Jason Weston

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Statistical Learning Theory in Practice

Jason Weston, J. Weston, 2013, Empirical Inference.

Irreflexive and Hierarchical Relations as Translations pdf

Jason Weston, Oksana Yakhnenko, Antoine Bordes, 2013, ArXiv.

Prediction on Spike Data Using Kernel Algorithms

Carl E. Rasmussen, Bernhard Schölkopf, Jason Weston, 2003, NIPS.

Data cleaning algorithms with applications to micro-array experiments

Jason Weston, Isabelle Guyon, Olivier Chapelle, 2001 .

Dialog-based Language Learning

Jason Weston, J. Weston, 2016, NIPS.

The Dialogue Dodecathlon: Open-Domain Knowledge and Image Grounded Conversational Agents pdf

Jason Weston, Stephen Roller, Emily Dinan, 2020, ACL.

Fast Kernel Classifiers with Online and Active Learning

Jason Weston, Antoine Bordes, Léon Bottou, 2005, J. Mach. Learn. Res..

Open Question Answering with Weakly Supervised Embedding Models

Jason Weston, Antoine Bordes, Nicolas Usunier, 2014, ECML/PKDD.

Embedded Methods

Jason Weston, André Elisseeff, Olivier Chapelle, 2006, Feature Extraction.

Learning through Dialogue Interactions by Asking Questions

Jason Weston, Marc'Aurelio Ranzato, Jiwei Li, 2016, ICLR.

Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction pdf

Jason Weston, Oksana Yakhnenko, Antoine Bordes, 2013, EMNLP.

Contextualized Role Interaction for Neural Machine Translation

Jason Weston, Kyunghyun Cho, Douwe Kiela, 2018 .

Proceedings of the 1st Workshop on Representation Learning for NLP

Jason Weston, Shay B. Cohen, Kyunghyun Cho, 2016 .

Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

Jason Weston, Kurt Shuster, Samuel Humeau, 2019 .

Connecting Large-Scale Knowledge Bases and Natural Language

Jason Weston, Antoine Bordes, Antoine Bordes, 2013 .

Translating Embeddings for Modeling Multi-relational Data

Jason Weston, Oksana Yakhnenko, Antoine Bordes, 2013, NIPS.

Multi-Modal Open-Domain Dialogue pdf

Jason Weston, Eric Michael Smith, Kurt Shuster, 2020, EMNLP.

The Need for Open Source Software in Machine Learning

Carl E. Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, 2007, J. Mach. Learn. Res..

Detecting Remote Evolutionary Relationships among Proteins by Large-Scale Semantic Embedding

Jason Weston, William Stafford Noble, Christina S. Leslie, 2011, PLoS Comput. Biol..

Learning semantic representations of objects and their parts

Jason Weston, Yoshua Bengio, Gal Chechik, 2014, Machine Learning.

Deep Learning for Character-Based Information Extraction

Yanjun Qi, Jason Weston, Ronan Collobert, 2014, ECIR.

Joint Kernel Maps

Bernhard Schölkopf, Jason Weston, Olivier Bousquet, 2005, IWANN.

Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction

Yanjun Qi, Vladimir Pavlovic, Jason Weston, 2010, ECML/PKDD.

Building SVMs with Reduced Classifier Complexity

Jason Weston, Dennis DeCoste, Léon Bottou, 2007 .

Joint Image and Word Sense Discrimination for Image Retrieval

Jason Weston, Aurélien Lucchi, J. Weston, 2012, ECCV.

Learning Structured Embeddings of Knowledge Bases

Jason Weston, Yoshua Bengio, Antoine Bordes, 2011, AAAI.

Multi-Dimensional Gender Bias Classification pdf

Jason Weston, Adina Williams, Douwe Kiela, 2020, EMNLP.

A Distributed Sequential Solver for Large-Scale SVMs

Jason Weston, Dennis DeCoste, Léon Bottou, 2007 .

Leave-One-Out Support Vector Machines

Jason Weston, 1999, IJCAI.

Learning Gene Functional Classifications from Multiple Data Types

Jason Weston, William Stafford Noble, Jinsong Cai, 2002, J. Comput. Biol..

Deep Learning via Semi-supervised Embedding

Hossein Mobahi, Jason Weston, Ronan Collobert, 2012, Neural Networks: Tricks of the Trade.

A Kernel Approach for Learning from Almost Orthogonal Patterns

Bernhard Schölkopf, Jason Weston, Eleazar Eskin, 2002, European Conference on Principles of Data Mining and Knowledge Discovery.

Kernel methods for Multi-labelled classification and Categ orical regression problems

Jason Weston, André Elisseeff, J. Weston, 2001, NIPS 2001.

Multi-class protein fold recognition using adaptive codes

Jason Weston, William Stafford Noble, Christina S. Leslie, 2005, ICML.

Dialogue Natural Language Inference

Jason Weston, Kyunghyun Cho, Arthur Szlam, 2018, ACL.

Semantic Frame Identification with Distributed Word Representations

Jason Weston, Kuzman Ganchev, Dipanjan Das, 2014, ACL.

Invariant Feature Extraction and Classification in Kernel Spaces

Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, 1999, NIPS.

#TagSpace: Semantic Embeddings from Hashtags

Jason Weston, Sumit Chopra, Keith Adams, 2014, EMNLP.

Training highly multiclass classifiers

Maya R. Gupta, Jason Weston, Samy Bengio, 2014, J. Mach. Learn. Res..

Label Ranking under Ambiguous Supervision: An Application for Learning Semantic Correspondences

Jason Weston, Antoine Bordes, Nicolas Usunier, 2010 .

Supervised Semantic Indexing

Jason Weston, Bing Bai, Ronan Collobert, 2009, ECIR.

Introduction to the special issue on learning semantics

Jason Weston, Luke S. Zettlemoyer, Dan Roth, 2013, Machine Learning.

Dealing with large diagonals in kernel matrices

Jason Weston, William Stafford Noble, Bernhard Schölkopf, 2003 .

Large-scale kernel machines

Jason Weston, Dennis DeCoste, Léon Bottou, 2007 .

Memory Networks pdf

Jason Weston, Antoine Bordes, Sumit Chopra, 2014, ICLR.

Gene functional classification from heterogeneous data

Jason Weston, William Noble Grundy, Jinsong Cai, 2001, RECOMB.

Engaging Image Captioning via Personality

Jason Weston, Antoine Bordes, Hexiang Hu, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Ranking on Data Manifolds

Bernhard Schölkopf, Jason Weston, Arthur Gretton, 2003, NIPS.

A Composite of Heterogeneous Sources Recommenders (CHR)

Jingyu Sun, Jason Weston, Xiangnan He, 2020 .

Latent Structured Ranking

Jason Weston, John Blitzer, 2012, UAI.

Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training pdf

Jason Weston, Kyunghyun Cho, Stephen Roller, 2020, ACL.

Semi-Supervised Sequence Labeling with Self-Learned Features

Yanjun Qi, Jason Weston, Koray Kavukcuoglu, 2009, 2009 Ninth IEEE International Conference on Data Mining.

Multi-class Protein Classification Using Adaptive Codes

Jason Weston, William Stafford Noble, Christina S. Leslie, 2007, J. Mach. Learn. Res..

Deep learning via semi-supervised embedding

Jason Weston, Ronan Collobert, Frédéric Ratle, 2008, ICML '08.

Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent pdf

Jason Weston, Zhilin Yang, Douwe Kiela, 2017, ICLR.

Support vector channel selection in BCI

Bernhard Schölkopf, Jason Weston, Thilo Hinterberger, 2004, IEEE Transactions on Biomedical Engineering.

Emergent Translation in Multi-Agent Communication pdf

Jason Lee, Jason Weston, Kyunghyun Cho, 2017, ICLR.

Can You Put it All Together: Evaluating Conversational Agents’ Ability to Blend Skills pdf

Mary Williamson, Jason Weston, Y-Lan Boureau, 2020, ACL.

Towards Open-Text Semantic Parsing via Multi-Task Learning of Structured Embeddings pdf

Jason Weston, Yoshua Bengio, Antoine Bordes, 2011, ArXiv.

SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition

Jason Weston, William Stafford Noble, Christina S. Leslie, 2007, BMC Bioinformatics.

Rankprop: a web server for protein remote homology detection

Jason Weston, William Stafford Noble, Christina S. Leslie, 2008, Bioinform..

Learning from Dialogue after Deployment: Feed Yourself, Chatbot! pdf

Jason Weston, Antoine Bordes, Braden Hancock, 2019, ACL.

End-To-End Memory Networks

Jason Weston, Rob Fergus, Arthur Szlam, 2015, NIPS.

Learning with Local and Global Consistency

Bernhard Schölkopf, Jason Weston, Dengyong Zhou, 2003, NIPS.

Wizard of Wikipedia: Knowledge-Powered Conversational agents pdf

Jason Weston, Stephen Roller, Emily Dinan, 2018, ICLR.

Training Highly Multi-class Linear Classifiers

Maya R. Gupta, Jason Weston, Samy Bengio, 2014 .

Half Transductive Ranking

Jason Weston, Bing Bai, Mehryar Mohri, 2010, AISTATS.

I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-oriented dialogue agents pdf

Jason Weston, Douwe Kiela, Arthur Szlam, 2019, ArXiv.

Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions pdf

Mary Williamson, Jason Weston, Antoine Bordes, 2020, ArXiv.

Memory Networks for Recommendation

Jason Weston, 2017, RecSys.

Combining labeled and unlabeled data with word-class distribution learning

Yanjun Qi, Jason Weston, Koray Kavukcuoglu, 2009, CIKM.

Towards Understanding Situated Natural Language

Jason Weston, Antoine Bordes, Nicolas Usunier, 2010, AISTATS.

Learning Through Dialogue Interactions pdf

Jason Weston, Marc'Aurelio Ranzato, Jiwei Li, 2016, ArXiv.

Recipes for Building an Open-Domain Chatbot pdf

Mary Williamson, Jason Weston, Myle Ott, 2020, EACL.

A Neural Attention Model for Abstractive Sentence Summarization pdf

Jason Weston, Alexander M. Rush, Sumit Chopra, 2015, EMNLP.

Semisupervised Neural Networks for Efficient Hyperspectral Image Classification

Jason Weston, Gustavo Camps-Valls, Frédéric Ratle, 2010, IEEE Transactions on Geoscience and Remote Sensing.

Transductive Inference for Estimating Values of Functions

Jason Weston, Olivier Chapelle, Vladimir Vapnik, 1999, NIPS.

Key-Value Memory Networks for Directly Reading Documents

Jason Weston, Amir-Hossein Karimi, Antoine Bordes, 2016, EMNLP.

Cluster Kernels for Semi-Supervised Learning

Bernhard Schölkopf, Jason Weston, Olivier Chapelle, 2002, NIPS.

Supervised semantic indexing

Yanjun Qi, Jason Weston, Bing Bai, 2009, ECIR.

Label Partitioning For Sublinear Ranking

Jason Weston, Ameesh Makadia, Hector Yee, 2013, ICML.

Adversarial NLI: A New Benchmark for Natural Language Understanding pdf

Mohit Bansal, Jason Weston, Adina Williams, 2020, ACL.

Mismatch String Kernels for SVM Protein Classification

Jason Weston, Eleazar Eskin, William Stafford Noble, 2002, NIPS.

Finding Generalizable Evidence by Learning to Convince Q&A Models pdf

Jason Weston, Kyunghyun Cho, Rob Fergus, 2019, EMNLP.

Learning improved linear transforms for speech recognition

Jason Weston, Youngmin Cho, Andrew W. Senior, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Dialogue Learning With Human-In-The-Loop pdf

Jason Weston, Marc'Aurelio Ranzato, Jiwei Li, 2016, ICLR.

Large scale manifold transduction

Jason Weston, Ayse Erkan, Ronan Collobert, 2008, ICML '08.

Feature Selection for SVMs

Sayan Mukherjee, Jason Weston, Tomaso A. Poggio, 2000, NIPS.

All-in-One Image-Grounded Conversational Agents pdf

Jason Weston, Y-Lan Boureau, Kurt Shuster, 2019, ArXiv.

Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces

Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Talk the Walk: Navigating New York City through Grounded Dialogue pdf

Jason Weston, Dhruv Batra, Douwe Kiela, 2018, ArXiv.

Training Invariant SVMs Using Selective Sampling

Jason Weston, Dennis DeCoste, Léon Bottou, 2007 .

Semi-supervised Protein Classification Using Cluster Kernels

Jason Weston, William Stafford Noble, Christina S. Leslie, 2003, NIPS.

Large Scale Application of Neural Network Based Semantic Role Labeling for Automated Relation Extraction from Biomedical Texts

Jason Weston, Ronan Collobert, Hans-Werner Mewes, 2009, PloS one.

Large-scale Simple Question Answering with Memory Networks pdf

Jason Weston, Antoine Bordes, Nicolas Usunier, 2015, ArXiv.

Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

Jason Weston, Antoine Bordes, Tomas Mikolov, 2015, ICLR.

Weakly Supervised Memory Networks pdf

Jason Weston, Rob Fergus, Arthur Szlam, 2015, ArXiv.

Vehicle Communication Strategies for Simulated Highway Driving

Jason Weston, Kyunghyun Cho, Ilya Kulikov, 2018, 1804.07178.

ParlAI: A Dialog Research Software Platform

Jason Weston, Antoine Bordes, Jiasen Lu, 2017, EMNLP.

Fast Binary and Multi-Output Reduced Set Selection

Gökhan BakIr, Jason Weston, 2004 .

Use of the Zero-Norm with Linear Models and Kernel Methods

Bernhard Schölkopf, Jason Weston, Michael E. Tipping, 2003, J. Mach. Learn. Res..

Support vector machines for multi-class pattern recognition

Jason Weston, Chris Watkins, J. Weston, 1999, ESANN.

Semi-supervised Protein Classification Using Cluster Kernels

Jason Weston, William Stafford Noble, Christina S. Leslie, 2003, NIPS.

Statistical Learning and Kernel Methods in Bioinformatics

Isabelle Guyon, Bernhard Schölkopf, Jason Weston, 2003 .

Structural bioinformatics Semi-supervised protein classification using cluster kernels

Jason Weston, William Stafford Noble, André Elisseeff, 2005 .

Mismatch string kernels for discriminative protein classification

Jason Weston, Eleazar Eskin, William Stafford Noble, 2004, Bioinform..

A Kernel Approach for Learning from Almost Orthogonal Patterns

Bernhard Schölkopf, Jason Weston, Eleazar Eskin, 2002, PKDD.

Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems pdf

Xiang Zhang, Jason Weston, Antoine Bordes, 2015, ICLR.

Deploying Lifelong Open-Domain Dialogue Learning pdf

Jason Weston, Arthur Szlam, Emily Dinan, 2020, ArXiv.

User Conditional Hashtag Prediction for Images

Emily Denton, Jason Weston, Rob Fergus, 2015, KDD.

Kernel Dependency Estimation

Bernhard Schölkopf, Jason Weston, André Elisseeff, 2002, NIPS.

Curriculum learning

Jason Weston, Yoshua Bengio, Jérôme Louradour, 2009, ICML '09.

Large-Scale Learning with String Kernels

Jason Weston, Dennis DeCoste, Léon Bottou, 2007 .

A general regression technique for learning transductions

Jason Weston, Mehryar Mohri, Corinna Cortes, 2005, ICML '05.

Extension of the nu-SVM range for classification

Bernhard Schölkopf, Jason Weston, Bernhard Schölkopf, 2003 .

Generating Interactive Worlds with Text pdf

Jason Weston, Douwe Kiela, Arthur Szlam, 2019, AAAI.

Online (and Offline) on an Even Tighter Budget

Jason Weston, Antoine Bordes, Léon Bottou, 2005, AISTATS.

Adaptive Margin Support Vector Machines

Jason Weston, Ralf Herbrich, 2000 .

ELI5: Long Form Question Answering pdf

Jason Weston, Ethan Perez, Angela Fan, 2019, ACL.

Semi-Supervised Learning through Principal Directions Estimation

Bernhard Schölkopf, Jason Weston, Olivier Chapelle, 2003, ICML 2003.

Gene Selection for Cancer Classification using Support Vector Machines

Jason Weston, Isabelle Guyon, Vladimir Vapnik, 2002, Machine Learning.

Large scale image annotation: learning to rank with joint word-image embeddings

Jason Weston, Samy Bengio, Nicolas Usunier, 2010, Machine Learning.

Poly-encoders: Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

Jason Weston, Kurt Shuster, Samuel Humeau, 2020, ICLR.

Motif-based protein ranking by network propagation

Jason Weston, William Stafford Noble, Christina S. Leslie, 2005, Bioinform..

Neural Text Generation with Unlikelihood Training pdf

Jason Weston, Kyunghyun Cho, Stephen Roller, 2019, ICLR.

A kernel method for multi-labelled classification

Jason Weston, André Elisseeff, J. Weston, 2001, NIPS.

Jump to better conclusions: SCAN both left and right

Jason Weston, Kyunghyun Cho, Douwe Kiela, 2018, BlackboxNLP@EMNLP.

A Unified Multitask Architecture for Predicting Local Protein Properties

Yanjun Qi, Jason Weston, William Stafford Noble, 2012, PloS one.

How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds pdf

Jason Weston, Arthur Szlam, Tim Rocktaschel, 2020, ArXiv.

Large-Scale Kernel Machines (Neural Information Processing)

Jason Weston, Dennis DeCoste, Léon Bottou, 2007 .

Density Estimation using Support Vector Machines

Jason Weston, Alexander Gammerman, Vladimir Vovk, 1998 .

Fast Kernel Learning with Sparse Inverted Index

Jason Weston, Dennis DeCoste, Léon Bottou, 2007 .

Why Build an Assistant in Minecraft? pdf

Jason Weston, Zhuoyuan Chen, Armand Joulin, 2019, ArXiv.

Protein Ranking by Semi-Supervised Network Propagation

Jason Weston, William Stafford Noble, Christina S. Leslie, 2006, BMC Bioinformatics.

Natural Language Processing (Almost) from Scratch

Jason Weston, Koray Kavukcuoglu, Léon Bottou, 2011, J. Mach. Learn. Res..

Solving multiclass support vector machines with LaRank

Jason Weston, Patrick Gallinari, Antoine Bordes, 2007, ICML '07.

Large Scale Transductive SVMs

Jason Weston, Léon Bottou, Ronan Collobert, 2006, J. Mach. Learn. Res..

Embedding Methods for Natural Language Processing

Jason Weston, Antoine Bordes, 2014, EMNLP 2014.

StarSpace: Embed All The Things! pdf

Jason Weston, Antoine Bordes, Sumit Chopra, 2017, AAAI.

A Neural Attention Model for Sentence Summarization

Jason Weston, Alexander M. Rush, Sumit Chopra, 2015 .

Tracking the World State with Recurrent Entity Networks pdf

Jason Weston, Yann LeCun, Antoine Bordes, 2016, ICLR.

Label Embedding Trees for Large Multi-Class Tasks

Jason Weston, Samy Bengio, David Grangier, 2010, NIPS.

Label Ranking under Ambiguous Supervision for Learning Semantic Correspondences

Jason Weston, Antoine Bordes, Nicolas Usunier, 2010, ICML.

I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling pdf

Mohit Bansal, Mary Williamson, Jason Weston, 2020, ACL.

Large-Scale Clustering through Functional Embedding

Jason Weston, Matthew L. Miller, Frédéric Ratle, 2008, ECML/PKDD.

Nonlinear latent factorization by embedding multiple user interests

Jason Weston, Ron J. Weiss, Hector Yee, 2013, RecSys.

Personalizing Dialogue Agents: I have a dog, do you have pets too?

Jason Weston, Douwe Kiela, Arthur Szlam, 2018, ACL.

Learning to Find Pre-Images

Bernhard Schölkopf, Jason Weston, Gökhan H. Bakir, 2003, NIPS.

Question Answering with Subgraph Embeddings pdf

Jason Weston, Antoine Bordes, Sumit Chopra, 2014, EMNLP.

The Second Conversational Intelligence Challenge (ConvAI2) pdf

Joelle Pineau, Alexander I. Rudnicky, Jason Weston, 2019, The NeurIPS '18 Competition.

Towards Understanding Situated Text : Concept Labeling and Weak Supervision

Jason Weston, Antoine Bordes, Nicolas Usunier, 2009 .

A user's guide to support vector machines.

Jason Weston, Asa Ben-Hur, J. Weston, 2010, Methods in molecular biology.

Large-Scale Parallel SVM Implementation

Jason Weston, Dennis DeCoste, Léon Bottou, 2007 .

Image-Chat: Engaging Grounded Conversations

Jason Weston, Antoine Bordes, Kurt Shuster, 2020, ACL.

Improving Conditioning in Context-Aware Sequence to Sequence Models pdf

Jason Weston, Xinyi Wang, Michael Auli, 2019, ArXiv.

A unified architecture for natural language processing: deep neural networks with multitask learning

Jason Weston, Ronan Collobert, J. Weston, 2008, ICML '08.

Scaling Learning Algorithms toward AI

Jason Weston, Dennis DeCoste, Léon Bottou, 2007 .

Retrieve and Refine: Improved Sequence Generation Models For Dialogue

Jason Weston, Emily Dinan, Alexander H. Miller, 2018, SCAI@EMNLP.

Reading Wikipedia to Answer Open-Domain Questions

Jason Weston, Danqi Chen, Antoine Bordes, 2017, ACL.

Learning to rank with (a lot of) word features

Yanjun Qi, Jason Weston, Bing Bai, 2010, Information Retrieval.

A General Regression Framework for Learning String-to-String Mappings

Jason Weston, Mehryar Mohri, Corinna Cortes, 2006 .

Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation pdf

Jason Weston, Adina Williams, Douwe Kiela, 2020, EMNLP.

Vehicle Community Strategies pdf

Jason Weston, Kyunghyun Cho, Ilya Kulikov, 2018, ArXiv.

What makes a good conversation? How controllable attributes affect human judgments

Jason Weston, Stephen Roller, Douwe Kiela, 2019, NAACL.

Newton Methods for Fast Semisupervised Linear SVMs

Jason Weston, Dennis DeCoste, Léon Bottou, 2007 .

Large-Scale Semi-Supervised Learning

Jason Weston, J. Weston, 2007, NATO ASI Mining Massive Data Sets for Security.

Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue

Pararth Shah, Jason Weston, Y-Lan Boureau, 2019, EMNLP.

ACUTE-EVAL: Improved Dialogue Evaluation with Optimized Questions and Multi-turn Comparisons pdf

Jason Weston, Stephen Roller, Margaret Li, 2019, ArXiv.

Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution

Jason Weston, Alexander M. Rush, Sam Wiseman, 2015, ACL.

The Improved Fast Gauss Transform with Applications to Machine Learning

Jason Weston, Dennis DeCoste, Léon Bottou, 2007 .

KDD Cup 2001 data analysis: prediction of molecular bioactivity for drug Design-Binding to Thrombin

Bernhard Schölkopf, Jason Weston, André Elisseeff, 2001, Knowledge Discovery and Data Mining.

Multi-Class Support Vector Machines

Jason Weston, Chris Watkins, J. Weston, 1998 .

The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations pdf

Jason Weston, Felix Hill, Antoine Bordes, 2015, ICLR.

Multi-Tasking with Joint Semantic Spaces for Large-Scale Music Annotation and Retrieval

Jason Weston, Philippe Hamel, Samy Bengio, 2011 .

Trading convexity for scalability

Jason Weston, Léon Bottou, Ronan Collobert, 2006, ICML.

Learning to rank recommendations with the k-order statistic loss

Jason Weston, Ron J. Weiss, Hector Yee, 2013, RecSys.

Large-Scale Music Annotation and Retrieval: Learning to Rank in Joint Semantic Spaces pdf

Jason Weston, Samy Bengio, Philippe Hamel, 2011, ArXiv.

A semantic matching energy function for learning with multi-relational data

Jason Weston, Yoshua Bengio, Antoine Bordes, 2013, Machine Learning.

Importance of a Search Strategy in Neural Dialogue Modelling pdf

Jason Weston, Kyunghyun Cho, Ilya Kulikov, 2018, ArXiv.

Learning End-to-End Goal-Oriented Dialog pdf

Jason Weston, Antoine Bordes, Antoine Bordes, 2016, ICLR.

Machine Learning approaches to protein ranking: discriminative, semi-supervised, scalable algorithms

Jason Weston, Elisseeff A Leslie C, Ws Noble, 2003 .

Recipes for Safety in Open-domain Chatbots pdf

Jason Weston, Y-Lan Boureau, Jing Xu, 2020, ArXiv.

Combining classifiers for improved classification of proteins from sequence or structure

Jason Weston, William Stafford Noble, Christina S. Leslie, 2008, BMC Bioinformatics.

Inference with the Universum

Jason Weston, Léon Bottou, Ronan Collobert, 2006, ICML.

Vicinal Risk Minimization

Jason Weston, Léon Bottou, Olivier Chapelle, 2000, NIPS.

Protein ranking: from local to global structure in the protein similarity network.

Jason Weston, William Stafford Noble, Dengyong Zhou, 2004, Proceedings of the National Academy of Sciences of the United States of America.

Polynomial Semantic Indexing

Yanjun Qi, Jason Weston, Bing Bai, 2009, NIPS.

Real-time Inference in Multi-sentence Tasks with Deep Pretrained Transformers pdf

Jason Weston, Kurt Shuster, Samuel Humeau, 2019, ArXiv.

Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins

Jason Weston, Jaime G. Carbonell, Judith Klein-Seetharaman, 2010, Bioinform..

Feature selection and transduction for prediction of molecular bioactivity for drug design

Bernhard Schölkopf, Jason Weston, Fernando Pérez-Cruz, 2003, Bioinform..

Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack

Jason Weston, Emily Dinan, Samuel Humeau, 2019, EMNLP.

WSABIE: Scaling Up to Large Vocabulary Image Annotation

Jason Weston, Samy Bengio, Nicolas Usunier, 2011, IJCAI.

Deep learning from temporal coherence in video

Hossein Mobahi, Jason Weston, Ronan Collobert, 2009, ICML '09.

Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing

Jason Weston, Yoshua Bengio, Antoine Bordes, 2012, AISTATS.

Latent Collaborative Retrieval pdf

Chong Wang, Jason Weston, Ron J. Weiss, 2012, ICML.

Learning to Speak and Act in a Fantasy Text Adventure Game pdf

Jason Weston, Douwe Kiela, Arthur Szlam, 2019, EMNLP.

Breaking SVM Complexity with Cross-Training

Jason Weston, Léon Bottou, Gökhan H. Bakir, 2004, NIPS.

Staircase Attention for Recurrent Processing of Sequences pdf

Jason Weston, Da Ju, Sainbayar Sukhbaatar, 2021, NeurIPS.

How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds

Jason Weston, Arthur Szlam, Tim Rocktaschel, 2020, NAACL.

Hash Layers For Large Sparse Models pdf

Jason Weston, Arthur Szlam, Sainbayar Sukhbaatar, 2021, NeurIPS.

Dialogue in the Wild: Learning from a Deployed Role-Playing Game with Humans and Bots

Jason Weston, Arthur Szlam, Emily Dinan, 2021, FINDINGS.

Am I Me or You? State-of-the-Art Dialogue Models Cannot Maintain an Identity pdf

Jason Weston, Arthur Szlam, Kurt Shuster, 2021, NAACL-HLT.

Human Evaluation of Conversations is an Open Problem: comparing the sensitivity of various methods for evaluating dialogue agents pdf

Jason Weston, Y-Lan Boureau, Eric Michael Smith, 2022, NLP4CONVAI.

Reason first, then respond: Modular Generation for Knowledge-infused Dialogue pdf

Jason Weston, Arthur Szlam, Kurt Shuster, 2021, EMNLP.

Beyond Goldfish Memory: Long-Term Open-Domain Conversation pdf

Jason Weston, Arthur Szlam, J. Weston, 2021, ACL.

Retrieval Augmentation Reduces Hallucination in Conversation

Jason Weston, Douwe Kiela, Kurt Shuster, 2021, EMNLP.

Internet-Augmented Dialogue Generation pdf

Jason Weston, Kurt Shuster, Mojtaba Komeili, 2021, ACL.

NormFormer: Improved Transformer Pretraining with Extra Normalization pdf

Jason Weston, Myle Ott, Sam Shleifer, 2021, ArXiv.

Bot-Adversarial Dialogue for Safe Conversational Agents

Jason Weston, Y-Lan Boureau, Emily Dinan, 2021, NAACL.

Not All Memories are Created Equal: Learning to Forget by Expiring

Jason Weston, Arthur Szlam, Da Ju, 2021, ICML.

Semi-supervised Learning by Maximizing Smoothness

Jason Weston, Max Planck, Dengyong Zhou, 2004 .

Talk The Walk: Navigating Grids in New York City through Grounded Dialogue

Jason Weston, Dhruv Batra, Douwe Kiela, 2018 .

Semi-Supervised Neural Networks for Efficient Hyperspectral Image Classification

Jason Weston, Gustavo Camps-Valls, Frédéric Ratle, 2009 .