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Semantic Scholar. Semantic Scholar ialah sebuah enjin carian berasaskan kepintaran buatan yang dikhususkan bagi terbitan ilmiah yang dibangunkan oleh Allen Institute for AI, dan dilancarkan pada November 2015. [1] Enjin ini menggunakan pemprosesan bahasa semula jadi untuk memberikan ringkasan berkenaan kandungan terbitan ilmiah. [2]
Jun 12, 2017 · Attention is All you Need. Ashish Vaswani, Noam M. Shazeer, +5 authors. Illia Polosukhin. Published in Neural Information Processing… 12 June 2017. Computer Science. TLDR. A new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely is proposed, which ...
May 18, 2015 · A large, deep convolutional neural network was trained to classify the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest into the 1000 different classes and employed a recently developed regularization method called "dropout" that proved to be very effective. Expand. 109,579. PDF.
Oct 6, 2023 · How to claim your author page. Search for your page. Select “Claim Author Page”. Complete the request form. Our support team will review the request and send you an email confirmation once approved. If you have any questions, please contact us at feedback@semanticscholar.org.
Semantic Scholar is and always will be free and open for all to use. We’re a product of the Allen Institute for AI, a non-profit, philanthropic institution founded by Paul G. Allen in 2014 to contribute to humanity through high-impact AI research and engineering.
