Alexandre Lacoste
4 papers in the PaperMetrix corpus
Papers by this author
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Uncertainty in Multitask Transfer Learning
2018 · arXiv (Cornell University)
Using variational Bayes neural networks, we develop an algorithm capable of accumulating knowledge into a prior from multiple different tasks. The result is a rich and meaningful prior capable of few-shot learning on new tasks. …
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Beyond Trivial Counterfactual Generations with Diverse Valuable Explanations
2021
Explainability of machine learning models has gained considerable attention within our research community given the importance of deploying more reliable machine-learning systems. Explanability can also be helpful for model debugging. In computer vision applications, most …
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WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia
2016
Daniel Hewlett, Alexandre Lacoste, Llion Jones, Illia Polosukhin, Andrew Fandrianto, Jay Han, Matthew Kelcey, David Berthelot. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2016.
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Coarse-to-Fine Question Answering for Long Documents
2017
Eunsol Choi, Daniel Hewlett, Jakob Uszkoreit, Illia Polosukhin, Alexandre Lacoste, Jonathan Berant. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2017.