Gabriel Forgues
Natural Language Processing · 2014
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 6 citations into it
- Artificial Intelligence — 5 citations into it
Whom Gabriel Forgues trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xin Li
- Eric Hsin-Chun Huang
- Tomas Mikolov
- Richard Socher
- Dan Roth
- Yoshua Bengio
- Ronan Collobert
- Quoc V. Le
- Christopher D. Manning
- Andrew Y. Ng
Who trusts Gabriel Forgues overall
- Ananya B. Sai
- Akash Kumar Mohankumar
- Iulian Serban
- Shikib Mehri
- Julia Kiseleva
- Mingqi Gao
- Tiancheng Zhao
- Weixin Liang
- Maxine Eskénazi
- Mitesh M. Khapra
Papers from Gabriel Forgues's perspective
Ordered by how strongly the researchers Gabriel Forgues trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images