Kannan, Anitha

21 publications

MLHC 2025 Rare Disease Differential Diagnosis with Large Language Models at Scale: From Abdominal Actinomycosis to Wilson’s Disease Elliot Schumacher, Dhruv Naik, Anitha Kannan

NeurIPSW 2024 MED-OMIT: Extrinsically-Focused Evaluation Metric for Omissions in Medical Summarization Elliot Schumacher, Daniel Rosenthal, Dhruv Naik, Varun Nair, Luladay Price, Geoff Tso, Anitha Kannan

MLHC 2023 Dialogue-Contextualized Re-Ranking for Medical History-Taking Jian Zhu, Ilya Valmianski, Anitha Kannan

MLHC 2023 Learning Functional Sections in Medical Conversations: Iterative Pseudo-Labeling and Human-in-the-Loop Approach Mengqian Wang, Ilya Valmianski, Xavier Amatriain, Anitha Kannan

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

MLHC 2019 Few-Shot Learning for Dermatological Disease Diagnosis Viraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chaplain, David Sontag, Xavier Amatriain

ICML 2018 Learn from Your Neighbor: Learning Multi-Modal Mappings from Sparse Annotations Ashwin Kalyan, Stefan Lee, Anitha Kannan, Dhruv Batra

MLHC 2018 Learning from the Experts: From Expert Systems to Machine-Learned Diagnosis Models Murali Ravuri, Anitha Kannan, Geoffrey J. Tso, Xavier Amatriain

NeurIPS 2017 Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model Jiasen Lu, Anitha Kannan, Jianwei Yang, Devi Parikh, Dhruv Batra

ICLR 2017 LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation Jianwei Yang, Anitha Kannan, Dhruv Batra, Devi Parikh

WACV 2014 AutoCaption: Automatic Caption Generation for Personal Photos Krishnan Ramnath, Simon Baker, Lucy Vanderwende, Motaz Ahmad El-Saban, Sudipta N. Sinha, Anitha Kannan, Noran Hassan, Michel Galley, Yi Yang, Deva Ramanan, Alessandro Bergamo, Lorenzo Torresani

CVPR 2012 Recognizing Proxemics in Personal Photos Yi Yang, Simon Baker, Anitha Kannan, Deva Ramanan

CVPR 2008 Epitomic Location Recognition Kai Ni, Anitha Kannan, Antonio Criminisi, John M. Winn

CVPR 2007 Hybrid Learning of Large Jigsaws Julia A. Lasserre, Anitha Kannan, John M. Winn

NeurIPS 2006 Clustering Appearance and Shape by Learning Jigsaws Anitha Kannan, John Winn, Carsten Rother

AISTATS 2005 Generative Model for Layers of Appearance and Deformation Anitha Kannan, Nebojsa Jojic, Brendan Frey

ICCV 2003 Epitomic Analysis of Appearance and Shape Nebojsa Jojic, Brendan J. Frey, Anitha Kannan

CVPR 2003 Learning Appearance and Transparency Manifolds of Occluded Objects in Layers Brendan J. Frey, Nebojsa Jojic, Anitha Kannan

NeurIPS 2002 Fast Transformation-Invariant Factor Analysis Anitha Kannan, Nebojsa Jojic, Brendan Frey

NeurIPS 2001 Product Analysis: Learning to Model Observations as Products of Hidden Variables Brendan J. Frey, Anitha Kannan, Nebojsa Jojic

NeurIPS 2000 Accumulator Networks: Suitors of Local Probability Propagation Brendan J. Frey, Anitha Kannan