Shin-Yeh Tsai

Information Systems · 2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 11 citations into it
• Recommender Systems — 7 citations into it

Whom Shin-Yeh Tsai trusts

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

1. Bracha Shapira (in Information Systems)

Papers from Shin-Yeh Tsai's perspective

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

1. Efficient Estimation of Word Representations in Vector Space
2. PyTorch: An Imperative Style, High-Performance Deep Learning Library
3. Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding
4. GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
5. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
6. GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
7. Beyond Data and Model Parallelism for Deep Neural Networks
8. Deep Learning Recommendation Model for Personalization and Recommendation Systems
9. Matrix Factorization Techniques for Recommender Systems
10. Mesh-TensorFlow: Deep Learning for Supercomputers

Their papers

• Understanding Capacity-Driven Scale-Out Neural Recommendation Inference (2020) — 58 citations