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Manik Varma
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2020 – today
- 2024
- [c47]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 - [c46]Shikhar Mohan, Deepak Saini, Anshul Mittal, Sayak Ray Chowdhury, Bhawna Paliwal, Jian Jiao, Manish Gupta, Manik Varma:
OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification. ICML 2024 - [c45]Sachin Yadav
, Deepak Saini
Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval. KDD 2024: 3657-3666 - [c44]Qi Chen
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. WWW (Companion Volume) 2024: 292-301 - [i17]Anshul Mittal, Shikhar Mohan, Deepak Saini, Suchith C. Prabhu, Jian Jiao, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma:
Graph Regularized Encoder Training for Extreme Classification. CoRR abs/2402.18434 (2024) - [i16]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 abs/2405.07526 (2024) - [i15]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 abs/2406.06739 (2024) - [i14]Jatin Prakash, Anirudh Buvanesh, Bishal Santra, Deepak Saini, Sachin Yadav, Jian Jiao, Yashoteja Prabhu, Amit Sharma, Manik Varma:
On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification. CoRR abs/2408.09585 (2024) - [i13]Bhawna Paliwal, Deepak Saini, Mudit Dhawan, Siddarth Asokan, Nagarajan Natarajan, Surbhi Aggarwal, Pankaj Malhotra, Jian Jiao, Manik Varma:
CROSS-JEM: Accurate and Efficient Cross-encoders for Short-text Ranking Tasks. CoRR abs/2409.09795 (2024) - [i12]Sonu Mehta, Jayashree Mohan, Nagarajan Natarajan, Ramachandran Ramjee, Manik Varma:
ASTRA: Accurate and Scalable ANNS-based Training of Extreme Classifiers. CoRR abs/2409.20156 (2024) - 2023
- [c43]Kunal Dahiya
Deep Encoders with Auxiliary Parameters for Extreme Classification. KDD 2023: 358-367 - [c42]Vidit Jain, Jatin Prakash, Deepak Saini, Jian Jiao, Ramachandran Ramjee, Manik Varma:
Renee: End-To-End Training of Extreme Classification Models. MLSys 2023 - [c41]Hemanth Vemuri
Personalized Retrieval over Millions of Items. SIGIR 2023: 1014-1022 - [c40]Kunal Dahiya
NGAME: Negative Mining-aware Mini-batching for Extreme Classification. WSDM 2023: 258-266 - [i11]Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Ann Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma:
Multi-modal Extreme Classification. CoRR abs/2309.04961 (2023) - 2022
- [c39]Anshul Mittal, Kunal Dahiya
Multi-modal Extreme Classification. CVPR 2022: 12383-12392 - [i10]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 abs/2207.04452 (2022) - 2021
- [j7]Dhrubojyoti Roy
One Size Does Not Fit All: Multi-scale, Cascaded RNNs for Radar Classification. ACM Trans. Sens. Networks 17(2): 12:1-12:27 (2021) - [c38]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: 2330-2340 - [c37]Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma:
Generalized Zero-Shot Extreme Multi-label Learning. KDD 2021: 527-535 - [c36]Kunal Dahiya
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents. WSDM 2021: 31-39 - [c35]Anshul Mittal, Kunal Dahiya
DECAF: Deep Extreme Classification with Label Features. WSDM 2021: 49-57 - [c34]Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal
ECLARE: Extreme Classification with Label Graph Correlations. WWW 2021: 3721-3732 - [c33]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: 3733-3744 - [i9]Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma:
ECLARE: Extreme Classification with Label Graph Correlations. CoRR abs/2108.00261 (2021) - [i8]Anshul Mittal, Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma:
DECAF: Deep Extreme Classification with Label Features. CoRR abs/2108.00368 (2021) - [i7]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 abs/2111.06685 (2021) - 2020
- [c32]Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain:
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference. NeurIPS 2020 - [c31]Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma:
Extreme Regression for Dynamic Search Advertising. WSDM 2020: 456-464 - [i6]Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma:
Extreme Regression for Dynamic Search Advertising. CoRR abs/2001.05228 (2020) - [i5]Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain:
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference. CoRR abs/2002.11921 (2020)
2010 – 2019
- 2019
- [j6]Manik Varma:
Extreme classification. Commun. ACM 62(11): 44-45 (2019) - [c30]Dhrubojyoti Roy, Sangeeta Srivastava
One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification. BuildSys@SenSys 2019: 1-10 - [c29]Dhrubojyoti Roy, Sangeeta Srivastava, Pranshu Jain, Aditya Kusupati, Manik Varma, Anish Arora:
Lightweight, Deep RNNs for Radar Classification. BuildSys@SenSys 2019: 360-361 - [c28]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: 403-415 - [c27]Himanshu Jain, Venkatesh Balasubramanian, Bhanu Chunduri, Manik Varma:
Slice: Scalable Linear Extreme Classifiers Trained on 100 Million Labels for Related Searches. WSDM 2019: 528-536 - [i4]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 abs/1901.02358 (2019) - [i3]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 abs/1909.03082 (2019) - 2018
- [c26]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: 9031-9042 - [c25]Yashoteja Prabhu, Anil Kag, Shilpa Gopinath, Kunal Dahiya
Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation. WSDM 2018: 441-449 - [c24]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: 993-1002 - [c23]Manik Varma:
Extreme Classification: Tagging on Wikipedia, Recommendation on Amazon & Advertising on Bing. WWW (Companion Volume) 2018: 1897 - [i2]Samy Bengio, Krzysztof Dembczynski, Thorsten Joachims, Marius Kloft, Manik Varma:
Extreme Classification (Dagstuhl Seminar 18291). Dagstuhl Reports 8(7): 62-80 (2018) - 2017
- [c22]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: 1331-1340 - [c21]Ashish Kumar, Saurabh Goyal, Manik Varma:
Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things. ICML 2017: 1935-1944 - 2016
- [c20]Himanshu Jain, Yashoteja Prabhu, Manik Varma:
Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications. KDD 2016: 935-944 - 2015
- [c19]Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, Prateek Jain:
Sparse Local Embeddings for Extreme Multi-label Classification. NIPS 2015: 730-738 - [i1]Kush Bhatia, Himanshu Jain, Purushottam Kar, Prateek Jain, Manik Varma:
Locally Non-linear Embeddings for Extreme Multi-label Learning. CoRR abs/1507.02743 (2015) - 2014
- [c18]Pratik Jawanpuria, Manik Varma, J. Saketha Nath:
On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection. ICML 2014: 118-126 - [c17]Yashoteja Prabhu, Manik Varma:
FastXML: a fast, accurate and stable tree-classifier for extreme multi-label learning. KDD 2014: 263-272 - [c16]Deepak Vasisht, Andreas C. Damianou, Manik Varma, Ashish Kapoor:
Active learning for sparse bayesian multilabel classification. KDD 2014: 472-481 - [e1]A. G. Ramakrishnan, Jitendra Malik, Alexei A. Efros, C. V. Jawahar, Manik Varma:
Proceedings of the 2014 Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP'14, Bangalore, India, December 14-18, 2014. ACM 2014, ISBN 978-1-4503-3061-9 [contents] - 2013
- [c15]Cijo Jose, Prasoon Goyal, Parv Aggrwal, Manik Varma:
Local Deep Kernel Learning for Efficient Non-linear SVM Prediction. ICML (3) 2013: 486-494 - [c14]Rahul Agrawal, Archit Gupta, Yashoteja Prabhu, Manik Varma:
Multi-label learning with millions of labels: recommending advertiser bid phrases for web pages. WWW 2013: 13-24 - 2012
- [j5]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): 127-155 (2012) - [c13]Ashesh Jain, S. V. N. Vishwanathan, Manik Varma:
SPF-GMKL: generalized multiple kernel learning with a million kernels. KDD 2012: 750-758 - 2011
- [c12]Vidit Jain, Manik Varma:
Learning to re-rank: query-dependent image re-ranking using click data. WWW 2011: 277-286 - 2010
- [c11]Bharath Hariharan, Lihi Zelnik-Manor, S. V. N. Vishwanathan, Manik Varma:
Large Scale Max-Margin Multi-Label Classification with Priors. ICML 2010: 423-430 - [c10]S. V. N. Vishwanathan, Zhaonan Sun, Nawanol Ampornpunt, Manik Varma:
Multiple Kernel Learning and the SMO Algorithm. NIPS 2010: 2361-2369
2000 – 2009
- 2009
- [j4]Manik Varma, Andrew Zisserman:
A Statistical Approach to Material Classification Using Image Patch Exemplars. IEEE Trans. Pattern Anal. Mach. Intell. 31(11): 2032-2047 (2009) - [c9]Andrea Vedaldi
Multiple kernels for object detection. ICCV 2009: 606-613 - [c8]Manik Varma, Bodla Rakesh Babu:
More generality in efficient multiple kernel learning. ICML 2009: 1065-1072 - [c7]Teófilo Emídio de Campos, Bodla Rakesh Babu, Manik Varma:
Character Recognition in Natural Images. VISAPP (2) 2009: 273-280 - 2007
- [j3]Neeharika Adabala, Manik Varma, Kentaro Toyama
Computer aided generation of stylized maps. Comput. Animat. Virtual Worlds 18(2): 133-140 (2007) - [c6]Manik Varma, Rahul Garg:
Locally Invariant Fractal Features for Statistical Texture Classification. ICCV 2007: 1-8 - [c5]Manik Varma, Debajyoti Ray:
Learning The Discriminative Power-Invariance Trade-Off. ICCV 2007: 1-8 - 2005
- [j2]Manik Varma, Andrew Zisserman:
A Statistical Approach to Texture Classification from Single Images. Int. J. Comput. Vis. 62(1-2): 61-81 (2005) - 2004
- [j1]Manik Varma, Andrew Zisserman:
Unifying statistical texture classification frameworks. Image Vis. Comput. 22(14): 1175-1183 (2004) - [c4]Manik Varma, Andrew Zisserman:
Estimating Illumination Direction from Textured Images. CVPR (1) 2004: 179-186 - 2003
- [c3]Manik Varma, Andrew Zisserman:
Texture Classification: Are Filter Banks Necessary? CVPR (2) 2003: 691-698 - 2002
- [c2]Manik Varma, Andrew Zisserman:
Classifying Images of Materials: Achieving Viewpoint and Illumination Independence. ECCV (3) 2002: 255-271 - [c1]Manik Varma, Andrew Zisserman:
Statistical Approaches to Material Classification. ICVGIP 2002
Coauthor Index
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last updated on 2024-10-22 20:13 CEST by the dblp team
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