Manik Varma

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 42

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Publications

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
Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction. ICLR (2024)
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
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. WWW (Companion Volume) (2024)
Ravisri Valluri, Akash Kumar Mohankumar, Kushal Dave, Amit Singh, Jian Jiao, Manik Varma, Gaurav Sinha
Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval. CoRR (2024)
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
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels. CoRR (2024)
Sachin Yadav, Deepak Saini, Anirudh Buvanesh, Bhawna Paliwal, Kunal Dahiya, Siddarth Asokan, Yashoteja Prabhu, Jian Jiao, Manik Varma
Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval. KDD (2024)
Anshul Mittal, Shikhar Mohan, Deepak Saini, Suchith C. Prabhu, Jain jiao, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma
Graph Regularized Encoder Training for Extreme Classification. CoRR (2024)
Vidit Jain, Jatin Prakash, Deepak Saini, Jian Jiao, Ramachandran Ramjee, Manik Varma
Renee: End-To-End Training of Extreme Classification Models. MLSys (2023)
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
NGAME: Negative Mining-aware Mini-batching for Extreme Classification. WSDM (2023)
Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma
Deep Encoders with Auxiliary Parameters for Extreme Classification. KDD (2023)
Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma
Multi-modal Extreme Classification. CoRR (2023)
Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma
Personalized Retrieval over Millions of Items. SIGIR (2023)
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
NGAME: Negative Mining-aware Mini-batching for Extreme Classification. CoRR (2022)
Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Kuruvilla, Jitendra Ajmera, Keng-Hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma
Multi-modal Extreme Classification. CVPR (2022)
Kunal Dahiya, Ananye Agarwal, Deepak Saini, Gururaj K, Jian Jiao, Amit Singh, Sumeet Agarwal, Purushottam Kar, Manik Varma
SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels. ICML (2021)
Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma
ECLARE: Extreme Classification with Label Graph Correlations. CoRR (2021)
Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma
Generalized Zero-Shot Extreme Multi-label Learning. KDD (2021)
Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma
DECAF: Deep Extreme Classification with Label Features. CoRR (2021)
Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. CoRR (2021)
Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma
DECAF: Deep Extreme Classification with Label Features. WSDM (2021)
Dhrubojyoti Roy, Sangeeta Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, Anish Arora
One Size Does Not Fit All: Multi-scale, Cascaded RNNs for Radar Classification. ACM Trans. Sens. Networks 17 (2) (2021)
Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma
ECLARE: Extreme Classification with Label Graph Correlations. WWW (2021)
Deepak Saini, Arnav Kumar Jain, Kushal Dave, Jian Jiao, Amit Singh, Ruofei Zhang, Manik Varma
GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification. WWW (2021)
Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. WSDM (2021)
Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference. CoRR (2020)
Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma
Extreme Regression for Dynamic Search Advertising. CoRR (2020)
Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference. NeurIPS (2020)
Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma
Extreme Regression for Dynamic Search Advertising. WSDM (2020)
Himanshu Jain, Venkatesh Balasubramanian, Bhanu Chunduri, Manik Varma
Slice: Scalable Linear Extreme Classifiers Trained on 100 Million Labels for Related Searches. WSDM (2019)
Dhrubojyoti Roy, Sangeeta Srivastava, Pranshu Jain, Aditya Kusupati, Manik Varma, Anish Arora
Lightweight, Deep RNNs for Radar Classification. BuildSys@SenSys (2019)
Manik Varma
Extreme classification. Commun. ACM 62 (11) (2019)
Aditya Kusupati, Manish Singh, Kush Bhatia, Ashish Kumar, Prateek Jain, Manik Varma
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network. CoRR (2019)
Dhrubojyoti Roy, Sangeeta Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, Anish Arora
One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification. BuildSys@SenSys (2019)
Dhrubojyoti Roy, Sangeeta Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, Anish Arora
One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification. CoRR (2019)
Shishir G. Patil, Don Kurian Dennis, Chirag Pabbaraju, Nadeem Shaheer, Harsha Vardhan Simhadri, Vivek Seshadri, Manik Varma, Prateek Jain
GesturePod: Enabling On-device Gesture-based Interaction for White Cane Users. UIST (2019)
Samy Bengio, Krzysztof Dembczynski, Thorsten Joachims, Marius Kloft, Manik Varma
Extreme Classification (Dagstuhl Seminar 18291). Dagstuhl Reports 8 (7) (2018)
Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma
Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising. WWW (2018)
Aditya Kusupati, Manish Singh, Kush Bhatia, Ashish Kumar, Prateek Jain, Manik Varma
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network. NeurIPS (2018)
Yashoteja Prabhu, Anil Kag, Shilpa Gopinath, Kunal Dahiya, Shrutendra Harsola, Rahul Agrawal, Manik Varma
Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation. WSDM (2018)
Manik Varma
Extreme Classification: Tagging on Wikipedia, Recommendation on Amazon & Advertising on Bing. WWW (Companion Volume) (2018)
Chirag Gupta, Arun Sai Suggala, Ankit Goyal, Harsha Vardhan Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain
ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices. ICML (2017)
Ashish Kumar, Saurabh Goyal, Manik Varma
Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things. ICML (2017)
Himanshu Jain, Yashoteja Prabhu, Manik Varma
Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications. KDD (2016)
Kush Bhatia, Himanshu Jain, Purushottam Kar, Prateek Jain, Manik Varma
Locally Non-linear Embeddings for Extreme Multi-label Learning. CoRR (2015)
Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, Prateek Jain
Sparse Local Embeddings for Extreme Multi-label Classification. NIPS (2015)
Yashoteja Prabhu, Manik Varma
FastXML: a fast, accurate and stable tree-classifier for extreme multi-label learning. KDD (2014)
Pratik Jawanpuria, Manik Varma, J. Saketha Nath
On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection. ICML (2014)
Deepak Vasisht, Andreas C. Damianou, Manik Varma, Ashish Kapoor
Active learning for sparse bayesian multilabel classification. KDD (2014)
Cijo Jose, Prasoon Goyal, Parv Aggrwal, Manik Varma
Local Deep Kernel Learning for Efficient Non-linear SVM Prediction. ICML (3) (2013)
Rahul Agrawal, Archit Gupta, Yashoteja Prabhu, Manik Varma
Multi-label learning with millions of labels: recommending advertiser bid phrases for web pages. WWW (2013)
Ashesh Jain, S. V. N. Vishwanathan, Manik Varma
SPF-GMKL: generalized multiple kernel learning with a million kernels. KDD (2012)
Bharath Hariharan, S. V. N. Vishwanathan, Manik Varma
Efficient max-margin multi-label classification with applications to zero-shot learning. Mach. Learn. 88 (1-2) (2012)
Vidit Jain, Manik Varma
Learning to re-rank: query-dependent image re-ranking using click data. WWW (2011)
S. V. N. Vishwanathan, Zhaonan Sun, Nawanol Ampornpunt, Manik Varma
Multiple Kernel Learning and the SMO Algorithm. NIPS (2010)
Bharath Hariharan, Lihi Zelnik-Manor, S. V. N. Vishwanathan, Manik Varma
Large Scale Max-Margin Multi-Label Classification with Priors. ICML (2010)
Manik Varma, Bodla Rakesh Babu
More generality in efficient multiple kernel learning. ICML (2009)
Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew Zisserman
Multiple kernels for object detection. ICCV (2009)
Teófilo Emídio de Campos, Bodla Rakesh Babu, Manik Varma
Character Recognition in Natural Images. VISAPP (2) (2009)
Manik Varma, Andrew Zisserman
A Statistical Approach to Material Classification Using Image Patch Exemplars. IEEE Trans. Pattern Anal. Mach. Intell. 31 (11) (2009)
Neeharika Adabala, Manik Varma, Kentaro Toyama
Computer aided generation of stylized maps. Comput. Animat. Virtual Worlds 18 (2) (2007)
Manik Varma, Rahul Garg
Locally Invariant Fractal Features for Statistical Texture Classification. ICCV (2007)
Manik Varma, Debajyoti Ray
Learning The Discriminative Power-Invariance Trade-Off. ICCV (2007)
Manik Varma, Andrew Zisserman
A Statistical Approach to Texture Classification from Single Images. Int. J. Comput. Vis. 62 (1-2) (2005)
Manik Varma, Andrew Zisserman
Unifying statistical texture classification frameworks. Image Vis. Comput. 22 (14) (2004)
Manik Varma, Andrew Zisserman
Estimating Illumination Direction from Textured Images. CVPR (1) (2004)
Manik Varma, Andrew Zisserman
Texture Classification: Are Filter Banks Necessary? CVPR (2) (2003)
Manik Varma, Andrew Zisserman
Classifying Images of Materials: Achieving Viewpoint and Illumination Independence. ECCV (3) (2002)
Manik Varma, Andrew Zisserman
Statistical Approaches to Material Classification. ICVGIP (2002)