IP屬地：北京
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RoBERTa, 基于BERT的優(yōu)化版預(yù)訓(xùn)練模型
Roberta: A robustly optimized bert pretraining approachCitation: 1669 (2...
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Transformer-XL，處理超級(jí)長(zhǎng)序列的TransformerTransformer-xl: Attentive language models beyond a fixed-length contextC...
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BERT, 18, 預(yù)訓(xùn)練模型Bert: Pre-training of deep bidirectional transformers for language under...
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Transformer, NeurIPS17, Attention is all you needAttention Is All You NeedCitation: 26532 (2021-09-04) 1. Motivation 重讀經(jīng)典...
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MIND, CIKM19, 天貓用戶多興趣表示的召回模型Multi-interest network with dynamic routing for recommendation at TmallC...
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ANIL, ICLR20, 重新審視MAML中的重要部分Rapid learning or feature reuse? towards understanding the effectiveness...
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元學(xué)習(xí)綜述-分類Meta-Learning in Neural Networks: A SurveyCitation: 236 (2021-08-29) 1. ...
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元學(xué)習(xí)綜述-introduction
Meta-Learning in Neural Networks: A SurveyCitation: 236 (2021-08-29) 1. ...
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DRN, WWW18，深度強(qiáng)化學(xué)習(xí)推薦系統(tǒng)DRN: A Deep Reinforcement Learning Framework for News Recommendation Cit...