Antoine Chassang
Computer Vision and Pattern Recognition · 2014
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 597 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 19 citations into it; #1,784 of 21,575 by trust here, #1,237 by citations
- Artificial Intelligence — 15 citations into it; #3,753 of 35,345 by trust here, #1,659 by citations
- Representation & Self-Supervised Learning — 6 citations into it
Whom Antoine Chassang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yann LeCun
- Ian J. Goodfellow
- Jimmy Ba
- Diederik P. Kingma
- Ilya Sutskever
- L. Eon Bottou
Who trusts Antoine Chassang overall
- Zhiqiang Shen
- Seonguk Park
- Nikolaos Passalis
- Dacheng Tao
- Yunhe Wang
- Byeongho Heo
- Linfeng Zhang
- Suraj Srinivas
- Xialei Liu
- Kaiming He
Papers from Antoine Chassang's perspective
Ordered by how strongly the researchers Antoine Chassang trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- FitNets: Hints for Thin Deep Nets (2014) — 4,770 citations