Sentence-BERT: Sentence Embeddings using Siamese BERT …
2017). RoBERTa (Liu et al.,2019) showed, that the performance of BERT can further improved by small adaptations to the pre-training process. We also tested XLNet (Yang et al.,2019), but it led in general to worse results than BERT. A large disadvantage of the BERT network structure is that no independent sentence embed-
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arXiv:0706.3639v1 [cs.AI] 25 Jun 2007
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Deep Residual Learning for Image Recognition - …
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arXiv:1301.3781v3 [cs.CL] 7 Sep 2013
arxiv.orgFor all the following models, the training complexity is proportional to O = E T Q; (1) where E is number of the training epochs, T is the number of …
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@google.com arXiv:1609.03499v2 [cs.SD] 19 Sep 2016
arxiv.orgwhere 1 <x t <1 and = 255. This non-linear quantization produces a significantly better reconstruction than a simple linear quantization scheme. …
A Tutorial on UAVs for Wireless Networks: …
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Adversarial Generative Nets: Neural Network …
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Massive Exploration of Neural Machine Translation ...
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Mastering Chess and Shogi by Self-Play with a …
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