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aclanthology.org
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| | | | | [AI summary] The text provides an overview of various natural language processing (NLP) and machine learning research topics. It covers a wide range of areas including: grammatical error correction, text similarity measures, compositional distributional semantics, neural machine translation, dependency parsing, and political orientation prediction. The text also discusses the development of datasets for evaluating models, the importance of readability in reading comprehension tasks, and the use of advanced techniques such as nested attention layers and error-correcting codes to improve model performance. The key themes include the advancement of NLP models, the creation of evaluation datasets, and the exploration of new methods for text analysis and understa... | |
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fodsi.us
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| | | | | [AI summary] The ML4A Virtual Workshop explores how machine learning enhances classical algorithms through data-driven approaches, featuring talks on deep generative models, model-based deep learning, and learning-augmented algorithms. | |
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www.marekrei.com
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| | | | | Staying on top of recent work is an important part of being a good researcher, but this can be quite difficult. Thousands of new papers... | |
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nsaphra.net
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| | | Notes on incrementally constraining the architecture of a neural network as a method of regularization. | ||
