Zero-Shot Learning Across Heterogeneous Overlapping Domains. - Anjishnu Kumar; Pavankumar Reddy Muddireddy; Markus Dreyer; Björn Hoffmeister (INTERSPEECH, 2017)

Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding. - Anjishnu Kumar; Arpit Gupta; Julian Chan; Sam Tucker; Björn Hoffmeister; Markus Dreyer (CoRR, 2017)

Efficient Large-Scale Neural Domain Classification with Personalized Attention. - Young-Bum Kim; Dongchan Kim; Anjishnu Kumar; Ruhi Sarikaya (ACL (1), 2018)

Efficient Large-Scale Domain Classification with Personalized Attention. - Young-Bum Kim; Dongchan Kim; Anjishnu Kumar; Ruhi Sarikaya (CoRR, 2018)

Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning. - Daniele Bonadiman; Anjishnu Kumar; Arpit Mittal (W-NUT@EMNLP, 2019)

Learning When Not to Answer: a Ternary Reward Structure for Reinforcement Learning Based Question Answering. - Fréderic Godin; Anjishnu Kumar; Arpit Mittal (NAACL-HLT (2), 2019)

Using Ternary Rewards to Reason over Knowledge Graphs with Deep Reinforcement Learning. - Fréderic Godin; Anjishnu Kumar; Arpit Mittal (CoRR, 2019)

Learning to Retrieve Engaging Follow-Up Queries. - Christopher Richardson; Sudipta Kar; Anjishnu Kumar; Anand Ramachandran 001; Zeynab Raeesy; Omar Zia Khan; Abhinav Sethy (EACL (Findings), 2023)