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 resources.paperdigest.org
Most Influential ICML Papers (2022-02) - Resources | Paper Digest
| | www.marekrei.com
57 Summaries of Machine Learning and NLP Research - Marek Rei
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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...
| | iamirmasoud.com
Machine Learning Interview: Classical Algorithms
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| | Amir Masoud Sefidian
| | aclanthology.org
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) - ACL Anthology
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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...
| | lilianweng.github.io
What are Diffusion Models? | Lil'Log
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| [Updated on 2021-09-19: Highly recommend this blog post on score-based generative modeling by Yang Song (author of several key papers in the references)]. [Updated on 2022-08-27: Added classifier-free guidance, GLIDE, unCLIP and Imagen. [Updated on 2022-08-31: Added latent diffusion model. [Updated on 2024-04-13: Added progressive distillation, consistency models, and the Model Architecture section.