Yu Chen
Artificial Intelligence · with Caccia · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 27 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it
- Optimization & Training — 9 citations into it
- Evaluation & Benchmarks — 6 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
Whom Yu Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Trevor Campbell
- Qiang Liu
- Matthew D. Hoffman
- Friedemann Zenke
- Jimmy Ba
- Han Xiao
- Jonathan Huggins
- Tamara Broderick
- Geoffrey E. Hinton
Who trusts Yu Chen overall
- Sayna Ebrahimi
- Hexiang Hu
- Cuong V Nguyen
- Ozan Sener
- Mohamed Elhoseiny
- Alessandro Achille
- K. J. Joseph
Papers from Yu Chen's perspective
Ordered by how strongly the researchers Yu Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)