Etienne Marcheret

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 117 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #4,360 of 35,345 by trust here, #4,205 by citations
• Computer Vision and Pattern Recognition — 12 citations into it; #3,079 of 21,575 by trust here, #3,191 by citations
• Natural Language Processing — 9 citations into it; #1,126 of 5,688 by trust here, #1,024 by citations
• Evaluation & Benchmarks — 6 citations into it
• Reinforcement Learning — 5 citations into it

Whom Etienne Marcheret trusts overall

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

1. Ronald J. Williams
2. Oriol Vinyals
3. Diederik P. Kingma
4. Richard S. Sutton
5. Kaiming He
6. Geoffrey E. Hinton
7. Sepp Hochreiter
8. Ilya Sutskever
9. Chin-Yew Lin
10. Jimmy Ba

Who trusts Etienne Marcheret overall

1. Marcella Cornia
2. Mohit Bansal
3. Ruotian Luo
4. Ramakanth Pasunuru
5. Jiuxiang Gu
6. Lorenzo Baraldi
7. Ting Yao
8. Peter Anderson
9. Matteo Stefanini
10. Huan Ling

Papers from Etienne Marcheret's perspective

Ordered by how strongly the researchers Etienne Marcheret 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. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Self-Critical Sequence Training for Image Captioning (2016) — 2,119 citations