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2020 – today
- 2023
[c5]Christopher Richardson, Sudipta Kar, Anjishnu Kumar, Anand Ramachandran, Zeynab Raeesy, Omar Zia Khan, Abhinav Sethy:
Learning to Retrieve Engaging Follow-Up Queries. EACL (Findings) 2023: 1964-1971- [i5]Christopher Richardson, Sudipta Kar, Anjishnu Kumar, Anand Ramachandran, Omar Zia Khan, Zeynab Raeesy, Abhinav Sethy:
Learning to Retrieve Engaging Follow-Up Queries. CoRR abs/2302.10978 (2023)
2010 – 2019
- 2019
- [c4]Daniele Bonadiman, Anjishnu Kumar, Arpit Mittal:
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning. W-NUT@EMNLP 2019: 68-75 - [c3]Fréderic Godin, Anjishnu Kumar, Arpit Mittal:
Learning When Not to Answer: a Ternary Reward Structure for Reinforcement Learning Based Question Answering. NAACL-HLT (2) 2019: 122-129 - [i4]Fréderic Godin, Anjishnu Kumar, Arpit Mittal:
Using Ternary Rewards to Reason over Knowledge Graphs with Deep Reinforcement Learning. CoRR abs/1902.10236 (2019) - [i3]Daniele Bonadiman, Anjishnu Kumar, Arpit Mittal:
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning. CoRR abs/1905.12786 (2019) - 2018
- [c2]Young-Bum Kim, Dongchan Kim, Anjishnu Kumar, Ruhi Sarikaya:
Efficient Large-Scale Neural Domain Classification with Personalized Attention. ACL (1) 2018: 2214-2224 - [i2]Young-Bum Kim, Dongchan Kim, Anjishnu Kumar, Ruhi Sarikaya:
Efficient Large-Scale Domain Classification with Personalized Attention. CoRR abs/1804.08065 (2018) - 2017
- [c1]Anjishnu Kumar, Pavankumar Reddy Muddireddy, Markus Dreyer, Björn Hoffmeister:
Zero-Shot Learning Across Heterogeneous Overlapping Domains. INTERSPEECH 2017: 2914-2918 - [i1]Anjishnu Kumar, Arpit Gupta, Julian Chan, Sam Tucker, Björn Hoffmeister, Markus Dreyer:
Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding. CoRR abs/1711.00549 (2017)
Coauthor Index
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