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【VAE论文解读系列】FactorVAE: Disentangling by Factorising(ICML 2018) 【VAE论文解读系列】FactorVAE: Disentangling by Factorising(ICML 2018)
相关资料 Paper:https://arxiv.org/pdf/1802.05983.pdf A Paper in 5 mins — FactorVAE 知乎:论文阅读FactorVAE 动机FactorVAE的作者深度分析了原始V
2022-03-04
【知识蒸馏论文解读】Dataset Distillation 创新性十足的数据集蒸馏 【知识蒸馏论文解读】Dataset Distillation 创新性十足的数据集蒸馏
写在前面最近对数据集蒸馏比较感兴趣,抽时间看了下这篇经典的数据蒸馏论文《Dataset Distillation》,它是属于knowledge distillation领域的工作。 论文地址:https://arxiv.org/pdf/
2021-12-17
【GAN论文解读系列】NeurIPS 2016 InfoGAN 使用InfoGAN解耦出可解释的特征 【GAN论文解读系列】NeurIPS 2016 InfoGAN 使用InfoGAN解耦出可解释的特征
论文题目:InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets 论文地址:https:/
2021-12-17
【NIPS 2016图神经网络论文解读】Variational Graph Auto-Encoders (VGAE) 基于VAE的图变分自编码器 【NIPS 2016图神经网络论文解读】Variational Graph Auto-Encoders (VGAE) 基于VAE的图变分自编码器
写在前面 论文题目:Variational Graph Auto-Encoders 论文作者:Thomas N. Kipf, Max Welling 论文组织:University of Amsterdam 论文会议:NIPS Works
2021-12-10
【ICLR 2018图神经网络论文解读】Graph Attention Networks (GAT) 图注意力模型 【ICLR 2018图神经网络论文解读】Graph Attention Networks (GAT) 图注意力模型
论文题目:Graph Attention Networks 论文地址:https://arxiv.org/pdf/1710.10903.pdf 论文代码:https://github.com/PetarV-/GAT 论文引用:Ve
2021-11-23
【ICML 2018图神经网络论文解读】Representation Learning on Graphs with Jumping Knowledge Networks (JK-Net) 【ICML 2018图神经网络论文解读】Representation Learning on Graphs with Jumping Knowledge Networks (JK-Net)
论文题目:Representation Learning on Graphs with Jumping Knowledge Networks 会议:ICML 2018 论文地址:https://arxiv.org/pdf/1806.03
2021-10-19
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