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Found approx 38 results (Time: 0.30s)

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1. Attention Is All You Need

Authors: Vaswani, A., Shazeer, N., et al. | 2017 | Conference Paper | Citations: 85000

Source: NeurIPS

Abstract: We propose a new simple network architecture, the Transformer, based solely on attention mechanisms....

2. Deep Residual Learning for Image Recognition

Authors: He, K., Zhang, X., Ren, S., & Sun, J. | 2016 | Conference Paper | Citations: 150000

Source: CVPR 2016

Abstract: We present a residual learning framework to ease the training of networks that are substantially deeper....

[Recommended] ACM Digital Library Trial

Abstract: The library has opened an ACM database trial, containing the latest computer science conference papers...

3. BERT: Pre-training of Deep Bidirectional Transformers

Authors: Devlin, J., et al. | 2019 | Conference Paper | Citations: 92000

Source: NAACL-HLT 2019

Abstract: BERT is designed to pre-train deep bidirectional representations from unlabeled text....

4. Thinking, Fast and Slow

Authors: Kahneman, D. | 2011 | Book | Citations: 45000

Source: Farrar, Straus and Giroux

Abstract: The central thesis is a dichotomy between two modes of thought: System 1 (fast) and System 2 (slow)....

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5. The Structure of Scientific Revolutions

Authors: Kuhn, T. S. | 1962 | Book | Citations: 120000

Source: University of Chicago Press

Abstract: Kuhn challenges the established linear view of scientific progress....

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