冯思远 - Parameter Hub
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陈天奇 - TVM
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林己 - TSM（Temporal Shift Module）
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侯博涵 - AutoTVM
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冯思远-Learning-based Deep Learning Compiler
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秦佳锐 - RippleNet
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何泰然 - Generative Adversarial Imitation Learning
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王鸿伟 - Knowledge Graph Neural Networks for Recommender Systems
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蒋乐天 - PPO
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粟锐 - DDPG
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沈贯 - Automated phrase mining from massive text corpra
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韩松 - Model Compression and Efficient Deep Learning
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潘哲逸 - Cluster-GCN
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20大模型全栈-分布式训练03-模型并行-张量并行、朴素流水线并行原理
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赵寒烨 - AdaGrad
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周铭 - DQN
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还得看吴恩达！一口气讲透CNN、RNN、GAN、LSTM、YOLO、transformer等六大深度学习神经网路算法！真的不要太爽~（AI人工智能丨机器学习）
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侯博涵-Transformer
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陈伟哲-DeepFM
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张文涛 - LM-LSTM-CRF
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侯嘉伟 - Graph convolutional neural networks for web-scale recommender systems
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晋嘉睿 - HetGNN
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蔡炯 - CRF autoencoder for unsupevised dependency parsing
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赖行 - Soft Actor-Critic
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黄培耕 - Nash Q-Leaning
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秦佳锐 - Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
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罗雅婷 - Mining Quality Phrases from Massive Text Corpora
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黄泽人 - QMIX
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周思锦 - IntentGC
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张力文 - Gaussian Mixture Latent Vector Grammars
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朱晨旭 - node importance in KG
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徐逸凡 - NeuralStyleTransfer
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杨正宇 - wgantpp
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周志明 - AdaShift
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陈力恒 - node2vec
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杨学 - SCRDet
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苏起冬 - pix2pix
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西云佳 - Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
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徐逸凡 - TASO
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任云玮 - GD Provably Optimizes Over-parameterized NNs
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缪佳宇-CommNet