Shi Bin Hoo

Artificial Intelligence · 2025

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

• Artificial Intelligence — 24 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Model Architectures — 6 citations into it

Whom Shi Bin Hoo trusts

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

1. Noam Shazeer (in Artificial Intelligence)

Papers from Shi Bin Hoo's perspective

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

1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
3. Understanding the difficulty of training deep feedforward neural networks
4. SGDR: Stochastic Gradient Descent with Warm Restarts
5. XGBoost: A Scalable Tree Boosting System
6. FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness (Neural Information Processing Systems)
7. A Unified Approach to Interpreting Model Predictions
8. Fast Transformer Decoding: One Write-Head is All You Need
9. Revisiting Deep Learning Models for Tabular Data (Neural Information Processing Systems)
10. AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Their papers

• Accurate predictions on small data with a tabular foundation model (2025) — 1,171 citations