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  1. Article

    Introduction to the special issue on learning semantics

    Antoine Bordes, Léon Bottou, Ronan Collobert, Dan Roth, Jason Weston in Machine Learning (2014)

  2. Article

    Learning semantic representations of objects and their parts

    Recently, large scale image annotation datasets have been collected with millions of images and thousands of possible annotations. Latent variable models, or embedding methods, that simultaneously learn semant...

    Grégoire Mesnil, Antoine Bordes, Jason Weston, Gal Chechik in Machine Learning (2014)

  3. Article

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

    Large-scale relational learning becomes crucial for handling the huge amounts of structured data generated daily in many application domains ranging from computational biology or information retrieval, to natu...

    Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio in Machine Learning (2014)

  4. Article

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

    Image annotation datasets are becoming larger and larger, with tens of millions of images and tens of thousands of possible annotations. We propose a strongly performing method that scales to such datasets by ...

    Jason Weston, Samy Bengio, Nicolas Usunier in Machine Learning (2010)

  5. Article

    Learning to rank with (a lot of) word features

    In this article we present Supervised Semantic Indexing which defines a class of nonlinear (quadratic) models that are discriminatively trained to directly map from the word content in a query-document or docu...

    Bing Bai, Jason Weston, David Grangier, Ronan Collobert in Information Retrieval (2010)

  6. Article

    Gene Selection for Cancer Classification using Support Vector Machines

    DNA micro-arrays now permit scientists to screen thousands of genes simultaneously and determine whether those genes are active, hyperactive or silent in normal or cancerous tissue. Because these new micro-arr...

    Isabelle Guyon, Jason Weston, Stephen Barnhill, Vladimir Vapnik in Machine Learning (2002)