Xavier Amatriain

76 papers A* 5A 17Journal 26Unranked 23

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Large Language Models: A Survey. CoRR Shervin Minaee, Tomás Mikolov, Narjes Nikzad, Meysam Chenaghlu, Richard Socher, Xavier Amatriain, Jianfeng Gao
2024	J	`jnl`	Prompt Design and Engineering: Introduction and Advanced Methods. CoRR Xavier Amatriain
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
2023	J	`jnl`	Transformer models: an introduction and catalog. CoRR Xavier Amatriain
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	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	A	`ed.`	Proceedings of the 12th ACM Conference on Recommender Systems, RecSys 2018, Vancouver, BC, Canada, October 2-7, 2018 RecSys Sole Pera, Michael D. Ekstrand, Xavier Amatriain, John O'Donovan
2018	J	`jnl`	Prototypical Clustering Networks for Dermatological Disease Diagnosis. CoRR Viraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chablani, David A. Sontag, Xavier Amatriain
2016	—	`conf`	Machine Learning for Q&A Sites: State of the Art and Research Directions. WWW (Companion Volume) Xavier Amatriain
2016	A	`conf`	Past, Present, and Future of Recommender Systems: An Industry Perspective. IUI Xavier Amatriain
2016	A	`conf`	Past, Present, and Future of Recommender Systems: An Industry Perspective. RecSys Xavier Amatriain, Justin Basilico
2016	A	`conf`	Recommending the World's Knowledge: Application of Recommender Systems at Quora. RecSys Lei Yang, Xavier Amatriain
2016	A	`conf`	Tutorial: Lessons Learned from Building Real-life Recommender Systems. RecSys Xavier Amatriain, Deepak Agarwal
2015	—	`ch.`	Data Mining Methods for Recommender Systems. Recommender Systems Handbook Xavier Amatriain, Josep M. Pujol
2015	—	`ch.`	Recommender Systems in Industry: A Netflix Case Study. Recommender Systems Handbook Xavier Amatriain, Justin Basilico
2014	A	`conf`	The recommender problem revisited. RecSys Xavier Amatriain
2014	A*	`conf`	The recommender problem revisited: morning tutorial. KDD Xavier Amatriain, Bamshad Mobasher
2013	A	`conf`	Beyond data: from user information to business value through personalized recommendations and consumer science. CIKM Xavier Amatriain
2013	A	`conf`	Beyond data: from user information to business value through personalized recommendations and consumer science. CIKM Xavier Amatriain
2013	—	`conf`	Big & personal: data and models behind netflix recommendations. BigMine Xavier Amatriain
2012	A	`conf`	Building industrial-scale real-world recommender systems. RecSys Xavier Amatriain
2012	J	`jnl`	Mining large streams of user data for personalized recommendations. SIGKDD Explor. Xavier Amatriain
2012	—	`ed.`	Proceedings of the Workshop on Recommendation Utility Evaluation: Beyond RMSE, RUE 2012, Dublin, Ireland, September 9, 2012 RUE@RecSys Xavier Amatriain, Pablo Castells, Arjen P. de Vries, Christian Posse, Harald Steck
2012	A	`conf`	Workshop on recommendation utility evaluation: beyond RMSE - RUE 2012. RecSys Xavier Amatriain, Pablo Castells, Arjen P. de Vries, Christian Posse
2011	—	`ch.`	Data Mining Methods for Recommender Systems. Recommender Systems Handbook Xavier Amatriain, Alejandro Jaimes, Nuria Oliver, Josep M. Pujol
2011	J	`jnl`	Frameworks Generate Domain-Specific Languages: A Case Study in the Multimedia Domain. IEEE Trans. Software Eng. Xavier Amatriain, Pau Arumí
2011	A	`conf`	Walk the Talk - Analyzing the Relation between Implicit and Explicit Feedback for Preference Elicitation. UMAP Denis Parra, Xavier Amatriain
2010	A	`conf`	Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering. RecSys Alexandros Karatzoglou, Xavier Amatriain, Linas Baltrunas, Nuria Oliver
2010	A	`conf`	Music recommendations with temporal context awareness. RecSys Toni Cebrián, Marc Planagumà, Paulo Villegas, Xavier Amatriain
2010	—	`conf`	Off the beaten track: a mobile field study exploring the long tail of tourist recommendations. Mobile HCI Nava Tintarev, Ana Flores, Xavier Amatriain
2010	A	`ed.`	Proceedings of the 2010 ACM Conference on Recommender Systems, RecSys 2010, Barcelona, Spain, September 26-30, 2010 RecSys Xavier Amatriain, Marc Torrens, Paul Resnick, Markus Zanker
2010	A*	`conf`	Temporal diversity in recommender systems. SIGIR Neal Lathia, Stephen Hailes, Licia Capra, Xavier Amatriain
2010	—	`conf`	Towards Fully Distributed and Privacy-Preserving Recommendations via Expert Collaborative Filtering and RESTful Linked Data. Web Intelligence Jae-wook Ahn, Xavier Amatriain
2009	—	`conf`	Collaborative Filtering With Adaptive Information Sources (Short Paper). ITWP Neal Lathia, Xavier Amatriain, Josep M. Pujol
2009	A	`conf`	I Like It... I Like It Not: Evaluating User Ratings Noise in Recommender Systems. UMAP Xavier Amatriain, Josep M. Pujol, Nuria Oliver
2009	A	`conf`	Rate it again: increasing recommendation accuracy by user re-rating. RecSys Xavier Amatriain, Josep M. Pujol, Nava Tintarev, Nuria Oliver
2009	J	`jnl`	The AlloSphere: Immersive Multimedia for Scientific Discovery and Artistic Exploration. IEEE Multim. Xavier Amatriain, JoAnn Kuchera-Morin, Tobias Höllerer, Stephen Travis Pope
2009	A*	`conf`	The wisdom of the few: a collaborative filtering approach based on expert opinions from the web. SIGIR Xavier Amatriain, Neal Lathia, Josep M. Pujol, Haewoon Kwak, Nuria Oliver
2008	J	`jnl`	A framework for efficient and rapid development of cross-platform audio applications. Multim. Syst. Xavier Amatriain, Pau Arumí, David García
2008	A	`conf`	Watching television over an IP network. Internet Measurement Conference Meeyoung Cha, Pablo Rodriguez, Jon Crowcroft, Sue B. Moon, Xavier Amatriain
2007	J	`jnl`	A Domain-Specific Metamodel for Multimedia Processing Systems. IEEE Trans. Multim. Xavier Amatriain
2007	J	`jnl`	CLAM: A Framework for Audio and Music Application Development. IEEE Softw. Xavier Amatriain
2007	—	`conf`	Data jockey, a Tool for Meta-Data Enhanced Digital DJing and Active listening. ICMC Alex Norman, Xavier Amatriain
2007	—	`conf`	Experiencing Audio and Music in a Fully Immersive Environment. CMMR Xavier Amatriain, Jorge Castellanos, Tobias Höllerer, JoAnn Kuchera-Morin, Stephen Travis Pope, Graham Wakefield, Will Wolcott
2007	—	`conf`	Immersive audio and Music in the AlloSphere. ICMC Xavier Amatriain, Tobias Höllerer, JoAnn Kuchera-Morin, Stephen Travis Pope
2007	—	`conf`	The allosphere: a large-scale immersive surround-view instrument. EDT Tobias Höllerer, JoAnn Kuchera-Morin, Xavier Amatriain
2006	A*	`conf`	CLAM: a framework for efficient and rapid development of cross-platform audio applications. ACM Multimedia Xavier Amatriain, Pau Arumí, David García
2006	—	`conf`	Metamodels and Design Patterns in CSL4. ICMC Stephen Travis Pope, Xavier Amatriain, Lance Putnam, Jorge Castellanos, Ryan Avery
2005	—	`—`	An Object-oriented metamodel for digital signal processing with a focus on audio and music. Xavier Amatriain
2005	—	`conf`	Developing Cross-Platform audio and Music Applications with the CLAM Framework. ICMC Xavier Amatriain, Pau Arumí
2005	—	`conf`	The CLAM Annotator: A Cross-Platform Audio Descriptors Editing Tool. ISMIR Xavier Amatriain, Jordi Massaguer, David García, Ismael Mosquera
2002	—	`conf`	CLAM, yet another library for audio and music processing? OOPSLA Companion Xavier Amatriain, Pau Arumí, Miguel Ramírez
2002	—	`conf`	CLAM: an OO framework for developing audio and music applications. OOPSLA Companion Xavier Amatriain, Maarten de Boer, Enrique Robledo, David García
2000	—	`conf`	Towards Instrument Segmentation for Music Content Description: a Critical Review of Instrument Classification Techniques. ISMIR Perfecto Herrera-Boyer, Xavier Amatriain, Eloi Batlle, Xavier Serra