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Sequence-to-Sequence Learning as Beam-Search Optimization
Sam Wiseman and Alexander M. Rush
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.CL, cs.LG, cs.NE, stat.ML

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Summary by Sarath Chandar 7 years ago
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Towards a Neural Statistician
Harrison Edwards and Amos Storkey
arXiv e-Print archive - 2016 via Local arXiv
Keywords: stat.ML, cs.LG

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Summary by Hugo Larochelle 7 years ago
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Sanity Checks for Saliency Maps
Julius Adebayo and Justin Gilmer and Michael Muelly and Ian Goodfellow and Moritz Hardt and Been Kim
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CV, cs.LG, stat.ML

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Summary by Apoorva Shetty 4 years ago
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Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
Elena Voita and David Talbot and Fedor Moiseev and Rico Sennrich and Ivan Titov
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.CL

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Summary by CodyWild 4 years ago
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Learning to learn by gradient descent by gradient descent
Marcin Andrychowicz and Misha Denil and Sergio Gomez and Matthew W. Hoffman and David Pfau and Tom Schaul and Nando de Freitas
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.NE, cs.LG

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Summary by Peter O'Connor 6 years ago
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