Anitha Kannan - RankMe

91 papers A* 13A 8B 5C 1Misc 1Journal 33Unranked 28

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Rare Disease Differential Diagnosis with Large Language Models at Scale: From Abdominal Actinomycosis to Wilson's Disease. CoRR Elliot Schumacher, Dhruv Naik, Anitha Kannan
2025	—	`conf`	Rare Disease Differential Diagnosis with Large Language Models at Scale: From Abdominal Actinomycosis to Wilson’s Disease. MLHC Elliot Schumacher, Dhruv Naik, Anitha Kannan
2024	—	`conf`	CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants. NAACL-HLT Albert Yu Sun, Varun Nair, Elliot Schumacher, Anitha Kannan
2024	—	`conf`	DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents. ClinicalNLP@NAACL Varun Nair, Elliot Schumacher, Geoffrey J. Tso, Anitha Kannan
2024	—	`conf`	MED-OMIT: Extrinsically-Focused Evaluation Metric for Omissions in Medical Summarization. ML4H@NeurIPS Elliot Schumacher, Daniel Rosenthal, Dhruv Naik, Varun Nair, Luladay Price, Geoffrey J. Tso, Anitha Kannan
2023	J	`jnl`	CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants. CoRR Albert Yu Sun, Varun Nair, Elliot Schumacher, Anitha Kannan
2023	J	`jnl`	DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents. CoRR Varun Nair, Elliot Schumacher, Geoffrey J. Tso, Anitha Kannan
2023	—	`conf`	Dialogue-Contextualized Re-ranking for Medical History-Taking. MLHC Jian Zhu, Ilya Valmianski, Anitha Kannan
2023	J	`jnl`	Dialogue-Contextualized Re-ranking for Medical History-Taking. CoRR Jian Zhu, Ilya Valmianski, Anitha Kannan
2023	J	`jnl`	Extrinsically-Focused Evaluation of Omissions in Medical Summarization. CoRR Elliot Schumacher, Daniel Rosenthal, Varun Nair, Luladay Price, Geoffrey J. Tso, Anitha Kannan
2023	—	`conf`	Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models. ClinicalNLP@ACL Varun Nair, Elliot Schumacher, Anitha Kannan
2023	J	`jnl`	Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models. CoRR Varun Nair, Elliot Schumacher, Anitha Kannan
2023	—	`conf`	Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue. ACL (1) Maksim Eremeev, Ilya Valmianski, Xavier Amatriain, Anitha Kannan
2023	J	`jnl`	Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue. CoRR Maksim Eremeev, Ilya Valmianski, Xavier Amatriain, Anitha Kannan
2023	—	`conf`	Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach. MLHC Mengqian Wang, Ilya Valmianski, Xavier Amatriain, Anitha Kannan
2022	J	`jnl`	Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach. CoRR Mengqian Wang, Ilya Valmianski, Xavier Amatriain, Anitha Kannan
2022	—	`conf`	OSLAT: Open Set Label Attention Transformer for Medical Entity Retrieval and Span Extraction. ML4H@NeurIPS Raymond Li, Ilya Valmianski, Li Deng, Xavier Amatriain, Anitha Kannan
2022	J	`jnl`	OSLAT: Open Set Label Attention Transformer for Medical Entity Span Extraction. CoRR Raymond Li, Ilya Valmianski, Li Deng, Xavier Amatriain, Anitha Kannan
2021	J	`jnl`	Adding more data does not always help: A study in medical conversation summarization with PEGASUS. CoRR Varun Nair, Namit Katariya, Xavier Amatriain, Ilya Valmianski, Anitha Kannan
2021	—	`conf`	MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog System. ML4H@NeurIPS Rhys Compton, Ilya Valmianski, Li Deng, Costa Huang, Namit Katariya, Xavier Amatriain, Anitha Kannan
2021	J	`jnl`	MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog System. CoRR Rhys Compton, Ilya Valmianski, Li Deng, Costa Huang, Namit Katariya, Xavier Amatriain, Anitha Kannan
2021	—	`conf`	Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization. MLHC Bharath Chintagunta, Namit Katariya, Xavier Amatriain, Anitha Kannan
2021	J	`jnl`	Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization. CoRR Bharath Chintagunta, Namit Katariya, Xavier Amatriain, Anitha Kannan
2020	J	`jnl`	COVID-19 in differential diagnosis of online symptom assessments. CoRR Anitha Kannan, Richard Chen, Vignesh Venkataraman, Geoffrey J. Tso, Xavier Amatriain
2020	—	`conf`	Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures. EMNLP (Findings) Anirudh Joshi, Namit Katariya, Xavier Amatriain, Anitha Kannan
2020	J	`jnl`	Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures. CoRR Anirudh Joshi, Namit Katariya, Xavier Amatriain, Anitha Kannan
2020	A*	`conf`	Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs. KDD Clara H. McCreery, Namit Katariya, Anitha Kannan, Manish Chablani, Xavier Amatriain
2020	J	`jnl`	Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs. CoRR Clara H. McCreery, Namit Katariya, Anitha Kannan, Manish Chablani, Xavier Amatriain
2020	J	`jnl`	Medical symptom recognition from patient text: An active learning approach for long-tailed multilabel distributions. CoRR Ali Mottaghi, Prathusha K. Sarma, Xavier Amatriain, Serena Yeung, Anitha Kannan
2019	J	`jnl`	Classification As Decoder: Trading Flexibility For Control In Neural Dialogue. CoRR Sam Shleifer, Manish Chablani, Namit Katariya, Anitha Kannan, Xavier Amatriain
2019	J	`jnl`	Classification as Decoder: Trading Flexibility for Control in Medical Dialogue. CoRR Sam Shleifer, Manish Chablani, Anitha Kannan, Namit Katariya, Xavier Amatriain
2019	J	`jnl`	Domain-Relevant Embeddings for Medical Question Similarity. CoRR Clara McCreery, Namit Katariya, Anitha Kannan, Manish Chablani, Xavier Amatriain
2019	—	`conf`	Few-Shot Learning for Dermatological Disease Diagnosis. MLHC Viraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chaplain, David A. Sontag, Xavier Amatriain
2019	J	`jnl`	Open Set Medical Diagnosis. CoRR Viraj Prabhu, Anitha Kannan, Geoffrey J. Tso, Namit Katariya, Manish Chablani, David A. Sontag, Xavier Amatriain
2019	J	`jnl`	The accuracy vs. coverage trade-off in patient-facing diagnosis models. CoRR Anitha Kannan, Jason Alan Fries, Eric Kramer, Jen Jen Chen, Nigam Shah, Xavier Amatriain
2018	A*	`conf`	Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations. ICML Ashwin Kalyan, Stefan Lee, Anitha Kannan, Dhruv Batra
2018	J	`jnl`	Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations. CoRR Ashwin Kalyan, Stefan Lee, Anitha Kannan, Dhruv Batra
2018	J	`jnl`	Learning from the experts: From expert systems to machine learned diagnosis models. CoRR Murali Ravuri, Anitha Kannan, Geoffrey J. Tso, Xavier Amatriain
2018	—	`conf`	Learning from the experts: From expert systems to machine-learned diagnosis models. MLHC Murali Ravuri, Anitha Kannan, Geoffrey J. Tso, Xavier Amatriain
2018	J	`jnl`	Prototypical Clustering Networks for Dermatological Disease Diagnosis. CoRR Viraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chablani, David A. Sontag, Xavier Amatriain
2017	—	`conf`	Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model. NIPS Jiasen Lu, Anitha Kannan, Jianwei Yang, Devi Parikh, Dhruv Batra
2017	J	`jnl`	Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model. CoRR Jiasen Lu, Anitha Kannan, Jianwei Yang, Devi Parikh, Dhruv Batra
2017	—	`conf`	LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation. ICLR (Poster) Jianwei Yang, Anitha Kannan, Dhruv Batra, Devi Parikh
2017	J	`jnl`	LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation. CoRR Jianwei Yang, Anitha Kannan, Dhruv Batra, Devi Parikh
2017	A	`conf`	Learn2Smile: Learning non-verbal interaction through observation. IROS Will Feng, Anitha Kannan, Georgia Gkioxari, C. Lawrence Zitnick
2017	J	`jnl`	Tackling Over-pruning in Variational Autoencoders. CoRR Serena Yeung, Anitha Kannan, Yann N. Dauphin, Li Fei-Fei
2017	J	`jnl`	Transformation-Based Models of Video Sequences. CoRR Joost R. van Amersfoort, Anitha Kannan, Marc'Aurelio Ranzato, Arthur Szlam, Du Tran, Soumith Chintala
2014	B	`conf`	Assigning Educational Videos at Appropriate Locations in Textbooks. EDM Marios Kokkodis, Anitha Kannan, Krishnaram Kenthapadi
2014	B	`conf`	Assigning videos to textbooks at appropriate granularity. L@S Marios Kokkodis, Anitha Kannan, Krishnaram Kenthapadi
2014	A	`conf`	AutoCaption: Automatic caption generation for personal photos. WACV 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
2014	Misc	`conf`	Automatic characterization of speaking styles in educational videos. ICASSP Soroosh Mariooryad, Anitha Kannan, Dilek Hakkani-Tür, Elizabeth Shriberg
2014	B	`conf`	Discovering Topical Aspects in Microblogs. COLING Abhimanyu Das, Anitha Kannan
2014	C	`conf`	Mining Videos from the Web for Electronic Textbooks. ICFCA Rakesh Agrawal, Maria Christoforaki, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi, Adith Swaminathan
2014	A*	`conf`	Mining text snippets for images on the web. KDD 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
2014	—	`ed.`	Proceedings of the Fifth ACM Symposium on Computing for Development, ACM DEV 2014, San Jose, CA, USA, December 5-6, 2014 ACM DEV Anitha Kannan, Krishnaram Kenthapadi, Shankar Kalyanaraman, Marshini Chetty, Vanessa Frías-Martínez
2014	A	`conf`	Similarity Search using Concept Graphs. CIKM Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
2013	J	`jnl`	INTERFEROME v2.0: an updated database of annotated interferon-regulated genes. Nucleic Acids Res. Irina Rusinova, Sam Forster, Simon Yu, Anitha Kannan, Marion Masse, Helen Cumming, Ross Chapman, Paul J. Hertzog
2013	A	`conf`	Studying from electronic textbooks. CIKM Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
2012	A*	`conf`	Active objects: actions for entity-centric search. WWW Thomas Lin, Patrick Pantel, Michael Gamon, Anitha Kannan, Ariel Fuxman
2012	—	`conf`	Associating structured records to text documents. WWW (Companion Volume) Rakesh Agrawal, Ariel Fuxman, Anitha Kannan, John C. Shafer, Partha Pratim Talukdar
2012	—	`conf`	Electronic Textbooks and Data Mining. WAIM Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
2012	A*	`conf`	Empowering authors to diagnose comprehension burden in textbooks. KDD Rakesh Agrawal, Sunandan Chakraborty, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
2012	A	`conf`	Enabling direct interest-aware audience selection. CIKM Ariel Fuxman, Anitha Kannan, Zhenhui Li, Panayiotis Tsaparas
2012	—	`conf`	Quality of textbooks: an empirical study. ACM DEV Rakesh Agrawal, Sunandan Chakraborty, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
2012	A*	`conf`	Recognizing proxemics in personal photos. CVPR Yi Yang, Simon Baker, Anitha Kannan, Deva Ramanan
2012	J	`jnl`	Structured Query Reformulations in Commerce Search CoRR Sreenivas Gollapudi, Samuel Ieong, Anitha Kannan
2012	A	`conf`	Structured query reformulations in commerce search. CIKM Sreenivas Gollapudi, Samuel Ieong, Anitha Kannan
2011	J	`jnl`	Data mining for improving textbooks. SIGKDD Explor. Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
2011	—	`conf`	Enriching Education through Data Mining. PReMI Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
2011	A	`conf`	Enriching textbooks with images. CIKM Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
2011	—	`conf`	Identifying enrichment candidates in textbooks. WWW (Companion Volume) Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
2011	A*	`conf`	Improving Product Classification Using Images. ICDM Anitha Kannan, Partha Pratim Talukdar, Nikhil Rasiwasia, Qifa Ke
2011	A*	`conf`	Matching unstructured product offers to structured product specifications. KDD Anitha Kannan, Inmar E. Givoni, Rakesh Agrawal, Ariel Fuxman
2009	A*	`conf`	Click chain model in web search. WWW Fan Guo, Chao Liu, Anitha Kannan, Tom Minka, Michael J. Taylor, Yi Min Wang, Christos Faloutsos
2009	J	`jnl`	Epitomic Location Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Kai Ni, Anitha Kannan, Antonio Criminisi, John M. Winn
2009	A*	`conf`	Improving classification accuracy using automatically extracted training data. KDD Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, Rakesh Agrawal, Panayiotis Tsaparas, John C. Shafer
2008	B	`conf`	Accounting for Non-genetic Factors Improves the Power of eQTL Studies. RECOMB Oliver Stegle, Anitha Kannan, Richard Durbin, John M. Winn
2008	A*	`conf`	Epitomic location recognition. CVPR Kai Ni, Anitha Kannan, Antonio Criminisi, John M. Winn
2008	J	`jnl`	Fast Transformation-Invariant Component Analysis. Int. J. Comput. Vis. Anitha Kannan, Nebojsa Jojic, Brendan J. Frey
2007	B	`conf`	A Bayesian Model That Links Microarray mRNA Measurements to Mass Spectrometry Protein Measurements. RECOMB Anitha Kannan, Andrew Emili, Brendan J. Frey
2007	—	`conf`	Bayesian association of haplotypes and non-genetic factors to regulatory and phenotypic variation in human populations. ISMB/ECCB (Supplement of Bioinformatics) Jim C. Huang, Anitha Kannan, John M. Winn
2007	—	`—`	Generative models for 2-D images of 3-D scenes. Anitha Kannan
2007	A*	`conf`	Hybrid learning of large jigsaws. CVPR Julia A. Lasserre, Anitha Kannan, John M. Winn
2006	—	`conf`	Clustering appearance and shape by learning jigsaws. NIPS Anitha Kannan, John M. Winn, Carsten Rother
2005	A	`conf`	Generative Model for Layers of Appearance and Deformation. AISTATS Anitha Kannan, Nebojsa Jojic, Brendan J. Frey
2004	—	`conf`	A Generative Model of Dense Optical Flow in Layers. SCVMA Anitha Kannan, Brendan J. Frey, Nebojsa Jojic
2003	A*	`conf`	Epitomic analysis of appearance and shape. ICCV Nebojsa Jojic, Brendan J. Frey, Anitha Kannan
2003	—	`conf`	Learning Appearance and Transparency Manifolds of Occluded Objects in Layers. CVPR (1) Brendan J. Frey, Nebojsa Jojic, Anitha Kannan
2002	—	`conf`	Fast Transformation-Invariant Factor Analysis. NIPS Anitha Kannan, Nebojsa Jojic, Brendan J. Frey
2001	—	`conf`	Product Analysis: Learning to Model Observations as Products of Hidden Variables. NIPS Brendan J. Frey, Anitha Kannan, Nebojsa Jojic
2000	—	`conf`	Accumulator Networks: Suitors of Local Probability Propagation. NIPS Brendan J. Frey, Anitha Kannan