Mathew Teoh

Evaluation & Benchmarks · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Evaluation & Benchmarks — 6 citations into it

Whom Mathew Teoh trusts overall

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

1. A. P. Dawid
2. Tongliang Liu
3. Nagarajan Natarajan
4. Jiannan Wang

Papers from Mathew Teoh's perspective

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

1. Active Learning Literature Survey
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. CrowdER: Crowdsourcing Entity Resolution
6. Classification in the Presence of Label Noise: A Survey
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning with Noisy Labels
9. Learning Multiple Layers of Features from Tiny Images
10. Maximum Likelihood Estimation of Observer Error‐Rates Using the EM Algorithm

Their papers

• Cleaning Crowdsourced Labels Using Oracles For Statistical Classification (2018) — 39 citations