Donghwa Shin
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it; #28,476 of 35,345 by trust here, #32,362 by citations
- Information Systems — 9 citations into it
- Computer Networks and Communications — 8 citations into it; #7,827 of 9,886 by trust here, #8,844 by citations
- Signal Processing — 7 citations into it
- Statistics and Probability — 7 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Donghwa Shin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Rfdo 2XWOLHUV
- Robert Tibshirani
- Stephen D. Bay
- Jesse Davis
- Bernhard Schölkopf
- Hans-Peter Kriegel
- Himabindu Lakkaraju
- Fei Tony Liu
- Fabian Keller
Who trusts Donghwa Shin overall
Papers from Donghwa Shin's perspective
Ordered by how strongly the researchers Donghwa Shin trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Contextual Outlier Interpretation (2017) — 76 citations