Manik Varma
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
44
Venues
11
Active years
2002–2025
Best venue rank
A*
Where they publish
Papers
44 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | MOGIC: Metadata-infused Oracle Guidance for Improved Extreme Classification. | Suchith Chidananda Prabhu, Bhavyajeet Singh, Anshul Mittal, Siddarth Asokan, Shikhar Mohan, Deepak Saini, Yashoteja Prabhu, Lakshya Kumar, Jian Jiao, Amit Singh, Niket Tandon, Manish Gupta, Sumeet Agarwal, Manik Varma |
| 2025 | KDD | 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 |
| 2025 | KDD | Scaling the Vocabulary of Non-autoregressive Models for Fast Generative Retrieval. | Ravisri Valluri, Akash Kumar Mohankumar, Kushal Dave, Amit Singh, Jian Jiao, Manik Varma, Gaurav Sinha |
| 2025 | WWW | Graph Regularized Encoder Training for Extreme Classification. | Anshul Mittal, Shikhar Mohan, Deepak Saini, Siddarth Asokan, Suchith Chidananda Prabhu, Lakshya Kumar, Pankaj Malhotra, Jian Jiao, Amit Singh, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma |
| 2024 | ICLR | 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 |
| 2024 | ICML | 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 |
| 2024 | KDD | 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 |
| 2024 | WWW | 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 |
| 2023 | KDD | 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 |
| 2023 | SIGIR | 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 |
| 2023 | WSDM | 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 |
| 2022 | CVPR | 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 |
| 2021 | ICML | 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 |
| 2021 | KDD | Generalized Zero-Shot Extreme Multi-label Learning. | Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma |
| 2021 | WWW | ECLARE: Extreme Classification with Label Graph Correlations. | Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma |
| 2021 | WWW | 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 |
| 2021 | WSDM | 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 |
| 2021 | WSDM | DECAF: Deep Extreme Classification with Label Features. | Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma |
| 2020 | WSDM | Extreme Regression for Dynamic Search Advertising. | Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma |
| 2019 | UIST | 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 |
| 2019 | SENSYS | Lightweight, Deep RNNs for Radar Classification. | Dhrubojyoti Roy, Sangeeta Srivastava, Pranshu Jain, Aditya Kusupati, Manik Varma, Anish Arora |
| 2019 | SENSYS | 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 |
| 2019 | WSDM | Slice: Scalable Linear Extreme Classifiers Trained on 100 Million Labels for Related Searches. | Himanshu Jain, Venkatesh Balasubramanian, Bhanu Chunduri, Manik Varma |
| 2018 | WWW | Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising. | Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma |
| 2018 | WWW | Extreme Classification: Tagging on Wikipedia, Recommendation on Amazon & Advertising on Bing. | Manik Varma |
| 2018 | WSDM | 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 |
| 2017 | ICML | 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 |
| 2017 | ICML | Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things. | Ashish Kumar, Saurabh Goyal, Manik Varma |
| 2016 | KDD | Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications. | Himanshu Jain, Yashoteja Prabhu, Manik Varma |
| 2014 | ICML | On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection. | Pratik Jawanpuria, Manik Varma, J. Saketha Nath |
| 2014 | KDD | FastXML: a fast, accurate and stable tree-classifier for extreme multi-label learning. | Yashoteja Prabhu, Manik Varma |
| 2014 | KDD | Active learning for sparse bayesian multilabel classification. | Deepak Vasisht, Andreas C. Damianou, Manik Varma, Ashish Kapoor |
| 2013 | ICML | Local Deep Kernel Learning for Efficient Non-linear SVM Prediction. | Cijo Jose, Prasoon Goyal, Parv Aggrwal, Manik Varma |
| 2013 | WWW | Multi-label learning with millions of labels: recommending advertiser bid phrases for web pages. | Rahul Agrawal, Archit Gupta, Yashoteja Prabhu, Manik Varma |
| 2012 | KDD | SPF-GMKL: generalized multiple kernel learning with a million kernels. | Ashesh Jain, S. V. N. Vishwanathan, Manik Varma |
| 2011 | WWW | Learning to re-rank: query-dependent image re-ranking using click data. | Vidit Jain, Manik Varma |
| 2010 | ICML | Large Scale Max-Margin Multi-Label Classification with Priors. | Bharath Hariharan, Lihi Zelnik-Manor, S. V. N. Vishwanathan, Manik Varma |
| 2009 | ICCV | Multiple kernels for object detection. | Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew Zisserman |
| 2009 | ICML | More generality in efficient multiple kernel learning. | Manik Varma, Bodla Rakesh Babu |
| 2007 | ICCV | Locally Invariant Fractal Features for Statistical Texture Classification. | Manik Varma, Rahul Garg |
| 2007 | ICCV | Learning The Discriminative Power-Invariance Trade-Off. | Manik Varma, Debajyoti Ray |
| 2004 | CVPR | Estimating Illumination Direction from Textured Images. | Manik Varma, Andrew Zisserman |
| 2003 | CVPR | Texture Classification: Are Filter Banks Necessary? | Manik Varma, Andrew Zisserman |
| 2002 | ECCV | Classifying Images of Materials: Achieving Viewpoint and Illumination Independence. | Manik Varma, Andrew Zisserman |