The Future of (Transfer Learning in) Natural Language Processing
Transfer Learning in Natural Language Processing (NLP): Open questions, current trends, limits, and future directions.
natural-language-processing transfer-learning tutorial
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A walk through interesting papers and research directions in late 2019/early-2020 on: - model size and computational efficiency, - out-of-domain generalization and model evaluation, - fine-tuning and sample efficiency, - common sense and inductive biases.

Don't forget to tag @thomwolf in your comment.

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Science Lead @ Huggingface Inc.
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