Kaiwen He
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 — 20 citations into it
- Federated & Distributed Learning — 12 citations into it
- Computer Networks and Communications — 7 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
Whom Kaiwen He trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chelsea Finn
- Qiang Yang
- H. Brendan McMahan
- Manoj Ghuhan Arivazhagan
- Virginia Smith
- En Li
- Yihan Jiang
- Pieter Abbeel
Who trusts Kaiwen He overall
Papers from Kaiwen He's perspective
Ordered by how strongly the researchers Kaiwen He trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)