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Papers that changed AI, with a plain-language explainer for each.

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  1. 2011

    Natural Language Processing (Almost) from Scratch

    A 2011 Journal of Machine Learning Research paper by Collobert, Weston, Bottou, Karlen, Kavukcuoglu and Kuksa, presenting one neural network architecture and learning algorithm for part-of-speech tagging, chunking, named entity recognition and semantic role labeling, trained on mostly unlabeled data with little task-specific engineering.

    Research historyOpen sourceDeep learning

  2. 2011

    Torch7: A Matlab-like Environment for Machine Learning

    A 2011 workshop paper by Ronan Collobert, Koray Kavukcuoglu and Clement Farabet describing Torch7, a Lua-based numeric computing framework and machine learning library built for flexible experimentation on fast low-level kernels.

    Research historyOpen sourceDeep learning