2019年 AI・機械学習分野の主要論文 Top 10

今年のAI分野で最も意義のある10本の論文を選び、各論文の要約、主要な成果、AIコミュニティの反応や受賞歴、関連する今後の追加研究領域、適用可能なビジネス分野、実装コードの所在などを整理。

1. The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

2. Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

3. Meta-Learning Update Rules for Unsupervised Representation Learning

4. On the Variance of the Adaptive Learning Rate and Beyond

5. XLNet: Generalized Autoregressive Pretraining for Language Understanding

6. ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

7. Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems

8. A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction

9. Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning

10. Learning Existing Social Conventions via Observationally Augmented Self-Play