Manik Varma

OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification

Shikhar Mohan, Deepak Saini, Anshul Mittal, Sayak Roy Chowdhury, Bhawna Paliwal, Jian Jiao, Manish Gupta, Manik Varma

2024 International Conference on Machine Learning | July 2024

Publication

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels

Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Zheng Liu, Mingqin Li, Chuanjie Liu, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang

2024 The Web Conference | May 2024

Publication

Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction

Anirudh Buvanesh, Rahul Chand, Jatin Prakash, Bhawna Paliwal, Mudit Dhawan, Neelabh Madan, Deepesh Hada, Vidit Jain, Sonu Mehta, Yashoteja Prabhu, Manish Gupta, Ramachandran Ramjee, Manik Varma (manik)

ICLR 2024 | April 2024

Publication Project

Deep encoders with auxiliary parameters for extreme classification

Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma

In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Long Beach, California | August 2023

Publication

Personalized retrieval over millions of items

Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma

In Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, Taiwan | July 2023

Publication

Renee: End-to-end training of extreme classification models

Vidit Jain, Jatin Prakash, Deepak Saini, Jian Jiao, Ramachandran Ramjee, Manik Varma

In Proceedings of the Conference on Machine Learning and Systems, Miami, Florida | June 2023

Publication Project

NGAME: Negative mining-aware mini-batching for extreme classification

K. Dahiya, N. Gupta, D. Saini (desaini), A. Soni, Y. Wang, K. Dave, J. Jiao, K. Gururaj, P. Dey, A. Singh, D. Hada, V. Jain, B. Paliwal, A. Mittal, S. Mehta, R. Ramjee, S. Agarwal, P. Kar, Manik Varma

ACM International Conference on Web Search and Data Mining, Singapore | March 2023

Publication

Multimodal extreme classification

Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma

IEEE/CVF Conference on Computer Vision and Pattern Recognition | June 2022

Publication

Generalized Zero-Shot Extreme Multi-label Learning

Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma

2021 Knowledge Discovery and Data Mining | August 2021

DOI Publication Project

SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels

Kunal Dahiya, Ananye Agarwal, Deepak Saini, Gururaj K, Jian Jiao, Amit Singh, Sumeet Agarwal, Purushottam Kar, Manik Varma

International Conference on Machine Learning | July 2021

Publication

ECLARE: Extreme classification with label graph correlations

Anshul Miital, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma

ACM International WWW Conference | April 2021

Publication

GalaXC: Graph neural networks with labelwise attention for extreme classification

Deepak Saini, Arnav Kumar Jain, Kushal Dave, Jian Jiao, Amit Singh, Ruofei Zhang, Manik Varma

ACM International World Wide Web Conference | April 2021

PDF

DECAF: Deep extreme classification with label features

Anshul Mittal , Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma

ACM International Conference on Web Search and Data Mining | March 2021

Publication

DeepXML: A deep extreme multi-Label learning framework applied to short text documents

Kunal Dahiya, Deepak Saini, Anshul Mittal, Kushal Dave, Himanshu Jain, Sumeet Agarwal, Manik Varma

ACM International Conference on Web Search and Data Mining | March 2021

Publication

One size does not fit all: Multi-scale, cascaded RNNs for radar classification

DHRUBOJYOTI ROY, SANGEETA SRIVASTAVA, ADITYA KUSUPATI, PRANSHU JAIN, Manik Varma, ANISH ARORA

ACM Transactions on Sensor Networks | January 2021

Publication

RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference

Oindrila Saha, Venkata Aditya Kusupati, Harsha Simhadri, Manik Varma, Prateek Jain

NeurIPS 2020 | November 2020

Publication

Extreme Regression for Dynamic Search Advertising

Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma

ACM International Conference on Web Search and Data Mining | February 2020

Publication Project

Slice: Scalable Linear Extreme Classifiers trained on 100 Million Labels for Related Searches

Himanshu Jain, Venkatesh Balasubramanian, Bhanu Chunduri, Manik Varma

WSDM ’19, February 11–15, 2019, Melbourne, VIC, Australia | February 2019

Best Paper Award at WSDM '19

PDF

GesturePod: Gesture-based Interaction Cane for People with Visual Impairments

Shishir Patil, Don Kurian Dennis, Chirag Pabbaraju, Nadeem Shaheer, Harsha Simhadri, Vivek Seshadri, Manik Varma, Prateek Jain

MSR-TR-2018-14 | May 2018

Published by Microsoft

Publication Project

Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising

Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma

ACM International WWW Conference | April 2018

Publication

Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation

Yashoteja Prabhu, Anil Kag, Shilpa Gopinath, Kunal Dahiya, Shrutendra Harsola, Rahul Agrawal, Manik Varma

ACM International Conference on Web Search and Data Mining | February 2018

Publication Publication Project

Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things

Ashish Kumar, Saurabh Goyal, Manik Varma

International Conference on Machine Learning | May 2017

Publication Project Project

ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices

Ankit Gupta, Chirag GuptaArun Sai Suggala, Ankit Gupta, Harsha Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain

International Conference on Machine Learning, Sydney | February 2017

Publication Project Project

Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications.

Himanshu Jain, Yashoteja Prabhu, Manik Varma

ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2016

Publication Project

A Statistical Approach To Material Classification Using Image Patch Exemplars

Manik Varma, Andrew Zisserman

IEEE Transactions on Pattern Analysis and Machine Intelligence | January 2016

Publication

Sparse Local Embeddings for Extreme Multi-label Classification

Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, Prateek Jain

Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS) | December 2015

Publication Publication

Active Learning for Sparse Bayesian Multilabel Classification

Deepak Vasisht, Andreas Damianou, Manik Varma, Ashish Kapoor

Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014

Publication Publication

Active learning for sparse Bayesian multi-label classification

Deepak Vasisht, Andreas Damianou, Manik Varma, Ashish Kapoor

ACM SIGKDD Conference on Knowledge Discovery and Data Mining, New York | August 2014

Publication

FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning

Yashoteja Prabhu, Manik Varma

ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014

Publication Publication Project

On p-norm path following in multiple kernel learning for non-linear feature selection

Pratik Jawanpuria, Manik Varma, J. Saketha Nath

International Conference on Machine Learning | June 2014

Publication Publication

Multi-label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages

Rahul Agrawal, Archit Gupta, Yashoteja Prabhu, Manik Varma

Proceedings of the International World Wide Web Conference | May 2013

Publication Project

SPG-GMKL: Generalized Multiple Kernel Learning with a Million Kernels

A. Jain, S. V. N. Vishwanathan, M. Varma, Manik Varma

Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2012

Publication

Multiple Kernel Learning and the SMO Algorithm

S. V. N. Vishwanathan, Z. Sun, N. Theera-Ampornpunt, M. Varma, Manik Varma

Advances in Neural Information Processing Systems | December 2010

Publication

Efficient Max-Margin Multi-Label Classification with Applications to Zero-Shot Learning

Bharath Hariharan, S.V. N. Vishwanathan, Manik Varma

MSR-TR-2010-141 | October 2010

Published by Microsoft

Publication

Multiple kernels for object detection

Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew Zisserman

International Conference on Computer Vision, Kyoto, Japan, | September 2009

Publication

More Generality in Efficient Multiple Kernel Learning

Manik Varma, B. R. Babu

Proceedings of the International Conference on Machine Learning | June 2009

Publication

Character recognition in natural images

T. E. de Campos, B. R. Babu, M. Varma, Manik Varma

Proceedings of the International Conference on Computer Vision Theory and Applications, Lisbon, Portugal | February 2009

Publication

Learning The Discriminative Power-Invariance Trade-Off

M. Varma, D. Ray, Manik Varma

Proceedings of the IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil | October 2007

Publication

Locally Invariant Fractal Features for Statistical Texture Classification

Manik Varma, Rahul Garg

Proceedings of the IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil | October 2007

Publication

Computer Aided Generation of Stylized Maps

N. Adabala, M. Varma, K. Toyama, Kentaro Toyama, Manik Varma, Neeharika Adabala

Computer Animation and Virtual Worlds | May 2007, Vol 18: pp. 133-140

Publication

Unifying Statistical Texture Classification Frameworks

M. Varma, A. Zisserman, Manik Varma

Image and Vision Computing | December 2004, Vol 22(14): pp. 1175-1183

Publication

Statistical Approaches To Texture Classification

Manik Varma

October 2004

October 2004

Publication

Estimating Illumination Direction from Textured Images

Manik Varma, A. Zisserman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Washington, DC | June 2004

Publication

Texture Classification: Are Filter Banks Necessary?

Manik Varma, Andrew Zisserman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Madison, Wisconsin | June 2003

Publication

Statistical Approaches to Material Classification

Manik Varma, Andrew Zisserman

Proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing, Ahmedabad, India | December 2002

Publication

OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification

Shikhar Mohan, Deepak Saini, Anshul Mittal, Sayak Roy Chowdhury, Bhawna Paliwal, Jian Jiao, Manish Gupta, Manik Varma

2024 International Conference on Machine Learning | July 2024

Publication

Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction

Anirudh Buvanesh, Rahul Chand, Jatin Prakash, Bhawna Paliwal, Mudit Dhawan, Neelabh Madan, Deepesh Hada, Vidit Jain, Sonu Mehta, Yashoteja Prabhu, Manish Gupta, Ramachandran Ramjee, Manik Varma (manik)

ICLR 2024 | April 2024

Publication Project

Deep encoders with auxiliary parameters for extreme classification

Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma

In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Long Beach, California | August 2023

Publication

Personalized retrieval over millions of items

Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma

In Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, Taiwan | July 2023

Publication

Renee: End-to-end training of extreme classification models

Vidit Jain, Jatin Prakash, Deepak Saini, Jian Jiao, Ramachandran Ramjee, Manik Varma

In Proceedings of the Conference on Machine Learning and Systems, Miami, Florida | June 2023

Publication Project

NGAME: Negative mining-aware mini-batching for extreme classification

K. Dahiya, N. Gupta, D. Saini (desaini), A. Soni, Y. Wang, K. Dave, J. Jiao, K. Gururaj, P. Dey, A. Singh, D. Hada, V. Jain, B. Paliwal, A. Mittal, S. Mehta, R. Ramjee, S. Agarwal, P. Kar, Manik Varma

ACM International Conference on Web Search and Data Mining, Singapore | March 2023

Publication

Multimodal extreme classification

Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma

IEEE/CVF Conference on Computer Vision and Pattern Recognition | June 2022

Publication

Generalized Zero-Shot Extreme Multi-label Learning

Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma

2021 Knowledge Discovery and Data Mining | August 2021

DOI Publication Project

SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels

Kunal Dahiya, Ananye Agarwal, Deepak Saini, Gururaj K, Jian Jiao, Amit Singh, Sumeet Agarwal, Purushottam Kar, Manik Varma

International Conference on Machine Learning | July 2021

Publication

GalaXC: Graph neural networks with labelwise attention for extreme classification

Deepak Saini, Arnav Kumar Jain, Kushal Dave, Jian Jiao, Amit Singh, Ruofei Zhang, Manik Varma

ACM International World Wide Web Conference | April 2021

PDF

DeepXML: A deep extreme multi-Label learning framework applied to short text documents

Kunal Dahiya, Deepak Saini, Anshul Mittal, Kushal Dave, Himanshu Jain, Sumeet Agarwal, Manik Varma

ACM International Conference on Web Search and Data Mining | March 2021

Publication

One size does not fit all: Multi-scale, cascaded RNNs for radar classification

DHRUBOJYOTI ROY, SANGEETA SRIVASTAVA, ADITYA KUSUPATI, PRANSHU JAIN, Manik Varma, ANISH ARORA

ACM Transactions on Sensor Networks | January 2021

Publication

RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference

Oindrila Saha, Venkata Aditya Kusupati, Harsha Simhadri, Manik Varma, Prateek Jain

NeurIPS 2020 | November 2020

Publication

Extreme Regression for Dynamic Search Advertising

Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma

ACM International Conference on Web Search and Data Mining | February 2020

Publication Project

GesturePod: Gesture-based Interaction Cane for People with Visual Impairments

Shishir Patil, Don Kurian Dennis, Chirag Pabbaraju, Nadeem Shaheer, Harsha Simhadri, Vivek Seshadri, Manik Varma, Prateek Jain

MSR-TR-2018-14 | May 2018

Published by Microsoft

Publication Project

Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising

Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma

ACM International WWW Conference | April 2018

Publication

Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation

Yashoteja Prabhu, Anil Kag, Shilpa Gopinath, Kunal Dahiya, Shrutendra Harsola, Rahul Agrawal, Manik Varma

ACM International Conference on Web Search and Data Mining | February 2018

Publication Publication Project

Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things

Ashish Kumar, Saurabh Goyal, Manik Varma

International Conference on Machine Learning | May 2017

Publication Project Project

ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices

Ankit Gupta, Chirag GuptaArun Sai Suggala, Ankit Gupta, Harsha Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain

International Conference on Machine Learning, Sydney | February 2017

Publication Project Project

Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications.

Himanshu Jain, Yashoteja Prabhu, Manik Varma

ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2016

Publication Project

A Statistical Approach To Material Classification Using Image Patch Exemplars

Manik Varma, Andrew Zisserman

IEEE Transactions on Pattern Analysis and Machine Intelligence | January 2016

Publication

Sparse Local Embeddings for Extreme Multi-label Classification

Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, Prateek Jain

Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS) | December 2015

Publication Publication

Active Learning for Sparse Bayesian Multilabel Classification

Deepak Vasisht, Andreas Damianou, Manik Varma, Ashish Kapoor

Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014

Publication Publication

Active learning for sparse Bayesian multi-label classification

Deepak Vasisht, Andreas Damianou, Manik Varma, Ashish Kapoor

ACM SIGKDD Conference on Knowledge Discovery and Data Mining, New York | August 2014

Publication

FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning

Yashoteja Prabhu, Manik Varma

ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014

Publication Publication Project

On p-norm path following in multiple kernel learning for non-linear feature selection

Pratik Jawanpuria, Manik Varma, J. Saketha Nath

International Conference on Machine Learning | June 2014

Publication Publication

Multi-label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages

Rahul Agrawal, Archit Gupta, Yashoteja Prabhu, Manik Varma

Proceedings of the International World Wide Web Conference | May 2013

Publication Project

SPG-GMKL: Generalized Multiple Kernel Learning with a Million Kernels

A. Jain, S. V. N. Vishwanathan, M. Varma, Manik Varma

Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2012

Publication

Multiple Kernel Learning and the SMO Algorithm

S. V. N. Vishwanathan, Z. Sun, N. Theera-Ampornpunt, M. Varma, Manik Varma

Advances in Neural Information Processing Systems | December 2010

Publication

Multiple kernels for object detection

Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew Zisserman

International Conference on Computer Vision, Kyoto, Japan, | September 2009

Publication

More Generality in Efficient Multiple Kernel Learning

Manik Varma, B. R. Babu

Proceedings of the International Conference on Machine Learning | June 2009

Publication

Character recognition in natural images

T. E. de Campos, B. R. Babu, M. Varma, Manik Varma

Proceedings of the International Conference on Computer Vision Theory and Applications, Lisbon, Portugal | February 2009

Publication

Learning The Discriminative Power-Invariance Trade-Off

M. Varma, D. Ray, Manik Varma

Proceedings of the IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil | October 2007

Publication

Locally Invariant Fractal Features for Statistical Texture Classification

Manik Varma, Rahul Garg

Proceedings of the IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil | October 2007

Publication

OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification

Shikhar Mohan, Deepak Saini, Anshul Mittal, Sayak Roy Chowdhury, Bhawna Paliwal, Jian Jiao, Manish Gupta, Manik Varma

2024 International Conference on Machine Learning | July 2024

Publication

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels

Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Zheng Liu, Mingqin Li, Chuanjie Liu, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang

2024 The Web Conference | May 2024

Publication

Deep encoders with auxiliary parameters for extreme classification

Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma

In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Long Beach, California | August 2023

Publication

Personalized retrieval over millions of items

Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma

In Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, Taiwan | July 2023

Publication

Slice: Scalable Linear Extreme Classifiers trained on 100 Million Labels for Related Searches

Himanshu Jain, Venkatesh Balasubramanian, Bhanu Chunduri, Manik Varma

WSDM ’19, February 11–15, 2019, Melbourne, VIC, Australia | February 2019

Best Paper Award at WSDM '19

PDF

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels

Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Zheng Liu, Mingqin Li, Chuanjie Liu, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang

2024 The Web Conference | May 2024

Publication

Learning The Discriminative Power-Invariance Trade-Off

M. Varma, D. Ray, Manik Varma

Proceedings of the IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil | October 2007

Publication

Estimating Illumination Direction from Textured Images

Manik Varma, A. Zisserman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Washington, DC | June 2004

Publication

Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction

Anirudh Buvanesh, Rahul Chand, Jatin Prakash, Bhawna Paliwal, Mudit Dhawan, Neelabh Madan, Deepesh Hada, Vidit Jain, Sonu Mehta, Yashoteja Prabhu, Manish Gupta, Ramachandran Ramjee, Manik Varma (manik)

ICLR 2024 | April 2024

Publication Project

Deep encoders with auxiliary parameters for extreme classification

Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma

In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Long Beach, California | August 2023

Publication

Personalized retrieval over millions of items

Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma

In Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, Taiwan | July 2023

Publication

Renee: End-to-end training of extreme classification models

Vidit Jain, Jatin Prakash, Deepak Saini, Jian Jiao, Ramachandran Ramjee, Manik Varma

In Proceedings of the Conference on Machine Learning and Systems, Miami, Florida | June 2023

Publication Project

NGAME: Negative mining-aware mini-batching for extreme classification

K. Dahiya, N. Gupta, D. Saini (desaini), A. Soni, Y. Wang, K. Dave, J. Jiao, K. Gururaj, P. Dey, A. Singh, D. Hada, V. Jain, B. Paliwal, A. Mittal, S. Mehta, R. Ramjee, S. Agarwal, P. Kar, Manik Varma

ACM International Conference on Web Search and Data Mining, Singapore | March 2023

Publication

Multimodal extreme classification

Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma

IEEE/CVF Conference on Computer Vision and Pattern Recognition | June 2022

Publication

Generalized Zero-Shot Extreme Multi-label Learning

Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma

2021 Knowledge Discovery and Data Mining | August 2021

DOI Publication Project

ECLARE: Extreme classification with label graph correlations

Anshul Miital, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma

ACM International WWW Conference | April 2021

Publication

DECAF: Deep extreme classification with label features

Anshul Mittal , Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma

ACM International Conference on Web Search and Data Mining | March 2021

Publication

DeepXML: A deep extreme multi-Label learning framework applied to short text documents

Kunal Dahiya, Deepak Saini, Anshul Mittal, Kushal Dave, Himanshu Jain, Sumeet Agarwal, Manik Varma

ACM International Conference on Web Search and Data Mining | March 2021

Publication

One size does not fit all: Multi-scale, cascaded RNNs for radar classification

DHRUBOJYOTI ROY, SANGEETA SRIVASTAVA, ADITYA KUSUPATI, PRANSHU JAIN, Manik Varma, ANISH ARORA

ACM Transactions on Sensor Networks | January 2021

Publication

Extreme Regression for Dynamic Search Advertising

Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma

ACM International Conference on Web Search and Data Mining | February 2020

Publication Project

Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising

Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma

ACM International WWW Conference | April 2018

Publication

Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications.

Himanshu Jain, Yashoteja Prabhu, Manik Varma

ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2016

Publication Project

Active learning for sparse Bayesian multi-label classification

Deepak Vasisht, Andreas Damianou, Manik Varma, Ashish Kapoor

ACM SIGKDD Conference on Knowledge Discovery and Data Mining, New York | August 2014

Publication

Multi-label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages

Rahul Agrawal, Archit Gupta, Yashoteja Prabhu, Manik Varma

Proceedings of the International World Wide Web Conference | May 2013

Publication Project

Efficient Max-Margin Multi-Label Classification with Applications to Zero-Shot Learning

Bharath Hariharan, S.V. N. Vishwanathan, Manik Varma

MSR-TR-2010-141 | October 2010

Published by Microsoft

Publication

Character recognition in natural images

T. E. de Campos, B. R. Babu, M. Varma, Manik Varma

Proceedings of the International Conference on Computer Vision Theory and Applications, Lisbon, Portugal | February 2009

Publication

RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference

Oindrila Saha, Venkata Aditya Kusupati, Harsha Simhadri, Manik Varma, Prateek Jain

NeurIPS 2020 | November 2020

Publication

Texture Classification: Are Filter Banks Necessary?

Manik Varma, Andrew Zisserman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Madison, Wisconsin | June 2003

Publication

Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising

Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma

ACM International WWW Conference | April 2018

Publication

FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning

Yashoteja Prabhu, Manik Varma

ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014

Publication Publication Project

Estimating Illumination Direction from Textured Images

Manik Varma, A. Zisserman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Washington, DC | June 2004

Publication

Statistical Approaches to Material Classification

Manik Varma, Andrew Zisserman

Proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing, Ahmedabad, India | December 2002

Publication

Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising

Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma

ACM International WWW Conference | April 2018

Publication

GesturePod: Gesture-based Interaction Cane for People with Visual Impairments

Shishir Patil, Don Kurian Dennis, Chirag Pabbaraju, Nadeem Shaheer, Harsha Simhadri, Vivek Seshadri, Manik Varma, Prateek Jain

MSR-TR-2018-14 | May 2018

Published by Microsoft

Publication Project

A Statistical Approach To Material Classification Using Image Patch Exemplars

Manik Varma, Andrew Zisserman

IEEE Transactions on Pattern Analysis and Machine Intelligence | January 2016

Publication

Locally Invariant Fractal Features for Statistical Texture Classification

Manik Varma, Rahul Garg

Proceedings of the IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil | October 2007

Publication

Statistical Approaches To Texture Classification

Manik Varma

October 2004

October 2004

Publication

Computer Aided Generation of Stylized Maps

N. Adabala, M. Varma, K. Toyama, Kentaro Toyama, Manik Varma, Neeharika Adabala

Computer Animation and Virtual Worlds | May 2007, Vol 18: pp. 133-140

Publication

Unifying Statistical Texture Classification Frameworks

M. Varma, A. Zisserman, Manik Varma

Image and Vision Computing | December 2004, Vol 22(14): pp. 1175-1183

Publication

OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification

Shikhar Mohan, Deepak Saini, Anshul Mittal, Sayak Roy Chowdhury, Bhawna Paliwal, Jian Jiao, Manish Gupta, Manik Varma

2024 International Conference on Machine Learning | July 2024

Publication

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels

Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Zheng Liu, Mingqin Li, Chuanjie Liu, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang

2024 The Web Conference | May 2024

Publication

Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction

Anirudh Buvanesh, Rahul Chand, Jatin Prakash, Bhawna Paliwal, Mudit Dhawan, Neelabh Madan, Deepesh Hada, Vidit Jain, Sonu Mehta, Yashoteja Prabhu, Manish Gupta, Ramachandran Ramjee, Manik Varma (manik)

ICLR 2024 | April 2024

Publication Project

Deep encoders with auxiliary parameters for extreme classification

Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma

In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Long Beach, California | August 2023

Publication

Personalized retrieval over millions of items

Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma

In Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, Taiwan | July 2023

Publication

Renee: End-to-end training of extreme classification models

Vidit Jain, Jatin Prakash, Deepak Saini, Jian Jiao, Ramachandran Ramjee, Manik Varma

In Proceedings of the Conference on Machine Learning and Systems, Miami, Florida | June 2023

Publication Project

NGAME: Negative mining-aware mini-batching for extreme classification

K. Dahiya, N. Gupta, D. Saini (desaini), A. Soni, Y. Wang, K. Dave, J. Jiao, K. Gururaj, P. Dey, A. Singh, D. Hada, V. Jain, B. Paliwal, A. Mittal, S. Mehta, R. Ramjee, S. Agarwal, P. Kar, Manik Varma

ACM International Conference on Web Search and Data Mining, Singapore | March 2023

Publication

Multimodal extreme classification

Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma

IEEE/CVF Conference on Computer Vision and Pattern Recognition | June 2022

Publication

Generalized Zero-Shot Extreme Multi-label Learning

Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma

2021 Knowledge Discovery and Data Mining | August 2021

DOI Publication Project

SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels

Kunal Dahiya, Ananye Agarwal, Deepak Saini, Gururaj K, Jian Jiao, Amit Singh, Sumeet Agarwal, Purushottam Kar, Manik Varma

International Conference on Machine Learning | July 2021

Publication

ECLARE: Extreme classification with label graph correlations

Anshul Miital, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma

ACM International WWW Conference | April 2021

Publication

GalaXC: Graph neural networks with labelwise attention for extreme classification

Deepak Saini, Arnav Kumar Jain, Kushal Dave, Jian Jiao, Amit Singh, Ruofei Zhang, Manik Varma

ACM International World Wide Web Conference | April 2021

PDF

DECAF: Deep extreme classification with label features

Anshul Mittal , Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma

ACM International Conference on Web Search and Data Mining | March 2021

Publication

DeepXML: A deep extreme multi-Label learning framework applied to short text documents

Kunal Dahiya, Deepak Saini, Anshul Mittal, Kushal Dave, Himanshu Jain, Sumeet Agarwal, Manik Varma

ACM International Conference on Web Search and Data Mining | March 2021

Publication

RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference

Oindrila Saha, Venkata Aditya Kusupati, Harsha Simhadri, Manik Varma, Prateek Jain

NeurIPS 2020 | November 2020

Publication

Extreme Regression for Dynamic Search Advertising

Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma

ACM International Conference on Web Search and Data Mining | February 2020

Publication Project

Slice: Scalable Linear Extreme Classifiers trained on 100 Million Labels for Related Searches

Himanshu Jain, Venkatesh Balasubramanian, Bhanu Chunduri, Manik Varma

WSDM ’19, February 11–15, 2019, Melbourne, VIC, Australia | February 2019

Best Paper Award at WSDM '19

PDF

Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising

Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma

ACM International WWW Conference | April 2018

Publication

Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation

Yashoteja Prabhu, Anil Kag, Shilpa Gopinath, Kunal Dahiya, Shrutendra Harsola, Rahul Agrawal, Manik Varma

ACM International Conference on Web Search and Data Mining | February 2018

Publication Publication Project

Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things

Ashish Kumar, Saurabh Goyal, Manik Varma

International Conference on Machine Learning | May 2017

Publication Project Project

ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices

Ankit Gupta, Chirag GuptaArun Sai Suggala, Ankit Gupta, Harsha Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain

International Conference on Machine Learning, Sydney | February 2017

Publication Project Project

Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications.

Himanshu Jain, Yashoteja Prabhu, Manik Varma

ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2016

Publication Project

Sparse Local Embeddings for Extreme Multi-label Classification

Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, Prateek Jain

Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS) | December 2015

Publication Publication

Active Learning for Sparse Bayesian Multilabel Classification

Deepak Vasisht, Andreas Damianou, Manik Varma, Ashish Kapoor

Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014

Publication Publication

Active learning for sparse Bayesian multi-label classification

Deepak Vasisht, Andreas Damianou, Manik Varma, Ashish Kapoor

ACM SIGKDD Conference on Knowledge Discovery and Data Mining, New York | August 2014

Publication

FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning

Yashoteja Prabhu, Manik Varma

ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014

Publication Publication Project

On p-norm path following in multiple kernel learning for non-linear feature selection

Pratik Jawanpuria, Manik Varma, J. Saketha Nath

International Conference on Machine Learning | June 2014

Publication Publication

Multi-label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages

Rahul Agrawal, Archit Gupta, Yashoteja Prabhu, Manik Varma

Proceedings of the International World Wide Web Conference | May 2013

Publication Project

SPG-GMKL: Generalized Multiple Kernel Learning with a Million Kernels

A. Jain, S. V. N. Vishwanathan, M. Varma, Manik Varma

Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2012

Publication

Multiple Kernel Learning and the SMO Algorithm

S. V. N. Vishwanathan, Z. Sun, N. Theera-Ampornpunt, M. Varma, Manik Varma

Advances in Neural Information Processing Systems | December 2010

Publication

Multiple kernels for object detection

Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew Zisserman

International Conference on Computer Vision, Kyoto, Japan, | September 2009

Publication

More Generality in Efficient Multiple Kernel Learning

Manik Varma, B. R. Babu

Proceedings of the International Conference on Machine Learning | June 2009

Publication

Character recognition in natural images

T. E. de Campos, B. R. Babu, M. Varma, Manik Varma

Proceedings of the International Conference on Computer Vision Theory and Applications, Lisbon, Portugal | February 2009

Publication

Learning The Discriminative Power-Invariance Trade-Off

M. Varma, D. Ray, Manik Varma

Proceedings of the IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil | October 2007

Publication

Locally Invariant Fractal Features for Statistical Texture Classification

Manik Varma, Rahul Garg

Proceedings of the IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil | October 2007

Publication

Estimating Illumination Direction from Textured Images

Manik Varma, A. Zisserman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Washington, DC | June 2004

Publication

Texture Classification: Are Filter Banks Necessary?

Manik Varma, Andrew Zisserman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Madison, Wisconsin | June 2003

Publication

Statistical Approaches to Material Classification

Manik Varma, Andrew Zisserman

Proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing, Ahmedabad, India | December 2002

Publication

One size does not fit all: Multi-scale, cascaded RNNs for radar classification

DHRUBOJYOTI ROY, SANGEETA SRIVASTAVA, ADITYA KUSUPATI, PRANSHU JAIN, Manik Varma, ANISH ARORA

ACM Transactions on Sensor Networks | January 2021

Publication

A Statistical Approach To Material Classification Using Image Patch Exemplars

Manik Varma, Andrew Zisserman

IEEE Transactions on Pattern Analysis and Machine Intelligence | January 2016

Publication

Computer Aided Generation of Stylized Maps

N. Adabala, M. Varma, K. Toyama, Kentaro Toyama, Manik Varma, Neeharika Adabala

Computer Animation and Virtual Worlds | May 2007, Vol 18: pp. 133-140

Publication

Unifying Statistical Texture Classification Frameworks

M. Varma, A. Zisserman, Manik Varma

Image and Vision Computing | December 2004, Vol 22(14): pp. 1175-1183

Publication

GesturePod: Gesture-based Interaction Cane for People with Visual Impairments

Shishir Patil, Don Kurian Dennis, Chirag Pabbaraju, Nadeem Shaheer, Harsha Simhadri, Vivek Seshadri, Manik Varma, Prateek Jain

MSR-TR-2018-14 | May 2018

Published by Microsoft

Publication Project

Efficient Max-Margin Multi-Label Classification with Applications to Zero-Shot Learning

Bharath Hariharan, S.V. N. Vishwanathan, Manik Varma

MSR-TR-2010-141 | October 2010

Published by Microsoft

Publication

Statistical Approaches To Texture Classification

Manik Varma

October 2004

October 2004

Publication