Yilong Yin

Artificial Intelligence · with Du · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it
• Representation & Self-Supervised Learning — 15 citations into it
• Model Architectures — 9 citations into it

Whom Yilong Yin trusts overall

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

1. Alex Krizhevsky
2. J. Urgen Schmidhuber
3. Alex Graves
4. Geoffrey E. Hinton

Papers from Yilong Yin's perspective

Ordered by how strongly the researchers Yilong Yin trusts endorse each paper. Same corpus, a different order for every researcher.

1. Learning Multiple Layers of Features from Tiny Images
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Stochastic Backpropagation and Approximate Inference in Deep Generative Models

Their papers

• Learning to Learn Kernels with Variational Random Features (2020) — 38 citations