Manik Varma - RankMe

76 papers A* 29A 6Journal 24Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Graph Regularized Encoder Training for Extreme Classification. WWW (Companion Volume) 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
2025	A*	`conf`	MOGIC: Metadata-infused Oracle Guidance for Improved Extreme Classification. ICML 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	—	`conf`	On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification. KDD (1) Jatin Prakash, Anirudh Buvanesh, Bishal Santra, Deepak Saini, Sachin Yadav, Jian Jiao, Yashoteja Prabhu, Amit Sharma, Manik Varma
2025	—	`conf`	Scaling the Vocabulary of Non-autoregressive Models for Fast Generative Retrieval. KDD (1) Ravisri Valluri, Akash Kumar Mohankumar, Kushal Dave, Amit Singh, Jian Jiao, Manik Varma, Gaurav Sinha
2024	J	`jnl`	ASTRA: Accurate and Scalable ANNS-based Training of Extreme Classifiers. CoRR Sonu Mehta, Jayashree Mohan, Nagarajan Natarajan, Ramachandran Ramjee, Manik Varma
2024	J	`jnl`	CROSS-JEM: Accurate and Efficient Cross-encoders for Short-text Ranking Tasks. CoRR Bhawna Paliwal, Deepak Saini, Mudit Dhawan, Siddarth Asokan, Nagarajan Natarajan, Surbhi Aggarwal, Pankaj Malhotra, Jian Jiao, Manik Varma
2024	A*	`conf`	Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction. ICLR 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	A*	`conf`	Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval. KDD Sachin Yadav, Deepak Saini, Anirudh Buvanesh, Bhawna Paliwal, Kunal Dahiya, Siddarth Asokan, Yashoteja Prabhu, Jian Jiao, Manik Varma
2024	J	`jnl`	Graph Regularized Encoder Training for Extreme Classification. CoRR Anshul Mittal, Shikhar Mohan, Deepak Saini, Suchith C. Prabhu, Jian Jiao, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma
2024	—	`conf`	MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. WWW (Companion Volume) 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
2024	J	`jnl`	MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels. CoRR 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
2024	A*	`conf`	OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification. ICML Shikhar Mohan, Deepak Saini, Anshul Mittal, Sayak Ray Chowdhury, Bhawna Paliwal, Jian Jiao, Manish Gupta, Manik Varma
2024	J	`jnl`	On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification. CoRR Jatin Prakash, Anirudh Buvanesh, Bishal Santra, Deepak Saini, Sachin Yadav, Jian Jiao, Yashoteja Prabhu, Amit Sharma, Manik Varma
2024	J	`jnl`	Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval. CoRR Ravisri Valluri, Akash Kumar Mohankumar, Kushal Dave, Amit Singh, Jian Jiao, Manik Varma, Gaurav Sinha
2023	A*	`conf`	Deep Encoders with Auxiliary Parameters for Extreme Classification. KDD Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma
2023	J	`jnl`	Multi-modal Extreme Classification. CoRR Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Ann Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma
2023	A	`conf`	NGAME: Negative Mining-aware Mini-batching for Extreme Classification. WSDM 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
2023	A*	`conf`	Personalized Retrieval over Millions of Items. SIGIR Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma
2023	—	`conf`	Renee: End-To-End Training of Extreme Classification Models. MLSys Vidit Jain, Jatin Prakash, Deepak Saini, Jian Jiao, Ramachandran Ramjee, Manik Varma
2022	A*	`conf`	Multi-modal Extreme Classification. CVPR Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Ann Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma
2022	J	`jnl`	NGAME: Negative Mining-aware Mini-batching for Extreme Classification. CoRR 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
2021	A	`conf`	DECAF: Deep Extreme Classification with Label Features. WSDM Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma
2021	J	`jnl`	DECAF: Deep Extreme Classification with Label Features. CoRR Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma
2021	A	`conf`	DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. WSDM Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma
2021	J	`jnl`	DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. CoRR Kunal Dahiya, Deepak Saini, Anshul Mittal, Ankush Shaw, Kushal Dave, Akshay Soni, Himanshu Jain, Sumeet Agarwal, Manik Varma
2021	A*	`conf`	ECLARE: Extreme Classification with Label Graph Correlations. WWW Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma
2021	J	`jnl`	ECLARE: Extreme Classification with Label Graph Correlations. CoRR Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma
2021	A*	`conf`	GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification. WWW Deepak Saini, Arnav Kumar Jain, Kushal Dave, Jian Jiao, Amit Singh, Ruofei Zhang, Manik Varma
2021	A*	`conf`	Generalized Zero-Shot Extreme Multi-label Learning. KDD Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma
2021	J	`jnl`	One Size Does Not Fit All: Multi-scale, Cascaded RNNs for Radar Classification. ACM Trans. Sens. Networks Dhrubojyoti Roy, Sangeeta Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, Anish Arora
2021	A*	`conf`	SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels. ICML Kunal Dahiya, Ananye Agarwal, Deepak Saini, Gururaj K, Jian Jiao, Amit Singh, Sumeet Agarwal, Purushottam Kar, Manik Varma
2020	A	`conf`	Extreme Regression for Dynamic Search Advertising. WSDM Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma
2020	J	`jnl`	Extreme Regression for Dynamic Search Advertising. CoRR Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma
2020	A*	`conf`	RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference. NeurIPS Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain
2020	J	`jnl`	RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference. CoRR Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain
2019	J	`jnl`	Extreme classification. Commun. ACM Manik Varma
2019	J	`jnl`	FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network. CoRR Aditya Kusupati, Manish Singh, Kush Bhatia, Ashish Kumar, Prateek Jain, Manik Varma
2019	A*	`conf`	GesturePod: Enabling On-device Gesture-based Interaction for White Cane Users. UIST Shishir G. Patil, Don Kurian Dennis, Chirag Pabbaraju, Nadeem Shaheer, Harsha Vardhan Simhadri, Vivek Seshadri, Manik Varma, Prateek Jain
2019	—	`conf`	Lightweight, Deep RNNs for Radar Classification. BuildSys Dhrubojyoti Roy, Sangeeta Srivastava, Pranshu Jain, Aditya Kusupati, Manik Varma, Anish Arora
2019	—	`conf`	One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification. BuildSys Dhrubojyoti Roy, Sangeeta Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, Anish Arora
2019	J	`jnl`	One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification. CoRR Dhrubojyoti Roy, Sangeeta Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, Anish Arora
2019	A	`conf`	Slice: Scalable Linear Extreme Classifiers Trained on 100 Million Labels for Related Searches. WSDM Himanshu Jain, Venkatesh Balasubramanian, Bhanu Chunduri, Manik Varma
2018	J	`jnl`	Extreme Classification (Dagstuhl Seminar 18291). Dagstuhl Reports Samy Bengio, Krzysztof Dembczynski, Thorsten Joachims, Marius Kloft, Manik Varma
2018	—	`conf`	Extreme Classification: Tagging on Wikipedia, Recommendation on Amazon & Advertising on Bing. WWW (Companion Volume) Manik Varma
2018	A	`conf`	Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation. WSDM Yashoteja Prabhu, Anil Kag, Shilpa Gopinath, Kunal Dahiya, Shrutendra Harsola, Rahul Agrawal, Manik Varma
2018	A*	`conf`	FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network. NeurIPS Aditya Kusupati, Manish Singh, Kush Bhatia, Ashish Kumar, Prateek Jain, Manik Varma
2018	A*	`conf`	Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising. WWW Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma
2017	A*	`conf`	ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices. ICML Chirag Gupta, Arun Sai Suggala, Ankit Goyal, Harsha Vardhan Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain
2017	A*	`conf`	Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things. ICML Ashish Kumar, Saurabh Goyal, Manik Varma
2016	A*	`conf`	Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications. KDD Himanshu Jain, Yashoteja Prabhu, Manik Varma
2015	J	`jnl`	Locally Non-linear Embeddings for Extreme Multi-label Learning. CoRR Kush Bhatia, Himanshu Jain, Purushottam Kar, Prateek Jain, Manik Varma
2015	—	`conf`	Sparse Local Embeddings for Extreme Multi-label Classification. NIPS Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, Prateek Jain
2014	A*	`conf`	Active learning for sparse bayesian multilabel classification. KDD Deepak Vasisht, Andreas C. Damianou, Manik Varma, Ashish Kapoor
2014	A*	`conf`	FastXML: a fast, accurate and stable tree-classifier for extreme multi-label learning. KDD Yashoteja Prabhu, Manik Varma
2014	A*	`conf`	On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection. ICML Pratik Jawanpuria, Manik Varma, J. Saketha Nath
2014	—	`ed.`	Proceedings of the 2014 Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP'14, Bangalore, India, December 14-18, 2014 ICVGIP A. G. Ramakrishnan, Jitendra Malik, Alexei A. Efros, C. V. Jawahar, Manik Varma
2013	—	`conf`	Local Deep Kernel Learning for Efficient Non-linear SVM Prediction. ICML (3) Cijo Jose, Prasoon Goyal, Parv Aggrwal, Manik Varma
2013	A*	`conf`	Multi-label learning with millions of labels: recommending advertiser bid phrases for web pages. WWW Rahul Agrawal, Archit Gupta, Yashoteja Prabhu, Manik Varma
2012	J	`jnl`	Efficient max-margin multi-label classification with applications to zero-shot learning. Mach. Learn. Bharath Hariharan, S. V. N. Vishwanathan, Manik Varma
2012	A*	`conf`	SPF-GMKL: generalized multiple kernel learning with a million kernels. KDD Ashesh Jain, S. V. N. Vishwanathan, Manik Varma
2011	A*	`conf`	Learning to re-rank: query-dependent image re-ranking using click data. WWW Vidit Jain, Manik Varma
2010	A*	`conf`	Large Scale Max-Margin Multi-Label Classification with Priors. ICML Bharath Hariharan, Lihi Zelnik-Manor, S. V. N. Vishwanathan, Manik Varma
2010	—	`conf`	Multiple Kernel Learning and the SMO Algorithm. NIPS S. V. N. Vishwanathan, Zhaonan Sun, Nawanol Ampornpunt, Manik Varma
2009	J	`jnl`	A Statistical Approach to Material Classification Using Image Patch Exemplars. IEEE Trans. Pattern Anal. Mach. Intell. Manik Varma, Andrew Zisserman
2009	—	`conf`	Character Recognition in Natural Images. VISAPP (2) Teófilo Emídio de Campos, Bodla Rakesh Babu, Manik Varma
2009	A*	`conf`	More generality in efficient multiple kernel learning. ICML Manik Varma, Bodla Rakesh Babu
2009	A*	`conf`	Multiple kernels for object detection. ICCV Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew Zisserman
2007	J	`jnl`	Computer aided generation of stylized maps. Comput. Animat. Virtual Worlds Neeharika Adabala, Manik Varma, Kentaro Toyama
2007	A*	`conf`	Learning The Discriminative Power-Invariance Trade-Off. ICCV Manik Varma, Debajyoti Ray
2007	A*	`conf`	Locally Invariant Fractal Features for Statistical Texture Classification. ICCV Manik Varma, Rahul Garg
2005	J	`jnl`	A Statistical Approach to Texture Classification from Single Images. Int. J. Comput. Vis. Manik Varma, Andrew Zisserman
2004	—	`conf`	Estimating Illumination Direction from Textured Images. CVPR (1) Manik Varma, Andrew Zisserman
2004	J	`jnl`	Unifying statistical texture classification frameworks. Image Vis. Comput. Manik Varma, Andrew Zisserman
2003	—	`conf`	Texture Classification: Are Filter Banks Necessary? CVPR (2) Manik Varma, Andrew Zisserman
2002	—	`conf`	Classifying Images of Materials: Achieving Viewpoint and Illumination Independence. ECCV (3) Manik Varma, Andrew Zisserman
2002	—	`conf`	Statistical Approaches to Material Classification. ICVGIP Manik Varma, Andrew Zisserman