Zhiwei Jia

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 206 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Optimization & Training — 20 citations into it
• Scaling & Learning Theory — 15 citations into it
• Model Architectures — 9 citations into it
• Statistical Learning Theory — 8 citations into it
• Computational Mechanics — 7 citations into it

Whom Zhiwei Jia trusts overall

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

1. David A. McAllester
2. Alex Krizhevsky
3. Behnam Neyshabur
4. Kaiming He
5. Diederik P. Kingma
6. Geoffrey E. Hinton
7. Peter L. Bartlett
8. Jorma Rissanen
9. Yoshua Bengio
10. Sepp Hochreiter

Who trusts Zhiwei Jia overall

1. Amira Abbas
2. David Sutter

Papers from Zhiwei Jia's perspective

Ordered by how strongly the researchers Zhiwei Jia 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. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
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

• Information-Theoretic Local Minima Characterization and Regularization (2019) — 22 citations