Tung-Long Vuong

Reinforcement Learning · 2019

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

Subfields

• Reinforcement Learning — 13 citations into it

Whom Tung-Long Vuong trusts overall

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

1. Richard S. Sutton
2. Alex Krizhevsky
3. Andrei A. Rusu
4. Geoffrey E. Hinton
5. Matthew Jon Grounds
6. Ilya Sutskever
7. George Dimitri Konidaris
8. Emilio Parisotto
9. Jimmy Ba
10. Yee Whye Teh

Papers from Tung-Long Vuong's perspective

Ordered by how strongly the researchers Tung-Long Vuong trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Sharing Experience in Multitask Reinforcement Learning (2019) — 22 citations