Il-Su Park

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 48 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it; #24,747 of 35,345 by trust here, #33,294 by citations
• Optimization & Training — 16 citations into it
• Scaling & Learning Theory — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it; #15,304 of 21,575 by trust here, #21,103 by citations
• Model Architectures — 9 citations into it
• Statistical and Nonlinear Physics — 8 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it
• Signal Processing — 6 citations into it

Whom Il-Su Park trusts overall

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

1. Jeffrey Pennington
2. Diederik P. Kingma
3. Sam Schoenholz
4. Radford M. Neal
5. James Martens
6. Geoffrey E. Hinton
7. Felix Opitz
8. Yoshua Bengio
9. Tim Salimans
10. Jaehoon Lee

Who trusts Il-Su Park overall

1. Cem Anil

Papers from Il-Su Park's perspective

Ordered by how strongly the researchers Il-Su Park 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Information Geometry of Orthogonal Initializations and Training (2018) — 17 citations
• Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling (2018) — 85 citations