A Framework for Activity Recognition and Detection of Unusual Activities. - Dhruv Mahajan 001; Nipun Kwatra; Sumit Jain; Prem Kalra; Subhashis Banerjee (ICVGIP, 2004)

A Theory of Spherical Harmonic Identities for BRDF/Lighting Transfer and Image Consistency. - Dhruv Mahajan 001; Ravi Ramamoorthi; Brian Curless (ECCV (4), 2006)

A theory of locally low dimensional light transport. - Dhruv Mahajan 001; Ira Kemelmacher-Shlizerman; Ravi Ramamoorthi; Peter N. Belhumeur (ACM Trans. Graph., 2007)

A first-order analysis of lighting, shading, and shadows. - Ravi Ramamoorthi; Dhruv Mahajan 001; Peter N. Belhumeur (ACM Trans. Graph., 2007)

An Analysis of the In-Out BRDF Factorization for View-Dependent Relighting. - Dhruv Mahajan 001; Yu-Ting Tseng; Ravi Ramamoorthi (Comput. Graph. Forum, 2008)

A Theory Of Frequency Domain Invariants: Spherical Harmonic Identities for BRDF/Lighting Transfer and Image Consistency. - Dhruv Mahajan 001; Ravi Ramamoorthi; Brian Curless (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Moving gradients: a path-based method for plausible image interpolation. - Dhruv Mahajan 001; Fu-Chung Huang; Wojciech Matusik; Ravi Ramamoorthi; Peter N. Belhumeur (ACM Trans. Graph., 2009)

Compressive light transport sensing. - Pieter Peers; Dhruv Mahajan 001; Bruce Lamond; Abhijeet Ghosh; Wojciech Matusik; Ravi Ramamoorthi; Paul E. Debevec (ACM Trans. Graph., 2009)

Image classification using the web graph. - Dhruv Kumar Mahajan; Malcolm Slaney (ACM Multimedia, 2010)

A joint learning framework for attribute models and object descriptions. - Dhruv Kumar Mahajan; Sundararajan Sellamanickam; Vinod Nair (ICCV, 2011)

A classification based framework for concept summarization. - Dhruv Kumar Mahajan; Sundararajan Sellamanickam; Subhajit Sanyal; Amit Madaan (WWW (Companion Volume), 2011)

LogUCB: an explore-exploit algorithm for comments recommendation. - Dhruv Kumar Mahajan; Rajeev Rastogi; Charu Tiwari; Adway Mitra (CIKM, 2012)

Learning hierarchical similarity metrics. - Nakul Verma; Dhruv Mahajan 001; Sundararajan Sellamanickam; Vinod Nair (CVPR, 2012)

A unified approach to learning task-specific bit vector representations for fast nearest neighbor search. - Vinod Nair; Dhruv Kumar Mahajan; Sundararajan Sellamanickam (WWW, 2012)

A Functional Approximation Based Distributed Learning Algorithm. - Dhruv Mahajan 001; S. Sathiya Keerthi; S. Sundararajan; Léon Bottou (CoRR, 2013)

A Parallel SGD method with Strong Convergence. - Dhruv Mahajan 001; S. Sathiya Keerthi; S. Sundararajan; Léon Bottou (CoRR, 2013)

Cluster Canonical Correlation Analysis. - Nikhil Rasiwasia; Dhruv Mahajan 001; Vijay Mahadevan; Gaurav Aggarwal (AISTATS, 2014)

A Distributed Algorithm for Training Nonlinear Kernel Machines. - Dhruv Mahajan 001; S. Sathiya Keerthi; S. Sundararajan (CoRR, 2014)

A distributed block coordinate descent method for training $l_1$ regularized linear classifiers. - Dhruv Mahajan 001; S. Sathiya Keerthi; S. Sundararajan (CoRR, 2014)

Hashtag Recommendation for Enterprise Applications. - Dhruv Mahajan 001; Vishwajit Kolathur; Chetan Bansal; Suresh Parthasarathy; Sundararajan Sellamanickam; S. Sathiya Keerthi; Johannes Gehrke (CIKM, 2016)

Towards Geo-Distributed Machine Learning. - Ignacio Cano 001; Markus Weimer; Dhruv Mahajan 001; Carlo Curino; Giovanni Matteo Fumarola (CoRR, 2016)

Gradient Boosted Decision Trees for High Dimensional Sparse Output. - Si Si; Huan Zhang 001; S. Sathiya Keerthi; Dhruv Mahajan 001; Inderjit S. Dhillon; Cho-Jui Hsieh (ICML, 2017)

Batch-Expansion Training: An Efficient Optimization Paradigm for Machine Learning. - Michal Derezinski; Dhruv Mahajan 001; S. Sathiya Keerthi; S. V. N. Vishwanathan; Markus Weimer (CoRR, 2017)

Efficient Estimation of Generalization Error and Bias-Variance Components of Ensembles. - Dhruv Mahajan 001; Vivek Gupta 001; S. Sathiya Keerthi; Sundararajan Sellamanickam; Shravan Narayanamurthy; Rahul Kidambi (CoRR, 2017)

Towards Geo-Distributed Machine Learning. - Ignacio Cano 001; Markus Weimer; Dhruv Mahajan 001; Carlo Curino; Giovanni Matteo Fumarola; Arvind Krishnamurthy (IEEE Data Eng. Bull., 2017)

A distributed block coordinate descent method for training l1 regularized linear classifiers. - Dhruv Mahajan 001; S. Sathiya Keerthi; S. Sundararajan (J. Mach. Learn. Res., 2017)

Batch-Expansion Training: An Efficient Optimization Framework. - Michal Derezinski; Dhruv Mahajan 001; S. Sathiya Keerthi; S. V. N. Vishwanathan; Markus Weimer (AISTATS, 2018)

What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets. - De-An Huang; Vignesh Ramanathan; Dhruv Mahajan 001; Lorenzo Torresani; Manohar Paluri; Li Fei-Fei 001; Juan Carlos Niebles (CVPR, 2018)

Exploring the Limits of Weakly Supervised Pretraining. - Dhruv Mahajan 001; Ross B. Girshick; Vignesh Ramanathan; Kaiming He; Manohar Paluri; Yixuan Li 001; Ashwin Bharambe; Laurens van der Maaten (ECCV (2), 2018)

An efficient distributed learning algorithm based on effective local functional approximations. - Dhruv Mahajan 001; Nikunj Agrawal; S. Sathiya Keerthi; Sundararajan Sellamanickam; Léon Bottou (J. Mach. Learn. Res., 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 001; S. Sundararajan; Chih-Jen Lin (Neural Comput., 2018)

Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search. - Abhimanyu Dubey; Laurens van der Maaten; Zeki Yalniz; Yixuan Li 001; Dhruv Mahajan 001 (CVPR, 2019)

Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition. - Deepti Ghadiyaram; Du Tran; Dhruv Mahajan 001 (CVPR, 2019)

Activity Driven Weakly Supervised Object Detection. - Zhenheng Yang; Dhruv Mahajan 001; Deepti Ghadiyaram; Ram Nevatia; Vignesh Ramanathan (CVPR, 2019)

Scaling and Benchmarking Self-Supervised Visual Representation Learning. - Priya Goyal; Dhruv Mahajan 001; Abhinav Gupta 001; Ishan Misra (ICCV, 2019)

Billion-scale semi-supervised learning for image classification. - I. Zeki Yalniz; Hervé Jégou; Kan Chen; Manohar Paluri; Dhruv Mahajan 001 (CoRR, 2019)

Large-scale weakly-supervised pre-training for video action recognition. - Deepti Ghadiyaram; Matt Feiszli; Du Tran; Xueting Yan; Heng Wang; Dhruv Mahajan 001 (CoRR, 2019)

Self-Supervised Learning by Cross-Modal Audio-Video Clustering. - Humam Alwassel; Dhruv Mahajan 001; Lorenzo Torresani; Bernard Ghanem; Du Tran (CoRR, 2019)

Measuring Dataset Granularity. - Yin Cui; Zeqi Gu; Dhruv Mahajan 001; Laurens van der Maaten; Serge J. Belongie; Ser-Nam Lim (CoRR, 2019)

DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data. - Vignesh Ramanathan; Rui Wang 067; Dhruv Mahajan 001 (CVPR, 2020)

Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. - Krishna Kumar Singh; Dhruv Mahajan 001; Kristen Grauman; Yong Jae Lee; Matt Feiszli; Deepti Ghadiyaram (CVPR, 2020)

ClusterFit: Improving Generalization of Visual Representations. - Xueting Yan; Ishan Misra; Abhinav Gupta 001; Deepti Ghadiyaram; Dhruv Mahajan 001 (CVPR, 2020)

From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality. - Zhenqiang Ying; Haoran Niu; Praful Gupta; Dhruv Mahajan 001; Deepti Ghadiyaram; Alan C. Bovik (CVPR, 2020)

What Leads to Generalization of Object Proposals? - Rui Wang 067; Dhruv Mahajan 001; Vignesh Ramanathan (ECCV Workshops (2), 2020)

Self-Supervised Learning by Cross-Modal Audio-Video Clustering. - Humam Alwassel; Dhruv Mahajan 001; Bruno Korbar; Lorenzo Torresani; Bernard Ghanem; Du Tran (NeurIPS, 2020)

Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency. - Qing Liu 017; Vignesh Ramanathan; Dhruv Mahajan 001; Alan L. Yuille; Zhenheng Yang (CVPR, 2021)

Adaptive Methods for Real-World Domain Generalization. - Abhimanyu Dubey; Vignesh Ramanathan; Alex Pentland; Dhruv Mahajan 001 (CVPR, 2021)

PreDet: Large-scale weakly supervised pre-training for detection. - Vignesh Ramanathan; Rui Wang 067; Dhruv Mahajan 001 (ICCV, 2021)

Large-Scale Attribute-Object Compositions. - Filip Radenovic; Animesh Sinha; Albert Gordo; Tamara L. Berg; Dhruv Mahajan 001 (CoRR, 2021)

Adaptive Methods for Aggregated Domain Generalization. - Xavier Thomas; Dhruv Mahajan 001; Alex Pentland; Abhimanyu Dubey (CoRR, 2021)

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 001; Ross B. Girshick; Piotr Dollár; Laurens van der Maaten (CVPR, 2022)

Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals. - Simon Vandenhende; Dhruv Mahajan 001; Filip Radenovic; Deepti Ghadiyaram (ECCV (12), 2022)

Scalable Interpretability via Polynomials. - Abhimanyu Dubey; Filip Radenovic; Dhruv Mahajan 001 (NeurIPS, 2022)

Neural Basis Models for Interpretability. - Filip Radenovic; Abhimanyu Dubey; Dhruv Mahajan 001 (NeurIPS, 2022)

Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. - Filip Radenovic; Abhimanyu Dubey; Abhishek Kadian; Todor Mihaylov; Simon Vandenhende; Yash Patel; Yi Wen 006; Vignesh Ramanathan; Dhruv Mahajan 001 (CVPR, 2023)

PACO: Parts and Attributes of Common Objects. - Vignesh Ramanathan; Anmol Kalia; Vladan Petrovic; Yi Wen 006; Baixue Zheng; Baishan Guo; Rui Wang 067; Aaron Marquez; Rama Kovvuri; Abhishek Kadian; Amir Mousavi; Yiwen Song; et al. (CVPR, 2023)

Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack. - Xiaoliang Dai; Ji Hou; Chih-Yao Ma; Sam S. Tsai; Jialiang Wang 001; Rui Wang 067; Peizhao Zhang; Simon Vandenhende; Xiaofang Wang; Abhimanyu Dubey; Matthew Yu; Abhishek Kadian; et al. (CoRR, 2023)

Context Diffusion: In-Context Aware Image Generation. - Ivona Najdenkoska; Animesh Sinha; Abhimanyu Dubey; Dhruv Mahajan 001; Vignesh Ramanathan; Filip Radenovic (ECCV (77), 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; et al. (ECCV (70), 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; et al. (CoRR, 2024)

Law of the Weakest Link: Cross Capabilities of Large Language Models. - Ming Zhong 005; Aston Zhang; Xuewei Wang; Rui Hou; Wenhan Xiong; Chenguang Zhu 001; Zhengxing Chen; Liang Tan; Chloe Bi; Mike Lewis; Sravya Popuri; Sharan Narang; et al. (ICLR, 2025)

A Systematic Examination of Preference Learning through the Lens of Instruction-Following. - Joongwon Kim; Anirudh Goyal; Aston Zhang; Bo Xiong; Rui Hou; Melanie Kambadur; Dhruv Mahajan 001; Hannaneh Hajishirzi; Liang Tan (NAACL (Long Papers), 2025)

Self-Generated Critiques Boost Reward Modeling for Language Models. - Yue Yu; Zhengxing Chen; Aston Zhang; Liang Tan; Chenguang Zhu 001; Richard Yuanzhe Pang; Yundi Qian; Xuewei Wang; Suchin Gururangan; Chao Zhang; Melanie Kambadur; Dhruv Mahajan 001; et al. (NAACL (Long Papers), 2025)