10 Makalah Teratas Paling Penting di Bidang AI & Machine Learning Tahun 2019

Memilih 10 makalah paling bermakna di bidang AI tahun ini, lalu merangkum ikhtisar tiap makalah, pencapaian utama, respons komunitas AI dan riwayat penghargaannya, area riset lanjutan yang relevan di masa depan, bidang bisnis yang dapat diterapkan, serta lokasi kode implementasinya.

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