SIF Smooth Inverse Frequency A SIMPLE BUT TOUGH-TO-BEAT BASELINE FOR SENTENCE EMBEDDING...
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IP属地：浙江
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句子相似度计算之sentence embedding_1 -
句子相似度计算之sentence embedding_2Ref：Bert-Flow: https://arxiv.org/pdf/2011.05864.pdf[https://arxiv.org/pdf/2011.05864.pd...
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FLAT: Chinese NER Using Flat-Lattice Transformerhttps://arxiv.org/pdf/2004.11795.pdf[https://arxiv.org/pdf/2004.11795.pdf]https://githu...
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FILTER: An Enhanced Fusion Method for Cross-lingual Language Understandinghttps://arxiv.org/pdf/2009.05166.pdf[https://arxiv.org/pdf/2009.05166.pdf] 背景 当前的跨语言学习主...
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多模态模型汇总-按需更新一注意：时间逆序排列关键词：Unicoder-VL, VisualBERT, ViLBERT, VideoBERT 多模态模型汇总-按需更新一：2019年发布的多模态模型汇总[...
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多模态模型汇总-按需更新二注意：时间逆序排列关键词：UNIMO, UNITER, Pixel-BERT, Oscar 多模态模型汇总-按需更新一：2019年发布的多模态模型汇总[https://www...
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Tokenize/Wordcut方法汇总关键词： BPE, WordPiece, Unigram, SentencePiece https://arxiv.org/pdf/2004.03720.pdf[https:...
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多模态模型补充-CLIPCLIP [OpenAI 21.01] Learning Transferable Visual Models From Natural Language Supervisi...
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多模态模型汇总-按需更新三注意：时间逆序排列关键词：ALBEF, CLIP, UniT, Vx2TEXT 多模态模型汇总-按需更新一：2019年发布的多模态模型汇总[https://www.jians...
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LiveBot 和 Response to LiveBot：弹幕生成LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts[https://ar...
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HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summa...Ref: https://arxiv.org/pdf/1905.06566.pdf[https://arxiv.org/pdf/1905.06566.pdf] 主流的文本摘要...
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Pay Attention to MLPsRef: https://arxiv.org/pdf/2105.08050.pdf[https://arxiv.org/pdf/2105.08050.pdf]code：htt...
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概率分布，熵，指数，相关性分析，loss等
前提：二维随机变量(x,y)，所有可能的取值为，其中,，且, 。 概率分布 类型表达式联合概率分布, 条件概率分布全概率公式x和y条件独立x和y有相关性 熵 条件熵： 联合熵...
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样本不均衡-Focal loss，GHMRef:https://openaccess.thecvf.com/content_ICCV_2017/papers/Lin_Focal_Loss_for_ICCV_2017...
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HMM理论及代码实现Ref：https://web.stanford.edu/~jurafsky/slp3/A.pdf[https://web.stanford.edu/~jurafsky/sl...
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BLEURT: Learning Robust Metrics for Text GenerationRef: https://arxiv.org/pdf/2004.04696.pdf[https://arxiv.org/pdf/2004.04696.pdf] 背景 如何评估...
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STAR-GCN论文笔记STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender System...