Manik Varma

According to our database, Manik Varma authored at least 60 papers between 2002 and 2024.

Collaborative distances:

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

2024

ASTRA: Accurate and Scalable ANNS-based Training of Extreme Classifiers.

Sonu Mehta, Jayashree Mohan, Nagarajan Natarajan, Ramachandran Ramjee, Manik Varma

CoRR, 2024

CROSS-JEM: Accurate and Efficient Cross-encoders for Short-text Ranking Tasks.

Bhawna Paliwal, Deepak Saini, Mudit Dhawan, Siddarth Asokan, Nagarajan Natarajan, Surbhi Aggarwal, Pankaj Malhotra, Jian Jiao, Manik Varma

CoRR, 2024

On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification.

Jatin Prakash, Anirudh Buvanesh, Bishal Santra, Deepak Saini, Sachin Yadav, Jian Jiao, Yashoteja Prabhu, Amit Sharma, Manik Varma

CoRR, 2024

Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval.

Ravisri Valluri, Akash Kumar Mohankumar, Kushal Dave, Amit Singh, Jian Jiao, Manik Varma, Gaurav Sinha

CoRR, 2024

Graph Regularized Encoder Training for Extreme Classification.

Anshul Mittal, Shikhar Mohan, Deepak Saini, Suchith C. Prabhu, Jian Jiao, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma

CoRR, 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 N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification.

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

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

NGAME: Negative Mining-aware Mini-batching for Extreme Classification.

Kunal Dahiya, Nilesh Gupta, Deepak Saini, Akshay Soni, Yajun Wang, Kushal Dave, Jian Jiao, Gururaj K, Prasenjit Dey, Amit Singh, Deepesh Hada, Vidit Jain, Bhawna Paliwal, Anshul Mittal, Sonu Mehta, Ramachandran Ramjee, Sumeet Agarwal, Purushottam Kar, Manik Varma

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 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

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Renee: End-To-End Training of Extreme Classification Models.

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

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Multi-modal Extreme Classification.

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

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

2021

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 Trans. Sens. Networks, 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

Proceedings of the WWW '21: The Web Conference 2021, 2021

ECLARE: Extreme Classification with Label Graph Correlations.

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

Proceedings of the WWW '21: The Web Conference 2021, 2021

DECAF: Deep Extreme Classification with Label Features.

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

Proceedings of the WSDM '21, 2021

DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents.

Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma

Proceedings of the WSDM '21, 2021

Generalized Zero-Shot Extreme Multi-label Learning.

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Extreme Regression for Dynamic Search Advertising.

Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference.

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

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

2019

Extreme classification.

Manik Varma

Commun. ACM, 2019

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

Himanshu Jain, Venkatesh Balasubramanian, Bhanu Chunduri, Manik Varma

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

GesturePod: Enabling On-device Gesture-based Interaction for White Cane Users.

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

Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, 2019

Lightweight, Deep RNNs for Radar Classification.

Dhrubojyoti Roy, Sangeeta Srivastava, Pranshu Jain, Aditya Kusupati, Manik Varma, Anish Arora

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

2018

Extreme Classification (Dagstuhl Seminar 18291).

Samy Bengio, Krzysztof Dembczynski, Thorsten Joachims, Marius Kloft, Manik Varma

Dagstuhl Reports, 2018

Extreme Classification: Tagging on Wikipedia, Recommendation on Amazon & Advertising on Bing.

Manik Varma

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

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

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

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 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

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network.

Aditya Kusupati, Manish Singh, Kush Bhatia, Ashish Kumar, Prateek Jain, Manik Varma

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

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

Ashish Kumar, Saurabh Goyal, Manik Varma

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

ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices.

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

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

2016

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

Himanshu Jain, Yashoteja Prabhu, Manik Varma

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

Locally Non-linear Embeddings for Extreme Multi-label Learning.

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

CoRR, 2015

Sparse Local Embeddings for Extreme Multi-label Classification.

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

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Active learning for sparse bayesian multilabel classification.

Deepak Vasisht, Andreas C. Damianou, Manik Varma, Ashish Kapoor

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

FastXML: a fast, accurate and stable tree-classifier for extreme multi-label learning.

Yashoteja Prabhu, Manik Varma

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection.

Pratik Jawanpuria, Manik Varma, J. Saketha Nath

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

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 22nd International World Wide Web Conference, 2013

Local Deep Kernel Learning for Efficient Non-linear SVM Prediction.

Cijo Jose, Prasoon Goyal, Parv Aggrwal, Manik Varma

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Efficient max-margin multi-label classification with applications to zero-shot learning.

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

Mach. Learn., 2012

SPF-GMKL: generalized multiple kernel learning with a million kernels.

Ashesh Jain, S. V. N. Vishwanathan, Manik Varma

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011

Learning to re-rank: query-dependent image re-ranking using click data.

Vidit Jain, Manik Varma

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

2010

Multiple Kernel Learning and the SMO Algorithm.

S. V. N. Vishwanathan, Zhaonan Sun, Nawanol Ampornpunt, Manik Varma

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Large Scale Max-Margin Multi-Label Classification with Priors.

Bharath Hariharan, Lihi Zelnik-Manor, S. V. N. Vishwanathan, Manik Varma

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

A Statistical Approach to Material Classification Using Image Patch Exemplars.

Manik Varma, Andrew Zisserman

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Character Recognition in Natural Images.

Teófilo Emídio de Campos, Bodla Rakesh Babu, Manik Varma

Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009

More generality in efficient multiple kernel learning.

Manik Varma, Bodla Rakesh Babu

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Multiple kernels for object detection.

Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew Zisserman

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2007

Computer aided generation of stylized maps.

Neeharika Adabala, Manik Varma, Kentaro Toyama

Comput. Animat. Virtual Worlds, 2007

Learning The Discriminative Power-Invariance Trade-Off.

Manik Varma, Debajyoti Ray

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Locally Invariant Fractal Features for Statistical Texture Classification.

Manik Varma, Rahul Garg

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2005

A Statistical Approach to Texture Classification from Single Images.

Manik Varma, Andrew Zisserman

Int. J. Comput. Vis., 2005

2004

Unifying statistical texture classification frameworks.

Manik Varma, Andrew Zisserman

Image Vis. Comput., 2004

Estimating Illumination Direction from Textured Images.

Manik Varma, Andrew Zisserman

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003

Texture Classification: Are Filter Banks Necessary?

Manik Varma, Andrew Zisserman

Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2002

Statistical Approaches to Material Classification.

Manik Varma, Andrew Zisserman

Proceedings of the ICVGIP 2002, 2002

Classifying Images of Materials: Achieving Viewpoint and Illumination Independence.

Manik Varma, Andrew Zisserman

Proceedings of the Computer Vision, 2002