Ting Gong

Computer Vision and Pattern Recognition · with Bhiwandiwalla · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Artificial Intelligence — 15 citations into it

Whom Ting Gong trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Yann LeCun
4. Yunhui Guo
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Ashish Vaswani
8. Yoshua Bengio
9. Jia Deng

Papers from Ting Gong's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Long Short-Term Memory
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks (2020) — 54 citations