Anitha Kannan

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 43

Top Topics

Medical Diagnosis

Top Venues

Publications

Albert Yu Sun, Varun Nair, Elliot Schumacher, Anitha Kannan
CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants. NAACL-HLT (2024)
Maksim Eremeev, Ilya Valmianski, Xavier Amatriain, Anitha Kannan
Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue. ACL (1) (2023)
Varun Nair, Elliot Schumacher, Geoffrey J. Tso, Anitha Kannan
DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents. CoRR (2023)
Albert Yu Sun, Varun Nair, Elliot Schumacher, Anitha Kannan
CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants. CoRR (2023)
Varun Nair, Elliot Schumacher, Anitha Kannan
Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models. ClinicalNLP@ACL (2023)
Maksim Eremeev, Ilya Valmianski, Xavier Amatriain, Anitha Kannan
Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue. CoRR (2023)
Mengqian Wang, Ilya Valmianski, Xavier Amatriain, Anitha Kannan
Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach. MLHC (2023)
Varun Nair, Elliot Schumacher, Anitha Kannan
Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models. CoRR (2023)
Elliot Schumacher, Daniel Rosenthal, Varun Nair, Luladay Price, Geoffrey J. Tso, Anitha Kannan
Extrinsically-Focused Evaluation of Omissions in Medical Summarization. CoRR (2023)
Jian Zhu, Ilya Valmianski, Anitha Kannan
Dialogue-Contextualized Re-ranking for Medical History-Taking. CoRR (2023)
Jian Zhu, Ilya Valmianski, Anitha Kannan
Dialogue-Contextualized Re-ranking for Medical History-Taking. MLHC (2023)
Raymond Li, Ilya Valmianski, Li Deng, Xavier Amatriain, Anitha Kannan
OSLAT: Open Set Label Attention Transformer for Medical Entity Span Extraction. CoRR (2022)
Raymond Li, Ilya Valmianski, Li Deng, Xavier Amatriain, Anitha Kannan
OSLAT: Open Set Label Attention Transformer for Medical Entity Retrieval and Span Extraction. ML4H@NeurIPS (2022)
Mengqian Wang, Ilya Valmianski, Xavier Amatriain, Anitha Kannan
Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach. CoRR (2022)
Rhys Compton, Ilya Valmianski, Li Deng, Costa Huang, Namit Katariya, Xavier Amatriain, Anitha Kannan
MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog System. ML4H@NeurIPS (2021)
Bharath Chintagunta, Namit Katariya, Xavier Amatriain, Anitha Kannan
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization. MLHC (2021)
Rhys Compton, Ilya Valmianski, Li Deng, Costa Huang, Namit Katariya, Xavier Amatriain, Anitha Kannan
MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog System. CoRR (2021)
Varun Nair, Namit Katariya, Xavier Amatriain, Ilya Valmianski, Anitha Kannan
Adding more data does not always help: A study in medical conversation summarization with PEGASUS. CoRR (2021)
Bharath Chintagunta, Namit Katariya, Xavier Amatriain, Anitha Kannan
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization. CoRR (2021)
Anirudh Joshi, Namit Katariya, Xavier Amatriain, Anitha Kannan
Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures. CoRR (2020)
Anirudh Joshi, Namit Katariya, Xavier Amatriain, Anitha Kannan
Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures. EMNLP (Findings) (2020)
Ali Mottaghi, Prathusha K. Sarma, Xavier Amatriain, Serena Yeung, Anitha Kannan
Medical symptom recognition from patient text: An active learning approach for long-tailed multilabel distributions. CoRR (2020)
Anitha Kannan, Richard Chen, Vignesh Venkataraman, Geoffrey J. Tso, Xavier Amatriain
COVID-19 in differential diagnosis of online symptom assessments. CoRR (2020)
Clara H. McCreery, Namit Katariya, Anitha Kannan, Manish Chablani, Xavier Amatriain
Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs. CoRR (2020)
Clara H. McCreery, Namit Katariya, Anitha Kannan, Manish Chablani, Xavier Amatriain
Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs. KDD (2020)
Viraj Prabhu, Anitha Kannan, Geoffrey J. Tso, Namit Katariya, Manish Chablani, David A. Sontag, Xavier Amatriain
Open Set Medical Diagnosis. CoRR (2019)
Sam Shleifer, Manish Chablani, Anitha Kannan, Namit Katariya, Xavier Amatriain
Classification as Decoder: Trading Flexibility for Control in Medical Dialogue. CoRR (2019)
Clara McCreery, Namit Katariya, Anitha Kannan, Manish Chablani, Xavier Amatriain
Domain-Relevant Embeddings for Medical Question Similarity. CoRR (2019)
Anitha Kannan, Jason Alan Fries, Eric Kramer, Jen Jen Chen, Nigam Shah, Xavier Amatriain
The accuracy vs. coverage trade-off in patient-facing diagnosis models. CoRR (2019)
Sam Shleifer, Manish Chablani, Namit Katariya, Anitha Kannan, Xavier Amatriain
Classification As Decoder: Trading Flexibility For Control In Neural Dialogue. CoRR (2019)
Viraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chaplain, David A. Sontag, Xavier Amatriain
Few-Shot Learning for Dermatological Disease Diagnosis. MLHC (2019)
Viraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chablani, David A. Sontag, Xavier Amatriain
Prototypical Clustering Networks for Dermatological Disease Diagnosis. CoRR (2018)
Ashwin Kalyan, Stefan Lee, Anitha Kannan, Dhruv Batra
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations. ICML (2018)
Ashwin Kalyan, Stefan Lee, Anitha Kannan, Dhruv Batra
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations. CoRR (2018)
Murali Ravuri, Anitha Kannan, Geoffrey J. Tso, Xavier Amatriain
Learning from the experts: From expert systems to machine-learned diagnosis models. MLHC (2018)
Murali Ravuri, Anitha Kannan, Geoffrey J. Tso, Xavier Amatriain
Learning from the experts: From expert systems to machine learned diagnosis models. CoRR (2018)
Jianwei Yang, Anitha Kannan, Dhruv Batra, Devi Parikh
LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation. ICLR (Poster) (2017)
Jiasen Lu, Anitha Kannan, Jianwei Yang, Devi Parikh, Dhruv Batra
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model. NIPS (2017)
Will Feng, Anitha Kannan, Georgia Gkioxari, C. Lawrence Zitnick
Learn2Smile: Learning non-verbal interaction through observation. IROS (2017)
Jianwei Yang, Anitha Kannan, Dhruv Batra, Devi Parikh
LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation. CoRR (2017)
Serena Yeung, Anitha Kannan, Yann N. Dauphin, Li Fei-Fei
Tackling Over-pruning in Variational Autoencoders. CoRR (2017)
Jiasen Lu, Anitha Kannan, Jianwei Yang, Devi Parikh, Dhruv Batra
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model. CoRR (2017)
Joost R. van Amersfoort, Anitha Kannan, Marc'Aurelio Ranzato, Arthur Szlam, Du Tran, Soumith Chintala
Transformation-Based Models of Video Sequences. CoRR (2017)
Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
Similarity Search using Concept Graphs. CIKM (2014)
Anitha Kannan, Simon Baker, Krishnan Ramnath, Juliet Fiss, Dahua Lin, Lucy Vanderwende, Rizwan Ansary, Ashish Kapoor, Qifa Ke, Matt Uyttendaele, Xin-Jing Wang, Lei Zhang
Mining text snippets for images on the web. KDD (2014)
Soroosh Mariooryad, Anitha Kannan, Dilek Hakkani-Tür, Elizabeth Shriberg
Automatic characterization of speaking styles in educational videos. ICASSP (2014)
Marios Kokkodis, Anitha Kannan, Krishnaram Kenthapadi
Assigning Educational Videos at Appropriate Locations in Textbooks. EDM (2014)
Marios Kokkodis, Anitha Kannan, Krishnaram Kenthapadi
Assigning videos to textbooks at appropriate granularity. L@S (2014)
Abhimanyu Das, Anitha Kannan
Discovering Topical Aspects in Microblogs. COLING (2014)
Rakesh Agrawal, Maria Christoforaki, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi, Adith Swaminathan
Mining Videos from the Web for Electronic Textbooks. ICFCA (2014)
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
AutoCaption: Automatic caption generation for personal photos. WACV (2014)
Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
Studying from electronic textbooks. CIKM (2013)
Irina Rusinova, Sam Forster, Simon Yu, Anitha Kannan, Marion Masse, Helen Cumming, Ross Chapman, Paul J. Hertzog
INTERFEROME v2.0: an updated database of annotated interferon-regulated genes. Nucleic Acids Res. 41 (Database-Issue) (2013)
Rakesh Agrawal, Sunandan Chakraborty, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
Quality of textbooks: an empirical study. ACM DEV (2012)
Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
Electronic Textbooks and Data Mining. WAIM (2012)
Rakesh Agrawal, Sunandan Chakraborty, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
Empowering authors to diagnose comprehension burden in textbooks. KDD (2012)
Ariel Fuxman, Anitha Kannan, Zhenhui Li, Panayiotis Tsaparas
Enabling direct interest-aware audience selection. CIKM (2012)
Sreenivas Gollapudi, Samuel Ieong, Anitha Kannan
Structured Query Reformulations in Commerce Search CoRR (2012)
Yi Yang, Simon Baker, Anitha Kannan, Deva Ramanan
Recognizing proxemics in personal photos. CVPR (2012)
Rakesh Agrawal, Ariel Fuxman, Anitha Kannan, John C. Shafer, Partha Pratim Talukdar
Associating structured records to text documents. WWW (Companion Volume) (2012)
Thomas Lin, Patrick Pantel, Michael Gamon, Anitha Kannan, Ariel Fuxman
Active objects: actions for entity-centric search. WWW (2012)
Sreenivas Gollapudi, Samuel Ieong, Anitha Kannan
Structured query reformulations in commerce search. CIKM (2012)
Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
Enriching Education through Data Mining. PReMI (2011)
Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
Data mining for improving textbooks. SIGKDD Explor. 13 (2) (2011)
Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
Identifying enrichment candidates in textbooks. WWW (Companion Volume) (2011)
Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
Enriching textbooks with images. CIKM (2011)
Anitha Kannan, Partha Pratim Talukdar, Nikhil Rasiwasia, Qifa Ke
Improving Product Classification Using Images. ICDM (2011)
Anitha Kannan, Inmar E. Givoni, Rakesh Agrawal, Ariel Fuxman
Matching unstructured product offers to structured product specifications. KDD (2011)
Kai Ni, Anitha Kannan, Antonio Criminisi, John M. Winn
Epitomic Location Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 31 (12) (2009)
Fan Guo, Chao Liu, Anitha Kannan, Tom Minka, Michael J. Taylor, Yi Min Wang, Christos Faloutsos
Click chain model in web search. WWW (2009)
Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, Rakesh Agrawal, Panayiotis Tsaparas, John C. Shafer
Improving classification accuracy using automatically extracted training data. KDD (2009)
Oliver Stegle, Anitha Kannan, Richard Durbin, John M. Winn
Accounting for Non-genetic Factors Improves the Power of eQTL Studies. RECOMB (2008)
Anitha Kannan, Nebojsa Jojic, Brendan J. Frey
Fast Transformation-Invariant Component Analysis. Int. J. Comput. Vis. 77 (1-3) (2008)
Kai Ni, Anitha Kannan, Antonio Criminisi, John M. Winn
Epitomic location recognition. CVPR (2008)
Anitha Kannan, Andrew Emili, Brendan J. Frey
A Bayesian Model That Links Microarray mRNA Measurements to Mass Spectrometry Protein Measurements. RECOMB (2007)
Jim C. Huang, Anitha Kannan, John M. Winn
Bayesian association of haplotypes and non-genetic factors to regulatory and phenotypic variation in human populations. ISMB/ECCB (Supplement of Bioinformatics) (2007)
Julia A. Lasserre, Anitha Kannan, John M. Winn
Hybrid learning of large jigsaws. CVPR (2007)
Anitha Kannan, John M. Winn, Carsten Rother
Clustering appearance and shape by learning jigsaws. NIPS (2006)
Anitha Kannan, Nebojsa Jojic, Brendan J. Frey
Generative Model for Layers of Appearance and Deformation. AISTATS (2005)
Anitha Kannan, Brendan J. Frey, Nebojsa Jojic
A Generative Model of Dense Optical Flow in Layers. SCVMA (2004)
Brendan J. Frey, Nebojsa Jojic, Anitha Kannan
Learning Appearance and Transparency Manifolds of Occluded Objects in Layers. CVPR (1) (2003)
Nebojsa Jojic, Brendan J. Frey, Anitha Kannan
Epitomic analysis of appearance and shape. ICCV (2003)
Anitha Kannan, Nebojsa Jojic, Brendan J. Frey
Fast Transformation-Invariant Factor Analysis. NIPS (2002)
Brendan J. Frey, Anitha Kannan, Nebojsa Jojic
Product Analysis: Learning to Model Observations as Products of Hidden Variables. NIPS (2001)
Brendan J. Frey, Anitha Kannan
Accumulator Networks: Suitors of Local Probability Propagation. NIPS (2000)