Dhruv Mahajan

According to our database, Dhruv Mahajan authored at least 61 papers between 2004 and 2024.

Collaborative distances:

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

2024

Law of the Weakest Link: Cross Capabilities of Large Language Models.

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

CoRR, 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

Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression.

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

Proceedings of the Computer Vision - ECCV 2024, 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

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

Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals.

Simon Vandenhende, Dhruv Mahajan, Filip Radenovic, Deepti Ghadiyaram

Proceedings of the Computer Vision - ECCV 2022, 2022

Revisiting Weakly Supervised Pre-Training of Visual Perception Models.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Adaptive Methods for Aggregated Domain Generalization.

Xavier Thomas, Dhruv Mahajan, Alex Pentland, Abhimanyu Dubey

CoRR, 2021

Large-Scale Attribute-Object Compositions.

Filip Radenovic, Animesh Sinha, Albert Gordo, Tamara L. Berg, Dhruv Mahajan

CoRR, 2021

PreDet: Large-scale weakly supervised pre-training for detection.

Vignesh Ramanathan, Rui Wang, Dhruv Mahajan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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

Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency.

Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan L. Yuille, Zhenheng Yang

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

2020

Self-Supervised Learning by Cross-Modal Audio-Video Clustering.

Humam Alwassel, Dhruv Mahajan, Bruno Korbar, Lorenzo Torresani, Bernard Ghanem, Du Tran

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

What Leads to Generalization of Object Proposals?

Rui Wang, Dhruv Mahajan, Vignesh Ramanathan

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality.

Zhenqiang Ying, Haoran Niu, Praful Gupta, Dhruv Mahajan, Deepti Ghadiyaram, Alan C. Bovik

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

ClusterFit: Improving Generalization of Visual Representations.

Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias.

Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data.

Vignesh Ramanathan, Rui Wang, Dhruv Mahajan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Measuring Dataset Granularity.

Yin Cui, Zeqi Gu, Dhruv Mahajan, Laurens van der Maaten, Serge J. Belongie, Ser-Nam Lim

CoRR, 2019

Self-Supervised Learning by Cross-Modal Audio-Video Clustering.

Humam Alwassel, Dhruv Mahajan, Lorenzo Torresani, Bernard Ghanem, Du Tran

CoRR, 2019

Large-scale weakly-supervised pre-training for video action recognition.

Deepti Ghadiyaram, Matt Feiszli, Du Tran, Xueting Yan, Heng Wang, Dhruv Mahajan

CoRR, 2019

Billion-scale semi-supervised learning for image classification.

I. Zeki Yalniz, Hervé Jégou, Kan Chen, Manohar Paluri, Dhruv Mahajan

CoRR, 2019

Scaling and Benchmarking Self-Supervised Visual Representation Learning.

Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Activity Driven Weakly Supervised Object Detection.

Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan

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

Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition.

Deepti Ghadiyaram, Du Tran, Dhruv Mahajan

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

Distributed Newton Methods for Deep Neural Networks.

Chien-Chih Wang, Kent Loong Tan, Chun-Ting Chen, Yu-Hsiang Lin, S. Sathiya Keerthi, Dhruv Mahajan, S. Sundararajan, Chih-Jen Lin

Neural Comput., 2018

An efficient distributed learning algorithm based on effective local functional approximations.

Dhruv Mahajan, Nikunj Agrawal, S. Sathiya Keerthi, Sundararajan Sellamanickam, Léon Bottou

J. Mach. Learn. Res., 2018

Exploring the Limits of Weakly Supervised Pretraining.

Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten

Proceedings of the Computer Vision - ECCV 2018, 2018

What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets.

De-An Huang, Vignesh Ramanathan, Dhruv Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, Juan Carlos Niebles

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Batch-Expansion Training: An Efficient Optimization Framework.

Michal Derezinski, Dhruv Mahajan, S. Sathiya Keerthi, S. V. N. Vishwanathan, Markus Weimer

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

A distributed block coordinate descent method for training l1 regularized linear classifiers.

Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan

J. Mach. Learn. Res., 2017

Towards Geo-Distributed Machine Learning.

Ignacio Cano, Markus Weimer, Dhruv Mahajan, Carlo Curino, Giovanni Matteo Fumarola, Arvind Krishnamurthy

IEEE Data Eng. Bull., 2017

Efficient Estimation of Generalization Error and Bias-Variance Components of Ensembles.

Dhruv Mahajan, Vivek Gupta, S. Sathiya Keerthi, Sundararajan Sellamanickam, Shravan Narayanamurthy, Rahul Kidambi

CoRR, 2017

Batch-Expansion Training: An Efficient Optimization Paradigm for Machine Learning.

Michal Derezinski, Dhruv Mahajan, S. Sathiya Keerthi, S. V. N. Vishwanathan, Markus Weimer

CoRR, 2017

Gradient Boosted Decision Trees for High Dimensional Sparse Output.

Si Si, Huan Zhang, S. Sathiya Keerthi, Dhruv Mahajan, Inderjit S. Dhillon, Cho-Jui Hsieh

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Towards Geo-Distributed Machine Learning.

Ignacio Cano, Markus Weimer, Dhruv Mahajan, Carlo Curino, Giovanni Matteo Fumarola

CoRR, 2016

Hashtag Recommendation for Enterprise Applications.

Dhruv Mahajan, Vishwajit Kolathur, Chetan Bansal, Suresh Parthasarathy, Sundararajan Sellamanickam, S. Sathiya Keerthi, Johannes Gehrke

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2014

A distributed block coordinate descent method for training $l_1$ regularized linear classifiers.

Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan

CoRR, 2014

A Distributed Algorithm for Training Nonlinear Kernel Machines.

Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan

CoRR, 2014

Cluster Canonical Correlation Analysis.

Nikhil Rasiwasia, Dhruv Mahajan, Vijay Mahadevan, Gaurav Aggarwal

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

A Parallel SGD method with Strong Convergence.

Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou

CoRR, 2013

A Functional Approximation Based Distributed Learning Algorithm.

Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou

CoRR, 2013

2012

A unified approach to learning task-specific bit vector representations for fast nearest neighbor search.

Vinod Nair, Dhruv Kumar Mahajan, Sundararajan Sellamanickam

Proceedings of the 21st World Wide Web Conference 2012, 2012

Learning hierarchical similarity metrics.

Nakul Verma, Dhruv Mahajan, Sundararajan Sellamanickam, Vinod Nair

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

LogUCB: an explore-exploit algorithm for comments recommendation.

Dhruv Kumar Mahajan, Rajeev Rastogi, Charu Tiwari, Adway Mitra

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

A classification based framework for concept summarization.

Dhruv Kumar Mahajan, Sundararajan Sellamanickam, Subhajit Sanyal, Amit Madaan

Proceedings of the 20th International Conference on World Wide Web, 2011

A joint learning framework for attribute models and object descriptions.

Dhruv Kumar Mahajan, Sundararajan Sellamanickam, Vinod Nair

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

Image classification using the web graph.

Dhruv Kumar Mahajan, Malcolm Slaney

Proceedings of the 18th International Conference on Multimedia 2010, 2010

2009

Compressive light transport sensing.

Pieter Peers, Dhruv Mahajan, Bruce Lamond, Abhijeet Ghosh, Wojciech Matusik, Ravi Ramamoorthi, Paul E. Debevec

ACM Trans. Graph., 2009

Moving gradients: a path-based method for plausible image interpolation.

Dhruv Mahajan, Fu-Chung Huang, Wojciech Matusik, Ravi Ramamoorthi, Peter N. Belhumeur

ACM Trans. Graph., 2009

2008

A Theory Of Frequency Domain Invariants: Spherical Harmonic Identities for BRDF/Lighting Transfer and Image Consistency.

Dhruv Mahajan, Ravi Ramamoorthi, Brian Curless

IEEE Trans. Pattern Anal. Mach. Intell., 2008

An Analysis of the In-Out BRDF Factorization for View-Dependent Relighting.

Dhruv Mahajan, Yu-Ting Tseng, Ravi Ramamoorthi

Comput. Graph. Forum, 2008

2007

A first-order analysis of lighting, shading, and shadows.

Ravi Ramamoorthi, Dhruv Mahajan, Peter N. Belhumeur

ACM Trans. Graph., 2007

A theory of locally low dimensional light transport.

Dhruv Mahajan, Ira Kemelmacher-Shlizerman, Ravi Ramamoorthi, Peter N. Belhumeur

ACM Trans. Graph., 2007

2006

A Theory of Spherical Harmonic Identities for BRDF/Lighting Transfer and Image Consistency.

Dhruv Mahajan, Ravi Ramamoorthi, Brian Curless

Proceedings of the Computer Vision, 2006

2004

A Framework for Activity Recognition and Detection of Unusual Activities.

Dhruv Mahajan, Nipun Kwatra, Sumit Jain, Prem Kalra, Subhashis Banerjee

Proceedings of the ICVGIP 2004, 2004