Yang Yang

Scaling & Learning Theory · with Ardalani · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Scaling & Learning Theory — 14 citations into it; #419 of 428 by trust here, #176 by citations

Whom Yang Yang trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Shun-ichi Amari (in Scaling & Learning Theory)

Who trusts Yang Yang

1. Aran Komatsuzaki (in Artificial Intelligence)

Papers from Yang Yang's perspective

Ordered by how strongly the researchers Yang Yang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet Large Scale Visual Recognition Challenge
3. Neural Machine Translation of Rare Words with Subword Units
4. Exploring the Limits of Language Modeling
5. Attention-Based Models for Speech Recognition
6. Effective Approaches to Attention-based Neural Machine Translation
7. Moses: Open Source Toolkit for Statistical Machine Translation
8. Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
9. One billion word benchmark for measuring progress in statistical language modeling
10. Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin

Their papers

• Deep Learning Scaling is Predictable, Empirically (2017) — 1,031 citations