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What leads to generalization of object proposals?

Aug 13, 2020
Rui Wang, Dhruv Mahajan, Vignesh Ramanathan


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

Jan 09, 2020
Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram


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Measuring Dataset Granularity

Dec 21, 2019
Yin Cui, Zeqi Gu, Dhruv Mahajan, Laurens van der Maaten, Serge Belongie, Ser-Nam Lim

* Code is available at: https://github.com/richardaecn/dataset-granularity 

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

Dec 20, 2019
Zhenqiang Ying, Haoran Niu, Praful Gupta, Dhruv Mahajan, Deepti Ghadiyaram, Alan Bovik


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ClusterFit: Improving Generalization of Visual Representations

Dec 06, 2019
Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan


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

Nov 28, 2019
Humam Alwassel, Dhruv Mahajan, Lorenzo Torresani, Bernard Ghanem, Du Tran


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Scaling and Benchmarking Self-Supervised Visual Representation Learning

Jun 06, 2019
Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra


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

May 02, 2019
Deepti Ghadiyaram, Matt Feiszli, Du Tran, Xueting Yan, Heng Wang, Dhruv Mahajan


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Billion-scale semi-supervised learning for image classification

May 02, 2019
I. Zeki Yalniz, Hervé Jégou, Kan Chen, Manohar Paluri, Dhruv Mahajan


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Activity Driven Weakly Supervised Object Detection

Apr 02, 2019
Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan

* CVPR'19 camera ready 

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Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search

Mar 05, 2019
Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan

* CVPR 2019 Oral presentation; camera-ready with supplement (14 pages) 

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Exploring the Limits of Weakly Supervised Pretraining

May 02, 2018
Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten

* Technical report 

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Batch-Expansion Training: An Efficient Optimization Framework

Feb 23, 2018
Michał Dereziński, Dhruv Mahajan, S. Sathiya Keerthi, S. V. N. Vishwanathan, Markus Weimer


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Distributed Newton Methods for Deep Neural Networks

Feb 01, 2018
Chien-Chih Wang, Kent Loong Tan, Chun-Ting Chen, Yu-Hsiang Lin, S. Sathiya Keerthi, Dhruv Mahajan, S. Sundararajan, Chih-Jen Lin

* Supplementary materials and experimental code are available at https://www.csie.ntu.edu.tw/~cjlin/papers/dnn 

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

Nov 15, 2017
Dhruv Mahajan, Vivek Gupta, S Sathiya Keerthi, Sellamanickam Sundararajan, Shravan Narayanamurthy, Rahul Kidambi

* 12 Pages, 4 Figures, 12 Pages, Under Review in SDM 2018 

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Towards Geo-Distributed Machine Learning

Mar 30, 2016
Ignacio Cano, Markus Weimer, Dhruv Mahajan, Carlo Curino, Giovanni Matteo Fumarola


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

Mar 16, 2015
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan


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An efficient distributed learning algorithm based on effective local functional approximations

Mar 16, 2015
Dhruv Mahajan, Nikunj Agrawal, S. Sathiya Keerthi, S. Sundararajan, Leon Bottou


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A Distributed Algorithm for Training Nonlinear Kernel Machines

May 18, 2014
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan


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A Parallel SGD method with Strong Convergence

Nov 04, 2013
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Leon Bottou


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