Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval
Sachin Yadav, Deepak Saini, Anirudh Buvanesh, Bhawna Paliwal, Kunal Dahiya, Siddarth Asokan, Yashoteja Prabhu, Jian Jiao, Manik Varma
KDD 2024 | August 2024
Publications
Publications by Year
-
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
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
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
-
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
KDD 2023 | August 2023
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 | July 2023
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
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
-
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
-
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
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
ICML 2021 | July 2021
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
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
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
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
-
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference
Oindrila Saha, Venkata Aditya Kusupati, Harsha Simhadri, Manik Varma, Prateek Jain
NeurIPS 2020 | November 2020
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
-
Extreme Classification
Communications of the ACM | November 2019, Vol 62(11): pp. 44-45
One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification
Dhrubojyoti Roy, S. Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, A. Arora
ACM Transactions on Sensor Networks | September 2019
Slice: Scalable Linear Extreme Classifiers trained on 100 Million Labels for Related Searches
Himanshu Jain, Venkatesh Balasubramanian, Bhanu Chunduri, Manik Varma
WSDM ’19 | February 2019
Best Paper Award
-
Extreme Classification
Samy Bengio, Krzysztof Dembczyński, Thorsten Joachims, Marius Kloft, Manik Varma
Report from Dagstuhl Seminar 18291 | July 2018
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
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
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
-
Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things
Ashish Kumar, Saurabh Goyal, Manik Varma
ICML 2017 | May 2017
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
-
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
A Statistical Approach To Material Classification Using Image Patch Exemplars
Manik Varma, Andrew Zisserman
IEEE Transactions on Pattern Analysis and Machine Intelligence | January 2016
-
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
-
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
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
FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning
ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014
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
-
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
-
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
-
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
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
-
Multiple kernels for object detection
Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew Zisserman
International Conference on Computer Vision, Kyoto, Japan, | September 2009
More Generality in Efficient Multiple Kernel Learning
Manik Varma, B. R. Babu
Proceedings of the International Conference on Machine Learning | June 2009
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
-
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
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
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
-
Unifying Statistical Texture Classification Frameworks
M. Varma, A. Zisserman, Manik Varma
Image and Vision Computing | December 2004, Vol 22(14): pp. 1175-1183
Statistical Approaches To Texture Classification
October 2004
October 2004
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
-
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
-
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
Publications by Research Area
-
Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval
Sachin Yadav, Deepak Saini, Anirudh Buvanesh, Bhawna Paliwal, Kunal Dahiya, Siddarth Asokan, Yashoteja Prabhu, Jian Jiao, Manik Varma
KDD 2024 | August 2024
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
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
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
KDD 2023 | August 2023
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 | July 2023
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
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
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
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
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
ICML 2021 | July 2021
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
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
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference
Oindrila Saha, Venkata Aditya Kusupati, Harsha Simhadri, Manik Varma, Prateek Jain
NeurIPS 2020 | November 2020
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
Extreme Classification
Communications of the ACM | November 2019, Vol 62(11): pp. 44-45
One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification
Dhrubojyoti Roy, S. Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, A. Arora
ACM Transactions on Sensor Networks | September 2019
Extreme Classification
Samy Bengio, Krzysztof Dembczyński, Thorsten Joachims, Marius Kloft, Manik Varma
Report from Dagstuhl Seminar 18291 | July 2018
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
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
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
Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things
Ashish Kumar, Saurabh Goyal, Manik Varma
ICML 2017 | May 2017
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
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
A Statistical Approach To Material Classification Using Image Patch Exemplars
Manik Varma, Andrew Zisserman
IEEE Transactions on Pattern Analysis and Machine Intelligence | January 2016
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
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
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
FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning
ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014
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
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
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
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
Multiple kernels for object detection
Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew Zisserman
International Conference on Computer Vision, Kyoto, Japan, | September 2009
More Generality in Efficient Multiple Kernel Learning
Manik Varma, B. R. Babu
Proceedings of the International Conference on Machine Learning | June 2009
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
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
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
-
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
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
KDD 2023 | August 2023
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 | July 2023
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
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
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
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
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
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
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
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
One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification
Dhrubojyoti Roy, S. Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, A. Arora
ACM Transactions on Sensor Networks | September 2019
Extreme Classification
Samy Bengio, Krzysztof Dembczyński, Thorsten Joachims, Marius Kloft, Manik Varma
Report from Dagstuhl Seminar 18291 | July 2018
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
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
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
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
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
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
-
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference
Oindrila Saha, Venkata Aditya Kusupati, Harsha Simhadri, Manik Varma, Prateek Jain
NeurIPS 2020 | November 2020
Extreme Classification
Samy Bengio, Krzysztof Dembczyński, Thorsten Joachims, Marius Kloft, Manik Varma
Report from Dagstuhl Seminar 18291 | July 2018
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
-
Extreme Classification
Samy Bengio, Krzysztof Dembczyński, Thorsten Joachims, Marius Kloft, Manik Varma
Report from Dagstuhl Seminar 18291 | July 2018
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
-
Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval
Sachin Yadav, Deepak Saini, Anirudh Buvanesh, Bhawna Paliwal, Kunal Dahiya, Siddarth Asokan, Yashoteja Prabhu, Jian Jiao, Manik Varma
KDD 2024 | August 2024
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
FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning
ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014
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
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
-
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
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
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
KDD 2023 | August 2023
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 | July 2023
Slice: Scalable Linear Extreme Classifiers trained on 100 Million Labels for Related Searches
Himanshu Jain, Venkatesh Balasubramanian, Bhanu Chunduri, Manik Varma
WSDM ’19 | February 2019
Best Paper Award
-
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
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
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
-
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
-
A Statistical Approach To Material Classification Using Image Patch Exemplars
Manik Varma, Andrew Zisserman
IEEE Transactions on Pattern Analysis and Machine Intelligence | January 2016
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
Statistical Approaches To Texture Classification
October 2004
October 2004
-
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
-
Unifying Statistical Texture Classification Frameworks
M. Varma, A. Zisserman, Manik Varma
Image and Vision Computing | December 2004, Vol 22(14): pp. 1175-1183
Publications by Type
-
Extreme Classification
Communications of the ACM | November 2019, Vol 62(11): pp. 44-45
One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification
Dhrubojyoti Roy, S. Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, A. Arora
ACM Transactions on Sensor Networks | September 2019
A Statistical Approach To Material Classification Using Image Patch Exemplars
Manik Varma, Andrew Zisserman
IEEE Transactions on Pattern Analysis and Machine Intelligence | January 2016
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
Unifying Statistical Texture Classification Frameworks
M. Varma, A. Zisserman, Manik Varma
Image and Vision Computing | December 2004, Vol 22(14): pp. 1175-1183
-
Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval
Sachin Yadav, Deepak Saini, Anirudh Buvanesh, Bhawna Paliwal, Kunal Dahiya, Siddarth Asokan, Yashoteja Prabhu, Jian Jiao, Manik Varma
KDD 2024 | August 2024
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
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
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
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
KDD 2023 | August 2023
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 | July 2023
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
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
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
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
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
ICML 2021 | July 2021
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
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
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
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
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference
Oindrila Saha, Venkata Aditya Kusupati, Harsha Simhadri, Manik Varma, Prateek Jain
NeurIPS 2020 | November 2020
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
Slice: Scalable Linear Extreme Classifiers trained on 100 Million Labels for Related Searches
Himanshu Jain, Venkatesh Balasubramanian, Bhanu Chunduri, Manik Varma
WSDM ’19 | February 2019
Best Paper Award
Extreme Classification
Samy Bengio, Krzysztof Dembczyński, Thorsten Joachims, Marius Kloft, Manik Varma
Report from Dagstuhl Seminar 18291 | July 2018
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
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
Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things
Ashish Kumar, Saurabh Goyal, Manik Varma
ICML 2017 | May 2017
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
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
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
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
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
FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning
ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014
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
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
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
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
Multiple kernels for object detection
Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew Zisserman
International Conference on Computer Vision, Kyoto, Japan, | September 2009
More Generality in Efficient Multiple Kernel Learning
Manik Varma, B. R. Babu
Proceedings of the International Conference on Machine Learning | June 2009
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
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
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
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
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
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
-
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
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
-
Statistical Approaches To Texture Classification
October 2004
October 2004