Yee-Chun Lee

Model Architectures · 1989–2017

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Model Architectures — 9 citations into it

Whom Yee-Chun Lee trusts overall

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

1. Ronald J. Williams
2. David E. Rumelhart
3. C. Lee Giles

Who trusts Yee-Chun Lee overall

1. J. Urgen Schmidhuber
2. Felix Alexander Gers
3. Sepp Hochreiter

Papers from Yee-Chun Lee's perspective

Ordered by how strongly the researchers Yee-Chun Lee trusts endorse each paper. Same corpus, a different order for every researcher.

1. Learning internal representations by error propagation
2. Phoneme recognition using time-delay neural networks
3. Computation: Finite and Infinite Machines
4. Extraction of rules from discrete-time recurrent neural networks
5. Higher Order Recurrent Networks and Grammatical Inference
6. Syntactic pattern recognition and applications
7. On the computational power of neural nets
8. Adaptive pattern recognition and neural networks
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• The Neural Network Pushdown Automaton: Model, Stack and Learning Simulations (2017) — 32 citations
• Time Warping Invariant Neural Networks (1992)
• Higher Order Recurrent Networks and Grammatical Inference (1989)