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2020 – today
- 2023
[c9]Tushar Chandra
, Anoop Namboodiri:
An Efficient Model for Non-Distal Presentation Attack Detection✱. ICVGIP 2023: 37:1-37:9- 2021
- [c8]Sukhdeep S. Sodhi, Ellie Ka In Chio, Ambarish Jash, Santiago Ontañón, Ajit Apte, Ankit Kumar, Ayooluwakunmi Jeje, Dima Kuzmin, Harry Fung, Heng-Tze Cheng, Jon Effrat, Tarush Bali, Nitin Jindal, Pei Cao, Sarvjeet Singh, Senqiang Zhou, Tameen Khan, Amol Wankhede, Moustafa Alzantot, Allen Wu, Tushar Chandra:
Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries. KDD 2021: 3569-3575 - [i4]Sukhdeep S. Sodhi, Ellie Ka In Chio, Ambarish Jash, Santiago Ontañón, Ajit Apte, Ankit Kumar, Ayooluwakunmi Jeje, Dima Kuzmin, Harry Fung, Heng-Tze Cheng, Jon Effrat, Tarush Bali, Nitin Jindal, Pei Cao, Sarvjeet Singh, Senqiang Zhou, Tameen Khan, Amol Wankhede, Moustafa Alzantot, Allen Wu, Tushar Chandra:
Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries. CoRR abs/2105.09930 (2021) - 2020
- [c7]Tao Wu, Ellie Ka In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John R. Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao:
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. CIKM 2020: 2821-2828 - [i3]Tao Wu, Ellie Ka In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John R. Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao:
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. CoRR abs/2008.02930 (2020)
2010 – 2019
- 2019
- [c6]Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Tushar Chandra, Craig Boutilier:
SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets. IJCAI 2019: 2592-2599 - [i2]Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Morgane Lustman, Vince Gatto, Paul Covington, Jim McFadden, Tushar Chandra, Craig Boutilier:
Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology. CoRR abs/1905.12767 (2019) - 2016
- [c5]Heng-Tze Cheng, Levent Koc, Jeremiah Harmsen, Tal Shaked, Tushar Chandra, Hrishi Aradhye, Glen Anderson, Greg Corrado, Wei Chai, Mustafa Ispir, Rohan Anil, Zakaria Haque, Lichan Hong, Vihan Jain, Xiaobing Liu, Hemal Shah:
Wide & Deep Learning for Recommender Systems. DLRS@RecSys 2016: 7-10 - [i1]Heng-Tze Cheng, Levent Koc, Jeremiah Harmsen, Tal Shaked, Tushar Chandra, Hrishi Aradhye, Glen Anderson, Greg Corrado, Wei Chai, Mustafa Ispir, Rohan Anil, Zakaria Haque, Lichan Hong, Vihan Jain, Xiaobing Liu, Hemal Shah:
Wide & Deep Learning for Recommender Systems. CoRR abs/1606.07792 (2016) - 2015
- [c4]Tushar Chandra:
Regressing Towards Simpler Prediction Systems. WSDM 2015: 335-336
2000 – 2009
- 2008
- [j1]Fay Chang, Jeffrey Dean, Sanjay Ghemawat, Wilson C. Hsieh, Deborah A. Wallach, Michael Burrows, Tushar Chandra, Andrew Fikes, Robert E. Gruber:
Bigtable: A Distributed Storage System for Structured Data. ACM Trans. Comput. Syst. 26(2): 4:1-4:26 (2008) - [c3]John C. Duchi, Shai Shalev-Shwartz, Yoram Singer, Tushar Chandra:
Efficient projections onto the l1-ball for learning in high dimensions. ICML 2008: 272-279 - 2006
- [c2]Fay Chang, Jeffrey Dean, Sanjay Ghemawat, Wilson C. Hsieh, Deborah A. Wallach, Michael Burrows, Tushar Chandra, Andrew Fikes, Robert Gruber:
Bigtable: A Distributed Storage System for Structured Data (Awarded Best Paper!). OSDI 2006: 205-218 - 2005
- [c1]Tushar Chandra, Gitanjali Gunnam, Joseph E. Urban:
Smart Online Placement Examination. Web Technologies, Applications, and Services 2005: 204-208
Coauthor Index
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