Jason Weston

According to our database1, Jason Weston authored at least 138 papers between 1999 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Engaging Image Captioning Via Personality.
CoRR, 2018

Jump to better conclusions: SCAN both left and right.
CoRR, 2018

Retrieve and Refine: Improved Sequence Generation Models For Dialogue.
CoRR, 2018

Talk the Walk: Navigating New York City through Grounded Dialogue.
CoRR, 2018

Vehicle Community Strategies.
CoRR, 2018

Personalizing Dialogue Agents: I have a dog, do you have pets too?
CoRR, 2018

Retrieve and Refine: Improved Sequence Generation Models For Dialogue.
Proceedings of the 2nd International Workshop on Search-Oriented Conversational AI, 2018

Personalizing Dialogue Agents: I have a dog, do you have pets too?
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

StarSpace: Embed All The Things!
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent.
CoRR, 2017

Emergent Translation in Multi-Agent Communication.
CoRR, 2017

StarSpace: Embed All The Things!
CoRR, 2017

ParlAI: A Dialog Research Software Platform.
CoRR, 2017

Reading Wikipedia to Answer Open-Domain Questions.
CoRR, 2017

Memory Networks for Recommendation.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

ParlAI: A Dialog Research Software Platform.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Reading Wikipedia to Answer Open-Domain Questions.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Dialog-based Language Learning.
CoRR, 2016

Key-Value Memory Networks for Directly Reading Documents.
CoRR, 2016

Learning Through Dialogue Interactions.
CoRR, 2016

Dialogue Learning With Human-In-The-Loop.
CoRR, 2016

Tracking the World State with Recurrent Entity Networks.
CoRR, 2016

Learning End-to-End Goal-Oriented Dialog.
CoRR, 2016

Dialog-based Language Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Key-Value Memory Networks for Directly Reading Documents.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks.
CoRR, 2015

Weakly Supervised Memory Networks.
CoRR, 2015

A Neural Attention Model for Abstractive Sentence Summarization.
CoRR, 2015

The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations.
CoRR, 2015

Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems.
CoRR, 2015

Large-scale Simple Question Answering with Memory Networks.
CoRR, 2015

End-To-End Memory Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

User Conditional Hashtag Prediction for Images.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

A Neural Attention Model for Abstractive Sentence Summarization.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Learning semantic representations of objects and their parts.
Machine Learning, 2014

A semantic matching energy function for learning with multi-relational data - Application to word-sense disambiguation.
Machine Learning, 2014

Introduction to the special issue on learning semantics.
Machine Learning, 2014

Training highly multiclass classifiers.
Journal of Machine Learning Research, 2014

Memory Networks.
CoRR, 2014

Open Question Answering with Weakly Supervised Embedding Models.
CoRR, 2014

Question Answering with Subgraph Embeddings.
CoRR, 2014

Open Question Answering with Weakly Supervised Embedding Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Affinity Weighted Embedding.
Proceedings of the 31th International Conference on Machine Learning, 2014

#TagSpace: Semantic Embeddings from Hashtags.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Question Answering with Subgraph Embeddings.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Deep Learning for Character-Based Information Extraction.
Proceedings of the Advances in Information Retrieval, 2014

Semantic Frame Identification with Distributed Word Representations.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Irreflexive and Hierarchical Relations as Translations
CoRR, 2013

Affinity Weighted Embedding
CoRR, 2013

A Semantic Matching Energy Function for Learning with Multi-relational Data
CoRR, 2013

Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction.
CoRR, 2013

Learning to rank recommendations with the k-order statistic loss.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Nonlinear latent factorization by embedding multiple user interests.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Translating Embeddings for Modeling Multi-relational Data.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Label Partitioning For Sublinear Ranking.
Proceedings of the 30th International Conference on Machine Learning, 2013

Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Statistical Learning Theory in Practice.
Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013

2012
Deep Learning via Semi-supervised Embedding.
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Latent Structured Ranking
CoRR, 2012

Latent Collaborative Retrieval
CoRR, 2012

Latent Structured Ranking.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Latent Collaborative Retrieval.
Proceedings of the 29th International Conference on Machine Learning, 2012

Learning improved linear transforms for speech recognition.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Joint Image and Word Sense Discrimination for Image Retrieval.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Detecting Remote Evolutionary Relationships among Proteins by Large-Scale Semantic Embedding.
PLoS Computational Biology, 2011

Natural Language Processing (Almost) from Scratch.
Journal of Machine Learning Research, 2011

Towards Open-Text Semantic Parsing via Multi-Task Learning of Structured Embeddings
CoRR, 2011

Large-Scale Music Annotation and Retrieval: Learning to Rank in Joint Semantic Spaces
CoRR, 2011

Natural Language Processing (almost) from Scratch
CoRR, 2011

WSABIE: Scaling Up to Large Vocabulary Image Annotation.
Proceedings of the IJCAI 2011, 2011

Learning Structured Embeddings of Knowledge Bases.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Semisupervised Neural Networks for Efficient Hyperspectral Image Classification.
IEEE Trans. Geoscience and Remote Sensing, 2010

Large scale image annotation: learning to rank with joint word-image embeddings.
Machine Learning, 2010

Towards Understanding Situated Natural Language.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Half Transductive Ranking.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Learning to rank with (a lot of) word features.
Inf. Retr., 2010

Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins.
Bioinformatics, 2010

Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Label Embedding Trees for Large Multi-Class Tasks.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Label Ranking under Ambiguous Supervision for Learning Semantic Correspondences.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
RANKPROP: a web server for protein remote homology detection.
Bioinformatics, 2009

Polynomial Semantic Indexing.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Deep learning from temporal coherence in video.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Curriculum learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Semi-Supervised Sequence Labeling with Self-Learned Features.
Proceedings of the ICDM 2009, 2009

Supervised Semantic Indexing.
Proceedings of the Advances in Information Retrieval, 2009

Combining labeled and unlabeled data with word-class distribution learning.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Supervised semantic indexing.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Combining classifiers for improved classification of proteins from sequence or structure.
BMC Bioinformatics, 2008

Large-Scale Clustering through Functional Embedding.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Deep learning via semi-supervised embedding.
Proceedings of the Machine Learning, 2008

Large scale manifold transduction.
Proceedings of the Machine Learning, 2008

A unified architecture for natural language processing: deep neural networks with multitask learning.
Proceedings of the Machine Learning, 2008

2007
The Need for Open Source Software in Machine Learning.
Journal of Machine Learning Research, 2007

Multi-class Protein Classification Using Adaptive Codes.
Journal of Machine Learning Research, 2007

SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition.
BMC Bioinformatics, 2007

Solving multiclass support vector machines with LaRank.
Proceedings of the Machine Learning, 2007

Fast Semantic Extraction Using a Novel Neural Network Architecture.
Proceedings of the ACL 2007, 2007

2006
Large Scale Transductive SVMs.
Journal of Machine Learning Research, 2006

Protein Ranking by Semi-Supervised Network Propagation.
BMC Bioinformatics, 2006

Inference with the Universum.
Proceedings of the Machine Learning, 2006

Trading convexity for scalability.
Proceedings of the Machine Learning, 2006

2005
Fast Kernel Classifiers with Online and Active Learning.
Journal of Machine Learning Research, 2005

Semi-supervised protein classification using cluster kernels.
Bioinformatics, 2005

Motif-based protein ranking by network propagation.
Bioinformatics, 2005

Joint Kernel Maps.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Multi-class protein fold recognition using adaptive codes.
Proceedings of the Machine Learning, 2005

A general regression technique for learning transductions.
Proceedings of the Machine Learning, 2005

Online (and Offline) on an Even Tighter Budget.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004
Support vector channel selection in BCI.
IEEE Trans. Biomed. Engineering, 2004

Mismatch string kernels for discriminative protein classification.
Bioinformatics, 2004

Breaking SVM Complexity with Cross-Training.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

Use of the Zero-Norm with Linear Models and Kernel Methods.
Journal of Machine Learning Research, 2003

Feature selection and transduction for prediction of molecular bioactivity for drug design.
Bioinformatics, 2003

Ranking on Data Manifolds.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Learning with Local and Global Consistency.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Semi-supervised Protein Classification Using Cluster Kernels.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Prediction on Spike Data Using Kernel Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Learning to Find Pre-Images.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
Gene Selection for Cancer Classification using Support Vector Machines.
Machine Learning, 2002

Learning Gene Functional Classifications from Multiple Data Types.
Journal of Computational Biology, 2002

A Kernel Approach for Learning from Almost Orthogonal Patterns.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Kernel Dependency Estimation.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Mismatch String Kernels for SVM Protein Classification.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Cluster Kernels for Semi-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

A Kernel Approach for Learning from almost Orthogonal Patterns.
Proceedings of the Machine Learning: ECML 2002, 2002

2001
Gene functional classification from heterogeneous data.
Proceedings of the Fifth Annual International Conference on Computational Biology, 2001

A kernel method for multi-labelled classification.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000
Extensions to the support vector method.
PhD thesis, 2000

Feature Selection for SVMs.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Vicinal Risk Minimization.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
Invariant Feature Extraction and Classification in Kernel Spaces.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Transductive Inference for Estimating Values of Functions.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Leave-One-Out Support Vector Machines.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Support vector machines for multi-class pattern recognition.
Proceedings of the ESANN 1999, 1999


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