Zhiwei Zhang

Artificial Intelligence · with Berseth · 2021

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 57 citations into it
• Reinforcement Learning — 28 citations into it
• Meta & Continual Learning — 26 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Computational Theory and Mathematics — 7 citations into it

Whom Zhiwei Zhang trusts overall

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

1. J. Urgen Schmidhuber
2. Chelsea Finn
3. Sergey Levine
4. Geoffrey E. Hinton
5. Pieter Abbeel
6. Yoshua Bengio
7. Diederik P. Kingma
8. Richard S. Sutton
9. Alex Krizhevsky
10. Ilya Sutskever

Who trusts Zhiwei Zhang overall

1. Jorge Armando Mendez Mendez

Papers from Zhiwei Zhang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• CoMPS: Continual Meta Policy Search (2021) — 20 citations