Error and Bias-Variance Components of Ensembles.
CoRR
Dhruv Mahajan, Vivek Gupta, S. Sathiya Keerthi, Sundararajan Sellamanickam, Shravan Narayanamurthy, Rahul Kidambi
2017 A* conf
Gradient Boosted Decision Trees for High Dimensional Sparse Output.
ICML
Si Si, Huan Zhang, S. Sathiya Keerthi, Dhruv Mahajan, Inderjit S. Dhillon, Cho-Jui Hsieh
2017 J jnl
Towards Geo-Distributed Machine Learning.
IEEE Data Eng. Bull.
Ignacio Cano, Markus Weimer, Dhruv Mahajan, Carlo Curino, Giovanni Matteo Fumarola, Arvind Krishnamurthy
2016 A conf
Hashtag Recommendation for Enterprise Applications.
CIKM
Dhruv Mahajan, Vishwajit Kolathur, Chetan Bansal, Suresh Parthasarathy, Sundararajan Sellamanickam, S. Sathiya Keerthi, Johannes Gehrke
2016 J jnl
Towards Geo-Distributed Machine Learning.
CoRR
Ignacio Cano, Markus Weimer, Dhruv Mahajan, Carlo Curino, Giovanni Matteo Fumarola
2014 J jnl
A Distributed Algorithm for Training Nonlinear Kernel Machines.
CoRR
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan
2014 J jnl
A distributed block coordinate descent method for training $l_1$ regularized linear classifiers.
CoRR
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan
2014 A conf
Cluster Canonical Correlation Analysis.
AISTATS
Nikhil Rasiwasia, Dhruv Mahajan, Vijay Mahadevan, Gaurav Aggarwal
2013 J jnl
A Functional Approximation Based Distributed Learning Algorithm.
CoRR
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou
2013 J jnl
A Parallel SGD method with Strong Convergence.
CoRR
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou
2012 A* conf
A Classification Based Framework for Concept Summarization.
ICDM
Dhruv Mahajan, Sundararajan Sellamanickam, Subhajit Sanyal, Amit Madaan
2012 A* conf
Learning hierarchical similarity metrics.
CVPR
Nakul Verma, Dhruv Mahajan, Sundararajan Sellamanickam, Vinod Nair
2009 J jnl
Compressive light transport sensing.
ACM Trans. Graph.
Pieter Peers, Dhruv Mahajan, Bruce Lamond, Abhijeet Ghosh, Wojciech Matusik, Ravi Ramamoorthi, Paul E. Debevec
2009 J jnl
Moving gradients: a path-based method for plausible image interpolation.
ACM Trans. Graph.
Dhruv Mahajan, Fu-Chung Huang, Wojciech Matusik, Ravi Ramamoorthi, Peter N. Belhumeur
2008 J jnl
A Theory Of Frequency Domain Invariants: Spherical Harmonic Identities for BRDF/Lighting Transfer and Image Consistency.
IEEE Trans. Pattern Anal. Mach. Intell.
Dhruv Mahajan, Ravi Ramamoorthi, Brian Curless
2008 J jnl
An Analysis of the In-Out BRDF Factorization for View-Dependent Relighting.
Comput. Graph. Forum
Dhruv Mahajan, Yu-Ting Tseng, Ravi Ramamoorthi
2007 J jnl
A first-order analysis of lighting, shading, and shadows.
ACM Trans. Graph.
Ravi Ramamoorthi, Dhruv Mahajan, Peter N. Belhumeur
2007 J jnl
A theory of locally low dimensional light transport.
ACM Trans. Graph.
Dhruv Mahajan, Ira Kemelmacher-Shlizerman, Ravi Ramamoorthi, Peter N. Belhumeur
2006 — conf
A Theory of Spherical Harmonic Identities for BRDF/Lighting Transfer and Image Consistency.
ECCV (4)
Dhruv Mahajan, Ravi Ramamoorthi, Brian Curless
2004 — conf
A Framework for Activity Recognition and Detection of Unusual Activities.
ICVGIP
Dhruv Mahajan, Nipun Kwatra, Sumit Jain, Prem Kalra, Subhashis Banerjee