Baiming Chen
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Probabilistic & Bayesian Methods — 10 citations into it
- Reinforcement Learning — 10 citations into it
Whom Baiming Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Baiming Chen's perspective
Ordered by how strongly the researchers Baiming Chen 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)