Schmidhuber:我们的神经网络跟别人不一样的地方在于,我们搞清楚了怎么让神经网络更深、更强,尤其是 RNN,最普遍也是最深层的神经网络,有反馈连接,在理论上能够运行任意的算法或程序与环境互动。1991 年,我发表了第一个“Very Deep Learners”,这是一个比“深度学习之父”、乌克兰数学家 Ivaknenko 在上世纪 60 年代...
Sungjin AhnA model-based approach to meta-Reinforcement Learning: Transformers and tree search[Paper]...
We train BI-LSTM models (500 epochs, SGD learning rate=0.5) for sentences in every lanugage respectively, and then test the tagging accuracy on sentences in other languages. That is, we train a POS tagger based on sentences written by learners with Japanese native language background, and use...
(2) What were the top five metaphors used by high school students when discussing the idea of English? (3) What conceptual categories might high school students' metaphors be classified under, based on their common characteristics? (4) Did the gender of the lear...
XuTransformers are Meta-Reinforcement Learners[Paper]June 2022Luckeciano C. MeloTransformer-based ...