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2020 – today
- 2024
[c54]Varun Nair, Elliot Schumacher, Geoffrey J. Tso, Anitha Kannan:
DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents. ClinicalNLP@NAACL 2024: 122-161- [c53]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: 4009-4030 - 2023
- [c52]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: 2373-2390 - [c51]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: 200-217 - [c50]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: 772-787 - [c49]Jian Zhu, Ilya Valmianski, Anitha Kannan:
Dialogue-Contextualized Re-ranking for Medical History-Taking. MLHC 2023: 942-958 - [i28]Varun Nair, Elliot Schumacher, Geoffrey J. Tso, Anitha Kannan:
DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents. CoRR abs/2303.17071 (2023) - [i27]Jian Zhu, Ilya Valmianski
, Anitha Kannan:
Dialogue-Contextualized Re-ranking for Medical History-Taking. CoRR abs/2304.01974 (2023) - [i26]Albert Yu Sun, Varun Nair, Elliot Schumacher, Anitha Kannan:
CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants. CoRR abs/2304.14364 (2023) - [i25]Varun Nair, Elliot Schumacher, Anitha Kannan:
Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models. CoRR abs/2305.05982 (2023) - [i24]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 abs/2306.03652 (2023) - [i23]Elliot Schumacher, Daniel Rosenthal, Varun Nair, Luladay Price, Geoffrey J. Tso, Anitha Kannan:
Extrinsically-Focused Evaluation of Omissions in Medical Summarization. CoRR abs/2311.08303 (2023) - 2022
- [c48]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: 373-390 - [i22]Raymond Li, Ilya Valmianski, Li Deng, Xavier Amatriain, Anitha Kannan:
OSLAT: Open Set Label Attention Transformer for Medical Entity Span Extraction. CoRR abs/2207.05817 (2022) - [i21]Mengqian Wang, Ilya Valmianski, Xavier Amatriain, Anitha Kannan:
Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach. CoRR abs/2210.02658 (2022) - 2021
- [c47]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: 110-129 - [c46]Bharath Chintagunta, Namit Katariya, Xavier Amatriain, Anitha Kannan:
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization. MLHC 2021: 354-372 - [i20]Bharath Chintagunta, Namit Katariya, Xavier Amatriain, Anitha Kannan:
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization. CoRR abs/2110.07356 (2021) - [i19]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 abs/2111.07564 (2021) - [i18]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 abs/2111.09381 (2021) - 2020
- [c45]Anirudh Joshi, Namit Katariya, Xavier Amatriain, Anitha Kannan:
Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures. EMNLP (Findings) 2020: 3755-3763 - [c44]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: 3458-3465 - [i17]Anitha Kannan, Richard Chen, Vignesh Venkataraman, Geoffrey J. Tso, Xavier Amatriain:
COVID-19 in differential diagnosis of online symptom assessments. CoRR abs/2008.03323 (2020) - [i16]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 abs/2008.13546 (2020) - [i15]Anirudh Joshi, Namit Katariya, Xavier Amatriain, Anitha Kannan:
Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures. CoRR abs/2009.08666 (2020) - [i14]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 abs/2011.06874 (2020)
2010 – 2019
- 2019
- [c43]Viraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chaplain, David A. Sontag, Xavier Amatriain:
Few-Shot Learning for Dermatological Disease Diagnosis. MLHC 2019: 532-552 - [i13]Viraj Prabhu, Anitha Kannan, Geoffrey J. Tso, Namit Katariya, Manish Chablani, David A. Sontag, Xavier Amatriain:
Open Set Medical Diagnosis. CoRR abs/1910.02830 (2019) - [i12]Sam Shleifer, Manish Chablani, Namit Katariya, Anitha Kannan, Xavier Amatriain:
Classification As Decoder: Trading Flexibility For Control In Neural Dialogue. CoRR abs/1910.03476 (2019) - [i11]Clara McCreery, Namit Katariya, Anitha Kannan, Manish Chablani, Xavier Amatriain:
Domain-Relevant Embeddings for Medical Question Similarity. CoRR abs/1910.04192 (2019) - [i10]Sam Shleifer, Manish Chablani, Anitha Kannan, Namit Katariya, Xavier Amatriain:
Classification as Decoder: Trading Flexibility for Control in Medical Dialogue. CoRR abs/1911.08554 (2019) - [i9]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 abs/1912.08041 (2019) - 2018
- [c42]Ashwin Kalyan, Stefan Lee, Anitha Kannan, Dhruv Batra:
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations. ICML 2018: 2454-2463 - [c41]Murali Ravuri, Anitha Kannan, Geoffrey J. Tso, Xavier Amatriain:
Learning from the experts: From expert systems to machine-learned diagnosis models. MLHC 2018: 227-243 - [i8]Murali Ravuri, Anitha Kannan, Geoffrey J. Tso, Xavier Amatriain:
Learning from the experts: From expert systems to machine learned diagnosis models. CoRR abs/1804.08033 (2018) - [i7]Ashwin Kalyan, Stefan Lee, Anitha Kannan, Dhruv Batra:
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations. CoRR abs/1806.02934 (2018) - [i6]Viraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chablani, David A. Sontag, Xavier Amatriain:
Prototypical Clustering Networks for Dermatological Disease Diagnosis. CoRR abs/1811.03066 (2018) - 2017
- [c40]Jianwei Yang, Anitha Kannan, Dhruv Batra, Devi Parikh:
LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation. ICLR (Poster) 2017 - [c39]Will Feng, Anitha Kannan, Georgia Gkioxari, C. Lawrence Zitnick:
Learn2Smile: Learning non-verbal interaction through observation. IROS 2017: 4131-4138 - [c38]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: 314-324 - [i5]Joost R. van Amersfoort, Anitha Kannan, Marc'Aurelio Ranzato, Arthur Szlam, Du Tran, Soumith Chintala:
Transformation-Based Models of Video Sequences. CoRR abs/1701.08435 (2017) - [i4]Jianwei Yang, Anitha Kannan, Dhruv Batra, Devi Parikh:
LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation. CoRR abs/1703.01560 (2017) - [i3]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 abs/1706.01554 (2017) - [i2]Serena Yeung, Anitha Kannan, Yann N. Dauphin, Li Fei-Fei:
Tackling Over-pruning in Variational Autoencoders. CoRR abs/1706.03643 (2017) - 2014
- [c37]Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi:
Similarity Search using Concept Graphs. CIKM 2014: 719-728 - [c36]Abhimanyu Das, Anitha Kannan:
Discovering Topical Aspects in Microblogs. COLING 2014: 860-871 - [c35]Marios Kokkodis, Anitha Kannan, Krishnaram Kenthapadi:
Assigning Educational Videos at Appropriate Locations in Textbooks. EDM 2014: 201-204 - [c34]Soroosh Mariooryad, Anitha Kannan, Dilek Hakkani-Tür, Elizabeth Shriberg:
Automatic characterization of speaking styles in educational videos. ICASSP 2014: 4848-4852 - [c33]Rakesh Agrawal, Maria Christoforaki, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi, Adith Swaminathan:
Mining Videos from the Web for Electronic Textbooks. ICFCA 2014: 219-234 - [c32]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: 1534-1543 - [c31]Marios Kokkodis, Anitha Kannan, Krishnaram Kenthapadi:
Assigning videos to textbooks at appropriate granularity. L@S 2014: 199-200 - [c30]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: 1050-1057 - [e1]Anitha Kannan, Krishnaram Kenthapadi, Shankar Kalyanaraman, Marshini Chetty, Vanessa Frías-Martínez:
Proceedings of the Fifth ACM Symposium on Computing for Development, ACM DEV 2014, San Jose, CA, USA, December 5-6, 2014. ACM 2014, ISBN 978-1-4503-2936-1 [contents] - 2013
- [j4]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): 1040-1046 (2013) - [c29]Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi:
Studying from electronic textbooks. CIKM 2013: 1715-1720 - 2012
- [c28]Ariel Fuxman, Anitha Kannan, Zhenhui Li, Panayiotis Tsaparas:
Enabling direct interest-aware audience selection. CIKM 2012: 575-584 - [c27]Sreenivas Gollapudi, Samuel Ieong, Anitha Kannan:
Structured query reformulations in commerce search. CIKM 2012: 1890-1894 - [c26]Yi Yang, Simon Baker, Anitha Kannan, Deva Ramanan:
Recognizing proxemics in personal photos. CVPR 2012: 3522-3529 - [c25]Rakesh Agrawal, Sunandan Chakraborty, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi:
Quality of textbooks: an empirical study. ACM DEV 2012: 16:1 - [c24]Rakesh Agrawal, Sunandan Chakraborty, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi:
Empowering authors to diagnose comprehension burden in textbooks. KDD 2012: 967-975 - [c23]Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi:
Electronic Textbooks and Data Mining. WAIM 2012: 20-21 - [c22]Rakesh Agrawal, Ariel Fuxman, Anitha Kannan, John C. Shafer, Partha Pratim Talukdar:
Associating structured records to text documents. WWW (Companion Volume) 2012: 451-452 - [c21]Thomas Lin, Patrick Pantel, Michael Gamon, Anitha Kannan, Ariel Fuxman:
Active objects: actions for entity-centric search. WWW 2012: 589-598 - [i1]Sreenivas Gollapudi, Samuel Ieong, Anitha Kannan:
Structured Query Reformulations in Commerce Search. CoRR abs/1208.2478 (2012) - 2011
- [j3]Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi:
Data mining for improving textbooks. SIGKDD Explor. 13(2): 7-19 (2011) - [c20]Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi:
Enriching textbooks with images. CIKM 2011: 1847-1856 - [c19]Anitha Kannan, Partha Pratim Talukdar, Nikhil Rasiwasia, Qifa Ke:
Improving Product Classification Using Images. ICDM 2011: 310-319 - [c18]Anitha Kannan, Inmar E. Givoni, Rakesh Agrawal, Ariel Fuxman:
Matching unstructured product offers to structured product specifications. KDD 2011: 404-412 - [c17]Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi:
Enriching Education through Data Mining. PReMI 2011: 1-2 - [c16]Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi:
Identifying enrichment candidates in textbooks. WWW (Companion Volume) 2011: 483-492
2000 – 2009
- 2009
- [j2]Kai Ni, Anitha Kannan, Antonio Criminisi, John M. Winn:
Epitomic Location Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 31(12): 2158-2167 (2009) - [c15]Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, Rakesh Agrawal, Panayiotis Tsaparas, John C. Shafer:
Improving classification accuracy using automatically extracted training data. KDD 2009: 1145-1154 - [c14]Fan Guo, Chao Liu, Anitha Kannan, Tom Minka, Michael J. Taylor, Yi Min Wang, Christos Faloutsos:
Click chain model in web search. WWW 2009: 11-20 - 2008
- [j1]Anitha Kannan, Nebojsa Jojic, Brendan J. Frey:
Fast Transformation-Invariant Component Analysis. Int. J. Comput. Vis. 77(1-3): 87-101 (2008) - [c13]Kai Ni, Anitha Kannan, Antonio Criminisi, John M. Winn:
Epitomic location recognition. CVPR 2008 - [c12]Oliver Stegle, Anitha Kannan, Richard Durbin, John M. Winn:
Accounting for Non-genetic Factors Improves the Power of eQTL Studies. RECOMB 2008: 411-422 - 2007
- [b1]Anitha Kannan:
Generative models for 2-D images of 3-D scenes. University of Toronto, Canada, 2007 - [c11]Julia A. Lasserre, Anitha Kannan, John M. Winn:
Hybrid learning of large jigsaws. CVPR 2007 - [c10]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: 212-221 - [c9]Anitha Kannan, Andrew Emili, Brendan J. Frey:
A Bayesian Model That Links Microarray mRNA Measurements to Mass Spectrometry Protein Measurements. RECOMB 2007: 325-338 - 2006
- [c8]Anitha Kannan, John M. Winn, Carsten Rother:
Clustering appearance and shape by learning jigsaws. NIPS 2006: 657-664 - 2005
- [c7]Anitha Kannan, Nebojsa Jojic, Brendan J. Frey:
Generative Model for Layers of Appearance and Deformation. AISTATS 2005: 166-173 - 2004
- [c6]Anitha Kannan, Brendan J. Frey, Nebojsa Jojic:
A Generative Model of Dense Optical Flow in Layers. SCVMA 2004: 104-114 - 2003
- [c5]Brendan J. Frey, Nebojsa Jojic, Anitha Kannan:
Learning Appearance and Transparency Manifolds of Occluded Objects in Layers. CVPR (1) 2003: 45-52 - [c4]Nebojsa Jojic, Brendan J. Frey, Anitha Kannan:
Epitomic analysis of appearance and shape. ICCV 2003: 34-43 - 2002
- [c3]Anitha Kannan, Nebojsa Jojic, Brendan J. Frey:
Fast Transformation-Invariant Factor Analysis. NIPS 2002: 1263-1270 - 2001
- [c2]Brendan J. Frey, Anitha Kannan, Nebojsa Jojic:
Product Analysis: Learning to Model Observations as Products of Hidden Variables. NIPS 2001: 729-735 - 2000
- [c1]Brendan J. Frey, Anitha Kannan:
Accumulator Networks: Suitors of Local Probability Propagation. NIPS 2000: 486-492
Coauthor Index
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last updated on 2024-09-28 01:26 CEST by the dblp team
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