Classifying Images of Materials: Achieving Viewpoint and Illumination Independence. - Manik Varma; Andrew Zisserman (ECCV (3), 2002)

Statistical Approaches to Material Classification. - Manik Varma; Andrew Zisserman (ICVGIP, 2002)

Texture Classification: Are Filter Banks Necessary? - Manik Varma; Andrew Zisserman (CVPR (2), 2003)

Estimating Illumination Direction from Textured Images. - Manik Varma; Andrew Zisserman (CVPR (1), 2004)

Unifying statistical texture classification frameworks. - Manik Varma; Andrew Zisserman (Image Vis. Comput., 2004)

A Statistical Approach to Texture Classification from Single Images. - Manik Varma; Andrew Zisserman (Int. J. Comput. Vis., 2005)

Locally Invariant Fractal Features for Statistical Texture Classification. - Manik Varma; Rahul Garg 001 (ICCV, 2007)

Learning The Discriminative Power-Invariance Trade-Off. - Manik Varma; Debajyoti Ray (ICCV, 2007)

Computer aided generation of stylized maps. - Neeharika Adabala; Manik Varma; Kentaro Toyama (Comput. Animat. Virtual Worlds, 2007)

Multiple kernels for object detection. - Andrea Vedaldi; Varun Gulshan; Manik Varma; Andrew Zisserman (ICCV, 2009)

More generality in efficient multiple kernel learning. - Manik Varma; Bodla Rakesh Babu (ICML, 2009)

Character Recognition in Natural Images. - Teófilo Emídio de Campos; Bodla Rakesh Babu; Manik Varma (VISAPP (2), 2009)

A Statistical Approach to Material Classification Using Image Patch Exemplars. - Manik Varma; Andrew Zisserman (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Large Scale Max-Margin Multi-Label Classification with Priors. - Bharath Hariharan; Lihi Zelnik-Manor; S. V. N. Vishwanathan; Manik Varma (ICML, 2010)

Multiple Kernel Learning and the SMO Algorithm. - S. V. N. Vishwanathan; Zhaonan Sun; Nawanol Ampornpunt; Manik Varma (NIPS, 2010)

Learning to re-rank: query-dependent image re-ranking using click data. - Vidit Jain; Manik Varma (WWW, 2011)

SPF-GMKL: generalized multiple kernel learning with a million kernels. - Ashesh Jain; S. V. N. Vishwanathan; Manik Varma (KDD, 2012)

Efficient max-margin multi-label classification with applications to zero-shot learning. - Bharath Hariharan; S. V. N. Vishwanathan; Manik Varma (Mach. Learn., 2012)

Local Deep Kernel Learning for Efficient Non-linear SVM Prediction. - Cijo Jose; Prasoon Goyal; Parv Aggrwal; Manik Varma (ICML (3), 2013)

Multi-label learning with millions of labels: recommending advertiser bid phrases for web pages. - Rahul Agrawal; Archit Gupta; Yashoteja Prabhu; Manik Varma (WWW, 2013)

On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection. - Pratik Jawanpuria; Manik Varma; J. Saketha Nath (ICML, 2014)

FastXML: a fast, accurate and stable tree-classifier for extreme multi-label learning. - Yashoteja Prabhu; Manik Varma (KDD, 2014)

Active learning for sparse bayesian multilabel classification. - Deepak Vasisht; Andreas C. Damianou; Manik Varma; Ashish Kapoor (KDD, 2014)

Sparse Local Embeddings for Extreme Multi-label Classification. - Kush Bhatia; Himanshu Jain; Purushottam Kar; Manik Varma; Prateek Jain 002 (NIPS, 2015)

Locally Non-linear Embeddings for Extreme Multi-label Learning. - Kush Bhatia; Himanshu Jain; Purushottam Kar; Prateek Jain 002; Manik Varma (CoRR, 2015)

Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications. - Himanshu Jain; Yashoteja Prabhu; Manik Varma (KDD, 2016)

ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices. - Chirag Gupta; Arun Sai Suggala; Ankit Goyal; Harsha Vardhan Simhadri; Bhargavi Paranjape; Ashish Kumar 007; Saurabh Goyal; Raghavendra Udupa; Manik Varma; Prateek Jain 002 (ICML, 2017)

Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things. - Ashish Kumar 007; Saurabh Goyal; Manik Varma (ICML, 2017)

FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network. - Aditya Kusupati; Manish Singh; Kush Bhatia; Ashish Kumar 007; Prateek Jain 002; Manik Varma (NeurIPS, 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 (WSDM, 2018)

Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising. - Yashoteja Prabhu; Anil Kag; Shrutendra Harsola; Rahul Agrawal; Manik Varma (WWW, 2018)

Extreme Classification: Tagging on Wikipedia, Recommendation on Amazon & Advertising on Bing. - Manik Varma (WWW (Companion Volume), 2018)

Extreme Classification (Dagstuhl Seminar 18291). - Samy Bengio; Krzysztof Dembczynski; Thorsten Joachims; Marius Kloft; Manik Varma (Dagstuhl Reports, 2018)

Lightweight, Deep RNNs for Radar Classification. - Dhrubojyoti Roy; Sangeeta Srivastava; Pranshu Jain; Aditya Kusupati; Manik Varma; Anish Arora (BuildSys, 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 002 (UIST, 2019)

Slice: Scalable Linear Extreme Classifiers Trained on 100 Million Labels for Related Searches. - Himanshu Jain; Venkatesh Balasubramanian; Bhanu Chunduri; Manik Varma (WSDM, 2019)

Extreme classification. - Manik Varma (Commun. ACM, 2019)

RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference. - Oindrila Saha; Aditya Kusupati; Harsha Vardhan Simhadri; Manik Varma; Prateek Jain 002 (NeurIPS, 2020)

Extreme Regression for Dynamic Search Advertising. - Yashoteja Prabhu; Aditya Kusupati; Nilesh Gupta; Manik Varma (WSDM, 2020)

SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels. - Kunal Dahiya; Ananye Agarwal; Deepak Saini; Gururaj K; Jian Jiao 007; Amit Singh 003; Sumeet Agarwal; Purushottam Kar; Manik Varma (ICML, 2021)

Generalized Zero-Shot Extreme Multi-label Learning. - Nilesh Gupta; Sakina Bohra; Yashoteja Prabhu; Saurabh Purohit; Manik Varma (KDD, 2021)

DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. - Kunal Dahiya; Deepak Saini; Anshul Mittal; Ankush Shaw; Kushal Dave 001; Akshay Soni; Himanshu Jain; Sumeet Agarwal; Manik Varma (WSDM, 2021)

DECAF: Deep Extreme Classification with Label Features. - Anshul Mittal; Kunal Dahiya; Sheshansh Agrawal; Deepak Saini; Sumeet Agarwal; Purushottam Kar; Manik Varma (WSDM, 2021)

ECLARE: Extreme Classification with Label Graph Correlations. - Anshul Mittal; Noveen Sachdeva; Sheshansh Agrawal; Sumeet Agarwal; Purushottam Kar; Manik Varma (WWW, 2021)

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification. - Deepak Saini; Arnav Kumar Jain; Kushal Dave 001; Jian Jiao 007; Amit Singh 003; Ruofei Zhang; Manik Varma (WWW, 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)

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 (CVPR, 2022)

Deep Encoders with Auxiliary Parameters for Extreme Classification. - Kunal Dahiya; Sachin Yadav 002; Sushant Sondhi; Deepak Saini; Sonu Mehta; Jian Jiao 007; Sumeet Agarwal; Purushottam Kar; Manik Varma (KDD, 2023)

Renee: End-To-End Training of Extreme Classification Models. - Vidit Jain; Jatin Prakash; Deepak Saini; Jian Jiao 007; Ramachandran Ramjee; Manik Varma (MLSys, 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 (SIGIR, 2023)

NGAME: Negative Mining-aware Mini-batching for Extreme Classification. - Kunal Dahiya; Nilesh Gupta; Deepak Saini; Akshay Soni; Yajun Wang; Kushal Dave 001; Jian Jiao 007; Gururaj K; Prasenjit Dey; Amit Singh 003; Deepesh Hada; Vidit Jain; et al. (WSDM, 2023)

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; et al. (ICLR, 2024)

OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification. - Shikhar Mohan; Deepak Saini; Anshul Mittal; Sayak Ray Chowdhury; Bhawna Paliwal; Jian Jiao 007; Manish Gupta; Manik Varma (ICML, 2024)

Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval. - Sachin Yadav 002; Deepak Saini; Anirudh Buvanesh; Bhawna Paliwal; Kunal Dahiya; Siddarth Asokan; Yashoteja Prabhu; Jian Jiao 007; Manik Varma (KDD, 2024)

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. - Qi Chen 009; Xiubo Geng; Corby Rosset; Carolyn Buractaon; Jingwen Lu; Tao Shen 001; Kun Zhou 002; Chenyan Xiong; Yeyun Gong; Paul N. Bennett; Nick Craswell; Xing Xie 001; et al. (WWW (Companion Volume), 2024)

Graph Regularized Encoder Training for Extreme Classification. - Anshul Mittal; Shikhar Mohan; Deepak Saini; Suchith C. Prabhu; Jian Jiao 007; Sumeet Agarwal; Soumen Chakrabarti; Purushottam Kar; Manik Varma (CoRR, 2024)

Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval. - Ravisri Valluri; Akash Kumar Mohankumar; Kushal Dave 001; Amit Singh 003; Jian Jiao 007; Manik Varma; Gaurav Sinha 001 (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 007; Manik Varma (CoRR, 2024)

ASTRA: Accurate and Scalable ANNS-based Training of Extreme Classifiers. - Sonu Mehta; Jayashree Mohan; Nagarajan Natarajan; Ramachandran Ramjee; 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 002; Jian Jiao 007; Yashoteja Prabhu; Amit Sharma 007; Manik Varma (KDD (1), 2025)

Scaling the Vocabulary of Non-autoregressive Models for Fast Generative Retrieval. - Ravisri Valluri; Akash Kumar Mohankumar; Kushal Dave 001; Amit Singh 003; Jian Jiao 007; Manik Varma; Gaurav Sinha 001 (KDD (1), 2025)

Graph Regularized Encoder Training for Extreme Classification. - Anshul Mittal; Shikhar Mohan; Deepak Saini; Siddarth Asokan; Suchith Chidananda Prabhu; Lakshya Kumar; Pankaj Malhotra; Jian Jiao 007; Amit Singh 003; Sumeet Agarwal; Soumen Chakrabarti; Purushottam Kar; et al. (WWW (Companion Volume), 2025)