Anthony Manchin

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Reinforcement Learning — 9 citations into it

Whom Anthony Manchin trusts overall

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

1. Yahong Han
2. Dzmitry Bahdanau
3. Yoshua Bengio
4. Matthew J. Hausknecht
5. Geoffrey E. Hinton
6. Ross B. Girshick
7. John Schulman
8. X. Wang
9. Kaiming He
10. Karen Simonyan

Who trusts Anthony Manchin overall

1. Dmitry Nikulin
2. Anastasia Ianina

Papers from Anthony Manchin's perspective

Ordered by how strongly the researchers Anthony Manchin 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Reinforcement Learning with Attention that Works: A Self-Supervised Approach (2019) — 67 citations