James Neufeld

2004–2006

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Whom James Neufeld trusts overall

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

1. Thorsten Joachims
2. Andrew Y. Ng
3. Christopher K. I. Williams
4. Michael I. Jordan
5. Gert R. G. Lanckriet

Who trusts James Neufeld overall

1. Armand Joulin
2. Francis R. Bach
3. Piotr Bojanowski
4. Xiaogang Wang
5. Ronan Collobert
6. Xiao-Lei Zhang
7. Jean-Baptiste Alayrac
8. Dan Zhang
9. Ivan Laptev
10. Kevin D. Tang

Papers from James Neufeld's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Normalized cuts and image segmentation
4. Gradient-based learning applied to document recognition
5. On Spectral Clustering: Analysis and an algorithm
6. Transductive Inference for Text Classification using Support Vector Machines
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Long Short-Term Memory

Their papers

• Learning predictive state representations using non-blind policies (2006) — 52 citations
• Maximum Margin Clustering (2004) — 528 citations