# ICLR2019をよむアドベントカレンダー Advent Calendar 2018

Participant20People

Subscriber60People

48

Category：Science & Theory

Creator：@TMats

【お気軽に参加表明どうぞ】

みなさん、ICLRを読まないと年が越せませんよね．

ということで，みんなで最新の論文をdeepにlearningしていきましょう(deepな論文でなくてもいいです)．

Sun | Mon | Tue | Wed | Thu | Fri | Sat |
---|---|---|---|---|---|---|

25 | 26 | 27 | 28 | 29 | 30 | |

(仮)Temporal Difference Variational Auto-Encoder を読みたい | ||||||

(仮) An analytic theory of generalization dynamics and transfer learning in deep linear networks | (仮)Multi-modal Generative adversarial networks for diverse datasets。数弱だけど理解できるようにがんばる | (仮)Variational Autoencoder with Arbitrary Conditioningを読みたい | ||||

（仮）Generative Adversarial Self-Imitation Learning | 仮)Learning Localized Generative Models for 3D Point Clouds via Graph Convolution読みたい | (仮)Learning Factorized Multimodal Representations | 26 | 27 | 28 | 29 |

(仮)Temporal Difference Variational Auto-Encoder を読みたい | |

(仮) An analytic theory of generalization dynamics and transfer learning in deep linear networks | |

(仮)Multi-modal Generative adversarial networks for diverse datasets。数弱だけど理解できるようにがんばる | |

(仮)Variational Autoencoder with Arbitrary Conditioningを読みたい | |

（仮）Generative Adversarial Self-Imitation Learning | |

仮)Learning Localized Generative Models for 3D Point Clouds via Graph Convolution読みたい | |

(仮)Learning Factorized Multimodal Representations |

Sun | Mon | Tue | Wed | Thu | Fri | Sat |
---|---|---|---|---|---|---|

25 | 26 | 27 | 28 | 29 | 30 | |

(仮)Temporal Difference Variational Auto-Encoder を読みたい | ||||||

(仮) An analytic theory of generalization dynamics and transfer learning in deep linear networks | (仮)Multi-modal Generative adversarial networks for diverse datasets。数弱だけど理解できるようにがんばる | (仮)Variational Autoencoder with Arbitrary Conditioningを読みたい | ||||

（仮）Generative Adversarial Self-Imitation Learning | 仮)Learning Localized Generative Models for 3D Point Clouds via Graph Convolution読みたい | (仮)Learning Factorized Multimodal Representations | 26 | 27 | 28 | 29 |

(仮)Temporal Difference Variational Auto-Encoder を読みたい | |

(仮) An analytic theory of generalization dynamics and transfer learning in deep linear networks | |

(仮)Multi-modal Generative adversarial networks for diverse datasets。数弱だけど理解できるようにがんばる | |

(仮)Variational Autoencoder with Arbitrary Conditioningを読みたい | |

（仮）Generative Adversarial Self-Imitation Learning | |

仮)Learning Localized Generative Models for 3D Point Clouds via Graph Convolution読みたい | |

(仮)Learning Factorized Multimodal Representations |