Accumulator Networks: Suitors of Local Probability Propagation. - Brendan J. Frey; Anitha Kannan (NIPS, 2000)

Product Analysis: Learning to Model Observations as Products of Hidden Variables. - Brendan J. Frey; Anitha Kannan; Nebojsa Jojic (NIPS, 2001)

Fast Transformation-Invariant Factor Analysis. - Anitha Kannan; Nebojsa Jojic; Brendan J. Frey (NIPS, 2002)

Learning Appearance and Transparency Manifolds of Occluded Objects in Layers. - Brendan J. Frey; Nebojsa Jojic; Anitha Kannan (CVPR (1), 2003)

Epitomic analysis of appearance and shape. - Nebojsa Jojic; Brendan J. Frey; Anitha Kannan (ICCV, 2003)

A Generative Model of Dense Optical Flow in Layers. - Anitha Kannan; Brendan J. Frey; Nebojsa Jojic (SCVMA, 2004)

Generative Model for Layers of Appearance and Deformation. - Anitha Kannan; Nebojsa Jojic; Brendan J. Frey (AISTATS, 2005)

Clustering appearance and shape by learning jigsaws. - Anitha Kannan; John M. Winn; Carsten Rother (NIPS, 2006)

Hybrid learning of large jigsaws. - Julia A. Lasserre; Anitha Kannan; John M. Winn (CVPR, 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 (ISMB/ECCB (Supplement of Bioinformatics), 2007)

A Bayesian Model That Links Microarray mRNA Measurements to Mass Spectrometry Protein Measurements. - Anitha Kannan; Andrew Emili; Brendan J. Frey (RECOMB, 2007)

Generative models for 2-D images of 3-D scenes. - Anitha Kannan (2007)

Accounting for Non-genetic Factors Improves the Power of eQTL Studies. - Oliver Stegle; Anitha Kannan; Richard Durbin; John M. Winn (RECOMB, 2008)

Fast Transformation-Invariant Component Analysis. - Anitha Kannan; Nebojsa Jojic; Brendan J. Frey (Int. J. Comput. Vis., 2008)

Improving classification accuracy using automatically extracted training data. - Ariel Fuxman; Anitha Kannan; Andrew B. Goldberg; Rakesh Agrawal 001; Panayiotis Tsaparas; John C. Shafer (KDD, 2009)

Click chain model in web search. - Fan Guo 006; Chao Liu 001; Anitha Kannan; Tom Minka; Michael J. Taylor 001; Yi Min Wang; Christos Faloutsos (WWW, 2009)

Epitomic Location Recognition. - Kai Ni; Anitha Kannan; Antonio Criminisi; John M. Winn (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Enriching textbooks with images. - Rakesh Agrawal 001; Sreenivas Gollapudi; Anitha Kannan; Krishnaram Kenthapadi (CIKM, 2011)

Improving Product Classification Using Images. - Anitha Kannan; Partha Pratim Talukdar; Nikhil Rasiwasia; Qifa Ke (ICDM, 2011)

Matching unstructured product offers to structured product specifications. - Anitha Kannan; Inmar E. Givoni; Rakesh Agrawal 001; Ariel Fuxman (KDD, 2011)

Enriching Education through Data Mining. - Rakesh Agrawal 001; Sreenivas Gollapudi; Anitha Kannan; Krishnaram Kenthapadi (PReMI, 2011)

Identifying enrichment candidates in textbooks. - Rakesh Agrawal 001; Sreenivas Gollapudi; Anitha Kannan; Krishnaram Kenthapadi (WWW (Companion Volume), 2011)

Data mining for improving textbooks. - Rakesh Agrawal 001; Sreenivas Gollapudi; Anitha Kannan; Krishnaram Kenthapadi (SIGKDD Explor., 2011)

Enabling direct interest-aware audience selection. - Ariel Fuxman; Anitha Kannan; Zhenhui Li; Panayiotis Tsaparas (CIKM, 2012)

Structured query reformulations in commerce search. - Sreenivas Gollapudi; Samuel Ieong; Anitha Kannan (CIKM, 2012)

Recognizing proxemics in personal photos. - Yi Yang 007; Simon Baker; Anitha Kannan; Deva Ramanan (CVPR, 2012)

Quality of textbooks: an empirical study. - Rakesh Agrawal 001; Sunandan Chakraborty; Sreenivas Gollapudi; Anitha Kannan; Krishnaram Kenthapadi (ACM DEV, 2012)

Empowering authors to diagnose comprehension burden in textbooks. - Rakesh Agrawal 001; Sunandan Chakraborty; Sreenivas Gollapudi; Anitha Kannan; Krishnaram Kenthapadi (KDD, 2012)

Electronic Textbooks and Data Mining. - Rakesh Agrawal 001; Sreenivas Gollapudi; Anitha Kannan; Krishnaram Kenthapadi (WAIM, 2012)

Associating structured records to text documents. - Rakesh Agrawal 001; Ariel Fuxman; Anitha Kannan; John C. Shafer; Partha Pratim Talukdar (WWW (Companion Volume), 2012)

Active objects: actions for entity-centric search. - Thomas Lin; Patrick Pantel; Michael Gamon; Anitha Kannan; Ariel Fuxman (WWW, 2012)

Studying from electronic textbooks. - Rakesh Agrawal 001; Sreenivas Gollapudi; Anitha Kannan; Krishnaram Kenthapadi (CIKM, 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)

Similarity Search using Concept Graphs. - Rakesh Agrawal 001; Sreenivas Gollapudi; Anitha Kannan; Krishnaram Kenthapadi (CIKM, 2014)

Discovering Topical Aspects in Microblogs. - Abhimanyu Das; Anitha Kannan (COLING, 2014)

Assigning Educational Videos at Appropriate Locations in Textbooks. - Marios Kokkodis; Anitha Kannan; Krishnaram Kenthapadi (EDM, 2014)

Automatic characterization of speaking styles in educational videos. - Soroosh Mariooryad; Anitha Kannan; Dilek Hakkani-Tür; Elizabeth Shriberg (ICASSP, 2014)

Mining Videos from the Web for Electronic Textbooks. - Rakesh Agrawal 001; Maria Christoforaki; Sreenivas Gollapudi; Anitha Kannan; Krishnaram Kenthapadi; Adith Swaminathan (ICFCA, 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 001 (KDD, 2014)

Assigning videos to textbooks at appropriate granularity. - Marios Kokkodis; Anitha Kannan; Krishnaram Kenthapadi (L@S, 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 007; Deva Ramanan; Alessandro Bergamo; Lorenzo Torresani (WACV, 2014)

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

Learn2Smile: Learning non-verbal interaction through observation. - Will Feng; Anitha Kannan; Georgia Gkioxari; C. Lawrence Zitnick (IROS, 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 (NIPS, 2017)

Transformation-Based Models of Video Sequences. - Joost R. van Amersfoort; Anitha Kannan; Marc'Aurelio Ranzato; Arthur Szlam; Du Tran; Soumith Chintala (CoRR, 2017)

Tackling Over-pruning in Variational Autoencoders. - Serena Yeung; Anitha Kannan; Yann N. Dauphin; Li Fei-Fei 001 (CoRR, 2017)

Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations. - Ashwin Kalyan; Stefan Lee; Anitha Kannan; Dhruv Batra (ICML, 2018)

Learning from the experts: From expert systems to machine-learned diagnosis models. - Murali Ravuri; Anitha Kannan; Geoffrey J. Tso; Xavier Amatriain (MLHC, 2018)

Prototypical Clustering Networks for Dermatological Disease Diagnosis. - Viraj Prabhu; Anitha Kannan; Murali Ravuri; Manish Chablani; David A. Sontag; Xavier Amatriain (CoRR, 2018)

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

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)

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)

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)

COVID-19 in differential diagnosis of online symptom assessments. - Anitha Kannan; Richard Chen; Vignesh Venkataraman; Geoffrey J. Tso; Xavier Amatriain (CoRR, 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)

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)

OSLAT: Open Set Label Attention Transformer for Medical Entity Retrieval and Span Extraction. - Raymond Li; Ilya Valmianski; Li Deng; Xavier Amatriain; Anitha Kannan (ML4H@NeurIPS, 2022)

OSLAT: Open Set Label Attention Transformer for Medical Entity Span Extraction. - Raymond Li; Ilya Valmianski; Li Deng; Xavier Amatriain; Anitha Kannan (CoRR, 2022)

Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models. - Varun Nair; Elliot Schumacher; Anitha Kannan (ClinicalNLP@ACL, 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 (ACL (1), 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, 2023)

Dialogue-Contextualized Re-ranking for Medical History-Taking. - Jian Zhu; Ilya Valmianski; Anitha Kannan (MLHC, 2023)

Extrinsically-Focused Evaluation of Omissions in Medical Summarization. - Elliot Schumacher; Daniel Rosenthal; Varun Nair; Luladay Price; Geoffrey J. Tso; Anitha Kannan (CoRR, 2023)

DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents. - Varun Nair; Elliot Schumacher; Geoffrey J. Tso; Anitha Kannan (ClinicalNLP@NAACL, 2024)

MED-OMIT: Extrinsically-Focused Evaluation Metric for Omissions in Medical Summarization. - Elliot Schumacher; Daniel Rosenthal; Dhruv Naik; Varun Nair; Luladay Price; Geoffrey J. Tso; Anitha Kannan (ML4H@NeurIPS, 2024)

CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants. - Albert Yu Sun; Varun Nair; Elliot Schumacher; Anitha Kannan (NAACL-HLT, 2024)

Rare Disease Differential Diagnosis with Large Language Models at Scale: From Abdominal Actinomycosis to Wilson's Disease. - Elliot Schumacher; Dhruv Naik; Anitha Kannan (CoRR, 2025)