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Unraveling Transformer Optimization: A Hessian-Based Explanation for Adam’s Superiority over SGD

Marktechpost

While the Adam optimizer has become the standard for training Transformers, stochastic gradient descent with momentum (SGD), which is highly effective for convolutional neural networks (CNNs), performs worse on Transformer models. This Magazine/Report will be released in late October/early November 2024.

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Major trends in NLP: a review of 20 years of ACL research

NLP People

Especially pre-trained word embeddings such as Word2Vec, FastText and BERT allow NLP developers to jump to the next level. Neural Networks are the workhorse of Deep Learning (cf. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. Neural Network Methods in Natural Language Processing.

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