Antoine Bordes

According to our database1, Antoine Bordes authored at least 48 papers between 2005 and 2018.

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Bibliography

2018
Training Millions of Personalized Dialogue Agents.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

DesIGN: Design Inspiration from Generative Networks.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

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

2017
Fader Networks: Manipulating Images by Sliding Attributes.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Tracking the World State with Recurrent Entity Networks.
Proceedings of the 5th International Conference on Learning Representations, 2017

Learning End-to-End Goal-Oriented Dialog.
Proceedings of the 5th International Conference on Learning Representations, 2017

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

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data.
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
Combining Two and Three-Way Embedding Models for Link Prediction in Knowledge Bases.
J. Artif. Intell. Res., 2016

Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks.
Proceedings of the 4th International Conference on Learning Representations, 2016

The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations.
Proceedings of the 4th International Conference on Learning Representations, 2016

Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems.
Proceedings of the 4th International Conference on Learning Representations, 2016

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

2015
Memory Networks.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Constructing and Mining Web-Scale Knowledge Graphs: WWW 2015 Tutorial.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Composing Relationships with Translations.
Proceedings of the 2015 Conference on Empirical Methods in 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

Effective Blending of Two and Three-way Interactions for Modeling Multi-relational Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

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

Constructing and mining web-scale knowledge graphs: KDD 2014 tutorial.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

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

Fast Recursive Multi-class Classification of Pairs of Text Entities for Biomedical Event Extraction.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

2013
A Semantic Matching Energy Function for Learning with Multi-relational Data
Proceedings of the 1st International Conference on Learning Representations, 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

Unsupervised Learning of Semantics of Object Detections for Scene Categorization.
Proceedings of the Pattern Recognition Applications and Methods - International Conference, 2013

Unsupervised and Transfer Learning under Uncertainty - From Object Detections to Scene Categorization.
Proceedings of the ICPRAM 2013, 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

Biomedical Event Extraction by Multi-class Classification of Pairs of Text Entities.
Proceedings of the BioNLP Shared Task 2013 Workshop, Sofia, 2013

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

A latent factor model for highly multi-relational data.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Deep Sparse Rectifier Neural Networks.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach.
Proceedings of the 28th International Conference on Machine Learning, 2011

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

2010
New Algorithms for Large-Scale Support Vector Machines. (Nouveaux Algorithmes pour l'Apprentissage de Machines à Vecteurs Supports sur de Grandes Masses de Données).
PhD thesis, 2010

Guarantees for Approximate Incremental SVMs.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

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

Erratum: SGDQN is Less Careful than Expected.
Journal of Machine Learning Research, 2010

A comparison of discriminative classifiers for web news content extraction.
Proceedings of the Recherche d'Information Assistée par Ordinateur, 2010

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

2009
SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent.
Journal of Machine Learning Research, 2009

2008
Sequence Labelling SVMs Trained in One Pass.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

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

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

The Huller: A Simple and Efficient Online SVM.
Proceedings of the Machine Learning: ECML 2005, 2005

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


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