Xavier Amatriain

According to our database, Xavier Amatriain authored at least 66 papers between 2000 and 2024.

Collaborative distances:

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

2024

Large Language Models: A Survey.

Shervin Minaee, Tomás Mikolov, Narjes Nikzad, Meysam Chenaghlu, Richard Socher, Xavier Amatriain, Jianfeng Gao

CoRR, 2024

Prompt Design and Engineering: Introduction and Advanced Methods.

Xavier Amatriain

CoRR, 2024

2023

Transformer models: an introduction and catalog.

Xavier Amatriain

CoRR, 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

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

2016

Machine Learning for Q&A Sites: State of the Art and Research Directions.

Xavier Amatriain

Proceedings of the 25th International Conference on World Wide Web, 2016

Recommending the World's Knowledge: Application of Recommender Systems at Quora.

Lei Yang, Xavier Amatriain

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Past, Present, and Future of Recommender Systems: An Industry Perspective.

Xavier Amatriain, Justin Basilico

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Tutorial: Lessons Learned from Building Real-life Recommender Systems.

Xavier Amatriain, Deepak Agarwal

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Past, Present, and Future of Recommender Systems: An Industry Perspective.

Xavier Amatriain

Proceedings of the 21st International Conference on Intelligent User Interfaces, 2016

2015

Data Mining Methods for Recommender Systems.

Xavier Amatriain, Josep M. Pujol

Proceedings of the Recommender Systems Handbook, 2015

Recommender Systems in Industry: A Netflix Case Study.

Xavier Amatriain, Justin Basilico

Proceedings of the Recommender Systems Handbook, 2015

2014

The recommender problem revisited.

Xavier Amatriain

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

The recommender problem revisited: morning tutorial.

Xavier Amatriain, Bamshad Mobasher

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

2013

Big & personal: data and models behind netflix recommendations.

Xavier Amatriain

Proceedings of the 2nd International Workshop on Big Data, 2013

Beyond data: from user information to business value through personalized recommendations and consumer science.

Xavier Amatriain

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

2012

Mining large streams of user data for personalized recommendations.

Xavier Amatriain

SIGKDD Explor., 2012

Workshop on recommendation utility evaluation: beyond RMSE - RUE 2012.

Xavier Amatriain, Pablo Castells, Arjen P. de Vries, Christian Posse

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Building industrial-scale real-world recommender systems.

Xavier Amatriain

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

2011

Data Mining Methods for Recommender Systems.

Xavier Amatriain, Alejandro Jaimes, Nuria Oliver, Josep M. Pujol

Proceedings of the Recommender Systems Handbook, 2011

Frameworks Generate Domain-Specific Languages: A Case Study in the Multimedia Domain.

Xavier Amatriain, Pau Arumí

IEEE Trans. Software Eng., 2011

Walk the Talk - Analyzing the Relation between Implicit and Explicit Feedback for Preference Elicitation.

Denis Parra, Xavier Amatriain

Proceedings of the User Modeling, Adaption and Personalization, 2011

2010

Towards Fully Distributed and Privacy-Preserving Recommendations via Expert Collaborative Filtering and RESTful Linked Data.

Jae-wook Ahn, Xavier Amatriain

Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Temporal diversity in recommender systems.

Neal Lathia, Stephen Hailes, Licia Capra, Xavier Amatriain

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering.

Alexandros Karatzoglou, Xavier Amatriain, Linas Baltrunas, Nuria Oliver

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Music recommendations with temporal context awareness.

Toni Cebrián, Marc Planagumà, Paulo Villegas, Xavier Amatriain

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Geolocated movie recommendations based on expert collaborative filtering.

Josep Bachs Barrio, Xavier Amatriain Rubio

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Off the beaten track: a mobile field study exploring the long tail of tourist recommendations.

Nava Tintarev, Ana Flores, Xavier Amatriain

Proceedings of the 12th Conference on Human-Computer Interaction with Mobile Devices and Services, 2010

2009

The AlloSphere: Immersive Multimedia for Scientific Discovery and Artistic Exploration.

Xavier Amatriain, JoAnn Kuchera-Morin, Tobias Höllerer, Stephen Travis Pope

IEEE Multim., 2009

I Like It... I Like It Not: Evaluating User Ratings Noise in Recommender Systems.

Xavier Amatriain, Josep M. Pujol, Nuria Oliver

Proceedings of the User Modeling, 2009

The wisdom of the few: a collaborative filtering approach based on expert opinions from the web.

Xavier Amatriain, Neal Lathia, Josep M. Pujol, Haewoon Kwak, Nuria Oliver

Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Rate it again: increasing recommendation accuracy by user re-rating.

Xavier Amatriain, Josep M. Pujol, Nava Tintarev, Nuria Oliver

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Collaborative Filtering With Adaptive Information Sources (Short Paper).

Neal Lathia, Xavier Amatriain, Josep M. Pujol

Proceedings of the 7th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems (ITWP'09), Pasadena, California, USA, July 11-17, 2009 in conjunction with the 21st International Joint Conference on Artificial Intelligence, 2009

2008

A framework for efficient and rapid development of cross-platform audio applications.

Xavier Amatriain, Pau Arumí, David García

Multim. Syst., 2008

Watching television over an IP network.

Meeyoung Cha, Pablo Rodriguez, Jon Crowcroft, Sue B. Moon, Xavier Amatriain

Proceedings of the 8th ACM SIGCOMM Internet Measurement Conference, 2008

2007

A Domain-Specific Metamodel for Multimedia Processing Systems.

Xavier Amatriain

IEEE Trans. Multim., 2007

CLAM: A Framework for Audio and Music Application Development.

Xavier Amatriain

IEEE Softw., 2007

The allosphere: a large-scale immersive surround-view instrument.

Tobias Höllerer, JoAnn Kuchera-Morin, Xavier Amatriain

Proceedings of the Emerging Displays Technologies Workshop, 2007

Data jockey, a Tool for Meta-Data Enhanced Digital DJing and Active listening.

Alex Norman, Xavier Amatriain

Proceedings of the 2007 International Computer Music Conference, 2007

Immersive audio and Music in the AlloSphere.

Xavier Amatriain, Tobias Höllerer, JoAnn Kuchera-Morin, Stephen Travis Pope

Proceedings of the 2007 International Computer Music Conference, 2007

Experiencing Audio and Music in a Fully Immersive Environment.

Xavier Amatriain, Jorge Castellanos, Tobias Höllerer, JoAnn Kuchera-Morin, Stephen Travis Pope, Graham Wakefield, Will Wolcott

Proceedings of the Computer Music Modeling and Retrieval. Sense of Sounds, 2007

2006

CLAM: a framework for efficient and rapid development of cross-platform audio applications.

Xavier Amatriain, Pau Arumí, David García

Proceedings of the 14th ACM International Conference on Multimedia, 2006

Metamodels and Design Patterns in CSL4.

Stephen Travis Pope, Xavier Amatriain, Lance Putnam, Jorge Castellanos, Ryan Avery

Proceedings of the 2006 International Computer Music Conference, 2006

2005

An Object-oriented metamodel for digital signal processing with a focus on audio and music.

Xavier Amatriain

PhD thesis, 2005

The CLAM Annotator: A Cross-Platform Audio Descriptors Editing Tool.

Xavier Amatriain, Jordi Massaguer, David García, Ismael Mosquera

Proceedings of the ISMIR 2005, 2005

Developing Cross-Platform audio and Music Applications with the CLAM Framework.

Xavier Amatriain, Pau Arumí

Proceedings of the 2005 International Computer Music Conference, 2005

2002

CLAM: an OO framework for developing audio and music applications.

Xavier Amatriain, Maarten de Boer, Enrique Robledo, David García

Proceedings of the Companion of the 17th annual ACM SIGPLAN conference on Object-oriented programming, 2002

CLAM, yet another library for audio and music processing?

Xavier Amatriain, Pau Arumí, Miguel Ramírez

Proceedings of the Companion of the 17th annual ACM SIGPLAN conference on Object-oriented programming, 2002

2000

Towards Instrument Segmentation for Music Content Description: a Critical Review of Instrument Classification Techniques.

Perfecto Herrera-Boyer, Xavier Amatriain, Eloi Batlle, Xavier Serra

Proceedings of the ISMIR 2000, 2000