Daniel Jin
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 47 citations into it
- Computer Vision and Pattern Recognition — 41 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
Whom Daniel Jin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Daniel Jin's perspective
Ordered by how strongly the researchers Daniel Jin trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions