Hubert Teo

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Natural Language Processing — 6 citations into it
• Safety, Robustness & Interpretability — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Hubert Teo trusts overall

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

1. Pang Wei Koh
2. Frank Hampel
3. Stephen P. Boyd
4. Amirata Ghorbani

Papers from Hubert Teo's perspective

Ordered by how strongly the researchers Hubert Teo 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 classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• On the Accuracy of Influence Functions for Measuring Group Effects (2019) — 247 citations