Anitha Kannan

According to our database, Anitha Kannan authored at least 71 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Extrinsically-Focused Evaluation of Omissions in Medical Summarization.

Elliot Schumacher, Daniel Rosenthal, Varun Nair, Luladay Price, Geoffrey J. Tso, Anitha Kannan

CoRR, 2023

CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants.

Albert Yu Sun, Varun Nair, Elliot Schumacher, Anitha Kannan

CoRR, 2023

DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents.

Varun Nair, Elliot Schumacher, Geoffrey J. Tso, Anitha Kannan

CoRR, 2023

Dialogue-Contextualized Re-ranking for Medical History-Taking.

Jian Zhu, Ilya Valmianski, Anitha Kannan

Proceedings of the Machine Learning for Healthcare Conference, 2023

Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach.

Mengqian Wang, Ilya Valmianski, Xavier Amatriain, Anitha Kannan

Proceedings of the Machine Learning for Healthcare Conference, 2023

Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue.

Maksim Eremeev, Ilya Valmianski, Xavier Amatriain, Anitha Kannan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models.

Varun Nair, Elliot Schumacher, Anitha Kannan

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

OSLAT: Open Set Label Attention Transformer for Medical Entity Span Extraction.

Raymond Li, Ilya Valmianski, Li Deng, Xavier Amatriain, Anitha Kannan

CoRR, 2022

OSLAT: Open Set Label Attention Transformer for Medical Entity Retrieval and Span Extraction.

Raymond Li, Ilya Valmianski, Li Deng, Xavier Amatriain, Anitha Kannan

Proceedings of the Machine Learning for Health, 2022

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

Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization.

Bharath Chintagunta, Namit Katariya, Xavier Amatriain, Anitha Kannan

Proceedings of the Machine Learning for Healthcare Conference, 2021

MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog System.

Rhys Compton, Ilya Valmianski, Li Deng, Costa Huang, Namit Katariya, Xavier Amatriain, Anitha Kannan

Proceedings of the Machine Learning for Health, 2021

2020

Medical symptom recognition from patient text: An active learning approach for long-tailed multilabel distributions.

Ali Mottaghi, Prathusha K. Sarma, Xavier Amatriain, Serena Yeung, Anitha Kannan

CoRR, 2020

COVID-19 in differential diagnosis of online symptom assessments.

Anitha Kannan, Richard Chen, Vignesh Venkataraman, Geoffrey J. Tso, Xavier Amatriain

CoRR, 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

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures.

Anirudh Joshi, Namit Katariya, Xavier Amatriain, Anitha Kannan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

The accuracy vs. coverage trade-off in patient-facing diagnosis models.

Anitha Kannan, Jason Alan Fries, Eric Kramer, Jen Jen Chen, Nigam Shah, 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

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 Neural Dialogue.

Sam Shleifer, Manish Chablani, Namit Katariya, Anitha Kannan, Xavier Amatriain

CoRR, 2019

Open Set Medical Diagnosis.

Viraj Prabhu, Anitha Kannan, Geoffrey J. Tso, Namit Katariya, Manish Chablani, David A. Sontag, Xavier Amatriain

CoRR, 2019

Few-Shot Learning for Dermatological Disease Diagnosis.

Viraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chaplain, David A. Sontag, Xavier Amatriain

Proceedings of the Machine Learning for Healthcare Conference, 2019

2018

Prototypical Clustering Networks for Dermatological Disease Diagnosis.

Viraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chablani, David A. Sontag, Xavier Amatriain

CoRR, 2018

Learning from the experts: From expert systems to machine-learned diagnosis models.

Murali Ravuri, Anitha Kannan, Geoffrey J. Tso, Xavier Amatriain

Proceedings of the Machine Learning for Healthcare Conference, 2018

Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations.

Ashwin Kalyan, Stefan Lee, Anitha Kannan, Dhruv Batra

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Tackling Over-pruning in Variational Autoencoders.

Serena Yeung, Anitha Kannan, Yann N. Dauphin, Li Fei-Fei

CoRR, 2017

Transformation-Based Models of Video Sequences.

Joost R. van Amersfoort, Anitha Kannan, Marc'Aurelio Ranzato, Arthur Szlam, Du Tran, Soumith Chintala

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learn2Smile: Learning non-verbal interaction through observation.

Will Feng, Anitha Kannan, Georgia Gkioxari, C. Lawrence Zitnick

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation.

Jianwei Yang, Anitha Kannan, Dhruv Batra, Devi Parikh

Proceedings of the 5th International Conference on Learning Representations, 2017

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

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Assigning videos to textbooks at appropriate granularity.

Marios Kokkodis, Anitha Kannan, Krishnaram Kenthapadi

Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014

Mining text snippets for images on the web.

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

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Mining Videos from the Web for Electronic Textbooks.

Rakesh Agrawal, Maria Christoforaki, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi, Adith Swaminathan

Proceedings of the Formal Concept Analysis - 12th International Conference, 2014

Automatic characterization of speaking styles in educational videos.

Soroosh Mariooryad, Anitha Kannan, Dilek Hakkani-Tür, Elizabeth Shriberg

Proceedings of the IEEE International Conference on Acoustics, 2014

Assigning Educational Videos at Appropriate Locations in Textbooks.

Marios Kokkodis, Anitha Kannan, Krishnaram Kenthapadi

Proceedings of the 7th International Conference on Educational Data Mining, 2014

Discovering Topical Aspects in Microblogs.

Abhimanyu Das, Anitha Kannan

Proceedings of the COLING 2014, 2014

Similarity Search using Concept Graphs.

Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

INTERFEROME v2.0: an updated database of annotated interferon-regulated genes.

Irina Rusinova, Sam Forster, Simon Yu, Anitha Kannan, Marion Masse, Helen Cumming, Ross Chapman, Paul J. Hertzog

Nucleic Acids Res., 2013

Studying from electronic textbooks.

Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Active objects: actions for entity-centric search.

Thomas Lin, Patrick Pantel, Michael Gamon, Anitha Kannan, Ariel Fuxman

Proceedings of the 21st World Wide Web Conference 2012, 2012

Associating structured records to text documents.

Rakesh Agrawal, Ariel Fuxman, Anitha Kannan, John C. Shafer, Partha Pratim Talukdar

Proceedings of the 21st World Wide Web Conference, 2012

Electronic Textbooks and Data Mining.

Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi

Proceedings of the Web-Age Information Management - 13th International Conference, 2012

Empowering authors to diagnose comprehension burden in textbooks.

Rakesh Agrawal, Sunandan Chakraborty, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Quality of textbooks: an empirical study.

Rakesh Agrawal, Sunandan Chakraborty, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi

Proceedings of the ACM Annual Symposium on Computing for Development, 2012

Recognizing proxemics in personal photos.

Yi Yang, Simon Baker, Anitha Kannan, Deva Ramanan

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Structured query reformulations in commerce search.

Sreenivas Gollapudi, Samuel Ieong, Anitha Kannan

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Enabling direct interest-aware audience selection.

Ariel Fuxman, Anitha Kannan, Zhenhui Li, Panayiotis Tsaparas

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Data mining for improving textbooks.

Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi

SIGKDD Explor., 2011

Identifying enrichment candidates in textbooks.

Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi

Proceedings of the 20th International Conference on World Wide Web, 2011

Enriching Education through Data Mining.

Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi

Proceedings of the Pattern Recognition and Machine Intelligence, 2011

Matching unstructured product offers to structured product specifications.

Anitha Kannan, Inmar E. Givoni, Rakesh Agrawal, Ariel Fuxman

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Improving Product Classification Using Images.

Anitha Kannan, Partha Pratim Talukdar, Nikhil Rasiwasia, Qifa Ke

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Enriching textbooks with images.

Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2009

Epitomic Location Recognition.

Kai Ni, Anitha Kannan, Antonio Criminisi, John M. Winn

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Click chain model in web search.

Fan Guo, Chao Liu, Anitha Kannan, Tom Minka, Michael J. Taylor, Yi Min Wang, Christos Faloutsos

Proceedings of the 18th International Conference on World Wide Web, 2009

Improving classification accuracy using automatically extracted training data.

Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, Rakesh Agrawal, Panayiotis Tsaparas, John C. Shafer

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008

Fast Transformation-Invariant Component Analysis.

Anitha Kannan, Nebojsa Jojic, Brendan J. Frey

Int. J. Comput. Vis., 2008

Accounting for Non-genetic Factors Improves the Power of eQTL Studies.

Oliver Stegle, Anitha Kannan, Richard Durbin, John M. Winn

Proceedings of the Research in Computational Molecular Biology, 2008

2007

Generative models for 2-D images of 3-D scenes.

Anitha Kannan

PhD thesis, 2007

A Bayesian Model That Links Microarray mRNA Measurements to Mass Spectrometry Protein Measurements.

Anitha Kannan, Andrew Emili, Brendan J. Frey

Proceedings of the Research in Computational Molecular Biology, 2007

Bayesian association of haplotypes and non-genetic factors to regulatory and phenotypic variation in human populations.

Jim C. Huang, Anitha Kannan, John M. Winn

Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

Hybrid learning of large jigsaws.

Julia A. Lasserre, Anitha Kannan, John M. Winn

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Clustering appearance and shape by learning jigsaws.

Anitha Kannan, John M. Winn, Carsten Rother

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005

Generative Model for Layers of Appearance and Deformation.

Anitha Kannan, Nebojsa Jojic, Brendan J. Frey

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

A Generative Model of Dense Optical Flow in Layers.

Anitha Kannan, Brendan J. Frey, Nebojsa Jojic

Proceedings of the Spatial Coherence for Visual Motion Analysis, 2004

2003

Epitomic analysis of appearance and shape.

Nebojsa Jojic, Brendan J. Frey, Anitha Kannan

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Learning Appearance and Transparency Manifolds of Occluded Objects in Layers.

Brendan J. Frey, Nebojsa Jojic, Anitha Kannan

Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2002

Fast Transformation-Invariant Factor Analysis.

Anitha Kannan, Nebojsa Jojic, Brendan J. Frey

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

Product Analysis: Learning to Model Observations as Products of Hidden Variables.

Brendan J. Frey, Anitha Kannan, Nebojsa Jojic

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000

Accumulator Networks: Suitors of Local Probability Propagation.

Brendan J. Frey, Anitha Kannan

Proceedings of the Advances in Neural Information Processing Systems 13, 2000