Kam-Chuen Jim

Intelligent Systems in Molecular Biology · 1994–2005

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Whom Kam-Chuen Jim trusts overall

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

1. Russell Reed
2. Ronald J. Williams
3. Yann LeCun
4. Stephen Jose Hanson
5. David E. Goldberg
6. Geoffrey E. Hinton
7. David Zipser
8. Gert Cauwenberghs
9. John S. Denker
10. Anders Krogh

Who trusts Kam-Chuen Jim overall

1. Alex Graves
2. Pratik Chaudhari
3. Saahil Ognawala
4. J. Urgen Schmidhuber
5. Stefano Soatto
6. Yoshua Bengio
7. Changhao Shan
8. Abdel-rahman Mohamed
9. Geoffrey E. Hinton
10. Sergey Levine

Papers from Kam-Chuen Jim's perspective

Ordered by how strongly the researchers Kam-Chuen Jim 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. Learning Multiple Layers of Features from Tiny Images
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. A Learning Algorithm for Boltzmann Machines
10. Going deeper with convolutions

Their papers

• Learning Communication for Multi-agent Systems (2002) — 35 citations
• Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps (2005) — 500 citations
• An analysis of noise in recurrent neural networks: convergence and generalization (1996)
• Effects of Noise on Convergence and Generalization in Recurrent Networks (1994)