Weston, Jason

77 publications

NeurIPS 2024 Iterative Reasoning Preference Optimization Richard Yuanzhe Pang, Weizhe Yuan, Kyunghyun Cho, He He, Sainbayar Sukhbaatar, Jason Weston

NeurIPS 2023 Learning to Reason and Memorize with Self-Notes Jack Lanchantin, Shubham Toshniwal, Jason Weston, Arthur Szlam, Sainbayar Sukhbaatar

NeurIPS 2021 Hash Layers for Large Sparse Models Stephen Roller, Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston

ICML 2021 Not All Memories Are Created Equal: Learning to Forget by Expiring Sainbayar Sukhbaatar, Da Ju, Spencer Poff, Stephen Roller, Arthur Szlam, Jason Weston, Angela Fan

AAAI 2020 Generating Interactive Worlds with Text Angela Fan, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, Douwe Kiela, Tim Rocktäschel, Arthur Szlam, Jason Weston

ICLR 2020 Neural Text Generation with Unlikelihood Training Sean Welleck, Ilia Kulikov, Stephen Roller, Emily Dinan, Kyunghyun Cho, Jason Weston

ICLR 2020 Poly-Encoders: Architectures and Pre-Training Strategies for Fast and Accurate Multi-Sentence Scoring Samuel Humeau, Kurt Shuster, Marie-Anne Lachaux, Jason Weston

ICLR 2019 Wizard of Wikipedia: Knowledge-Powered Conversational Agents Emily Dinan, Stephen Roller, Kurt Shuster, Angela Fan, Michael Auli, Jason Weston

ICLR 2018 Emergent Translation in Multi-Agent Communication Jason Lee, Kyunghyun Cho, Jason Weston, Douwe Kiela

ICLR 2018 Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent Zhilin Yang, Saizheng Zhang, Jack Urbanek, Will Feng, Alexander Miller, Arthur Szlam, Douwe Kiela, Jason Weston

AAAI 2018 StarSpace: Embed All the Things! Ledell Yu Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, Jason Weston

ICLR 2017 Dialogue Learning with Human-in-the-Loop Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston

ICLR 2017 Learning End-to-End Goal-Oriented Dialog Antoine Bordes, Y-Lan Boureau, Jason Weston

ICLR 2017 Learning Through Dialogue Interactions by Asking Questions Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston

ICLR 2017 Tracking the World State with Recurrent Entity Networks Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes, Yann LeCun

ICLR 2016 Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems Jesse Dodge, Andreea Gane, Xiang Zhang, Antoine Bordes, Sumit Chopra, Alexander H. Miller, Arthur Szlam, Jason Weston

ICLR 2016 The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations Felix Hill, Antoine Bordes, Sumit Chopra, Jason Weston

ICLR 2016 Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks Jason Weston, Antoine Bordes, Sumit Chopra, Tomás Mikolov

NeurIPS 2015 End-to-End Memory Networks Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, Rob Fergus

ICLR 2015 Memory Networks Jason Weston, Sumit Chopra, Antoine Bordes

MLJ 2014 A Semantic Matching Energy Function for Learning with Multi-Relational Data - Application to Word-Sense Disambiguation Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio

ICML 2014 Affinity Weighted Embedding Jason Weston, Ron Weiss, Hector Yee

MLJ 2014 Introduction to the Special Issue on Learning Semantics Antoine Bordes, Léon Bottou, Ronan Collobert, Dan Roth, Jason Weston, Luke Zettlemoyer

MLJ 2014 Learning Semantic Representations of Objects and Their Parts Grégoire Mesnil, Antoine Bordes, Jason Weston, Gal Chechik, Yoshua Bengio

ECML-PKDD 2014 Open Question Answering with Weakly Supervised Embedding Models Antoine Bordes, Jason Weston, Nicolas Usunier

JMLR 2014 Training Highly Multiclass Classifiers Maya R. Gupta, Samy Bengio, Jason Weston

ICLR 2013 A Semantic Matching Energy Function for Learning with Multi-Relational Data Xavier Glorot, Antoine Bordes, Jason Weston, Yoshua Bengio

ICLR 2013 Affinity Weighted Embedding Jason Weston, Ron J. Weiss, Hector Yee

ICML 2013 Label Partitioning for Sublinear Ranking Jason Weston, Ameesh Makadia, Hector Yee

NeurIPS 2013 Translating Embeddings for Modeling Multi-Relational Data Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, Oksana Yakhnenko

ECCV 2012 Joint Image and Word Sense Discrimination for Image Retrieval Aurélien Lucchi, Jason Weston

AISTATS 2012 Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio

ICML 2012 Latent Collaborative Retrieval Jason Weston, Chong Wang, Ron J. Weiss, Adam Berenzweig

UAI 2012 Latent Structured Ranking Jason Weston, John Blitzer

AAAI 2011 Learning Structured Embeddings of Knowledge Bases Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio

JMLR 2011 Natural Language Processing (Almost) from Scratch Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel Kuksa

IJCAI 2011 WSABIE: Scaling up to Large Vocabulary Image Annotation Jason Weston, Samy Bengio, Nicolas Usunier

AISTATS 2010 Half Transductive Ranking Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Corinna Cortes, Mehryar Mohri

NeurIPS 2010 Label Embedding Trees for Large Multi-Class Tasks Samy Bengio, Jason Weston, David Grangier

ICML 2010 Label Ranking Under Ambiguous Supervision for Learning Semantic Correspondences Antoine Bordes, Nicolas Usunier, Jason Weston

MLJ 2010 Large Scale Image Annotation: Learning to Rank with Joint Word-Image Embeddings Jason Weston, Samy Bengio, Nicolas Usunier

ECML-PKDD 2010 Semi-Supervised Abstraction-Augmented String Kernel for Multi-Level Bio-Relation Extraction Pavel P. Kuksa, Yanjun Qi, Bing Bai, Ronan Collobert, Jason Weston, Vladimir Pavlovic, Xia Ning

AISTATS 2010 Towards Understanding Situated Natural Language Antoine Bordes, Nicolas Usunier, Ronan Collobert, Jason Weston

ICML 2009 Curriculum Learning Yoshua Bengio, Jérôme Louradour, Ronan Collobert, Jason Weston

ICML 2009 Deep Learning from Temporal Coherence in Video Hossein Mobahi, Ronan Collobert, Jason Weston

NeurIPS 2009 Polynomial Semantic Indexing Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes, Mehryar Mohri

ICML 2008 A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning Ronan Collobert, Jason Weston

ICML 2008 Deep Learning via Semi-Supervised Embedding Jason Weston, Frédéric Ratle, Ronan Collobert

ICML 2008 Large Scale Manifold Transduction Michael Karlen, Jason Weston, Ayse Erkan, Ronan Collobert

ECML-PKDD 2008 Large-Scale Clustering Through Functional Embedding Frédéric Ratle, Jason Weston, Matthew L. Miller

JMLR 2007 Multi-Class Protein Classification Using Adaptive Codes Iain Melvin, Eugene Ie, Jason Weston, William Stafford Noble, Christina Leslie

ICML 2007 Solving Multiclass Support Vector Machines with LaRank Antoine Bordes, Léon Bottou, Patrick Gallinari, Jason Weston

JMLR 2007 The Need for Open Source Software in Machine Learning Sören Sonnenburg, Mikio L. Braun, Cheng Soon Ong, Samy Bengio, Leon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Alexander Smola, Pascal Vincent, Jason Weston, Robert Williamson

ICML 2006 Inference with the Universum Jason Weston, Ronan Collobert, Fabian H. Sinz, Léon Bottou, Vladimir Vapnik

JMLR 2006 Large Scale Transductive SVMs Ronan Collobert, Fabian Sinz, Jason Weston, Léon Bottou

ICML 2006 Trading Convexity for Scalability Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou

ICML 2005 A General Regression Technique for Learning Transductions Corinna Cortes, Mehryar Mohri, Jason Weston

JMLR 2005 Fast Kernel Classifiers with Online and Active Learning Antoine Bordes, Seyda Ertekin, Jason Weston, Léon Bottou

ICML 2005 Multi-Class Protein Fold Recognition Using Adaptive Codes Eugene Ie, Jason Weston, William Stafford Noble, Christina S. Leslie

AISTATS 2005 Online (and Offline) on an Even Tighter Budget Jason Weston, Antoine Bordes, Leon Bottou

NeurIPS 2004 Breaking SVM Complexity with Cross-Training Léon Bottou, Jason Weston, Gökhan H. Bakir

NeurIPS 2003 Learning to Find Pre-Images Jason Weston, Bernhard Schölkopf, Gökhan H. Bakir

NeurIPS 2003 Learning with Local and Global Consistency Dengyong Zhou, Olivier Bousquet, Thomas N. Lal, Jason Weston, Bernhard Schölkopf

NeurIPS 2003 Prediction on Spike Data Using Kernel Algorithms Jan Eichhorn, Andreas Tolias, Alexander Zien, Malte Kuss, Jason Weston, Nikos Logothetis, Bernhard Schölkopf, Carl E. Rasmussen

NeurIPS 2003 Ranking on Data Manifolds Dengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet, Bernhard Schölkopf

NeurIPS 2003 Semi-Supervised Protein Classification Using Cluster Kernels Jason Weston, Dengyong Zhou, André Elisseeff, William S. Noble, Christina S. Leslie

ECML-PKDD 2002 A Kernel Approach for Learning from Almost Orthogonal Patterns Bernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble

NeurIPS 2002 Cluster Kernels for Semi-Supervised Learning Olivier Chapelle, Jason Weston, Bernhard Schölkopf

MLJ 2002 Gene Selection for Cancer Classification Using Support Vector Machines Isabelle Guyon, Jason Weston, Stephen Barnhill, Vladimir Vapnik

NeurIPS 2002 Kernel Dependency Estimation Jason Weston, Olivier Chapelle, Vladimir Vapnik, André Elisseeff, Bernhard Schölkopf

NeurIPS 2002 Mismatch String Kernels for SVM Protein Classification Eleazar Eskin, Jason Weston, William S. Noble, Christina S. Leslie

NeurIPS 2001 A Kernel Method for Multi-Labelled Classification André Elisseeff, Jason Weston

NeurIPS 2000 Feature Selection for SVMs Jason Weston, Sayan Mukherjee, Olivier Chapelle, Massimiliano Pontil, Tomaso Poggio, Vladimir Vapnik

NeurIPS 2000 Vicinal Risk Minimization Olivier Chapelle, Jason Weston, Léon Bottou, Vladimir Vapnik

NeurIPS 1999 Invariant Feature Extraction and Classification in Kernel Spaces Sebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller

IJCAI 1999 Leave-One-Out Support Vector Machines Jason Weston

NeurIPS 1999 Transductive Inference for Estimating Values of Functions Olivier Chapelle, Vladimir Vapnik, Jason Weston