Active Evaluation of Classifiers on Large Datasets. - Namit Katariya; Arun Shankar Iyer; Sunita Sarawagi (ICDM, 2012)

Open Set Medical Diagnosis. - Viraj Prabhu; Anitha Kannan; Geoffrey J. Tso; Namit Katariya; Manish Chablani; David A. Sontag; Xavier Amatriain (CoRR, 2019)

Classification As Decoder: Trading Flexibility For Control In Neural Dialogue. - Sam Shleifer; Manish Chablani; Namit Katariya; Anitha Kannan; Xavier Amatriain (CoRR, 2019)

Domain-Relevant Embeddings for Medical Question Similarity. - Clara McCreery; Namit Katariya; Anitha Kannan; Manish Chablani; Xavier Amatriain (CoRR, 2019)

Classification as Decoder: Trading Flexibility for Control in Medical Dialogue. - Sam Shleifer; Manish Chablani; Anitha Kannan; Namit Katariya; Xavier Amatriain (CoRR, 2019)

Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures. - Anirudh Joshi; Namit Katariya; Xavier Amatriain; Anitha Kannan (EMNLP (Findings), 2020)

Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs. - Clara H. McCreery; Namit Katariya; Anitha Kannan; Manish Chablani; Xavier Amatriain (KDD, 2020)

MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog System. - Rhys Compton; Ilya Valmianski; Li Deng; Costa Huang; Namit Katariya; Xavier Amatriain; Anitha Kannan (ML4H@NeurIPS, 2021)

Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization. - Bharath Chintagunta; Namit Katariya; Xavier Amatriain; Anitha Kannan (MLHC, 2021)

Adding more data does not always help: A study in medical conversation summarization with PEGASUS. - Varun Nair; Namit Katariya; Xavier Amatriain; Ilya Valmianski; Anitha Kannan (CoRR, 2021)