Rahul Dey
Computer Vision and Pattern Recognition · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 46 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 27 citations into it
- Generative Models — 22 citations into it
- Artificial Intelligence — 14 citations into it; #18,053 of 35,345 by trust here, #25,809 by citations
- Model Architectures — 12 citations into it
- Signal Processing — 5 citations into it
Whom Rahul Dey trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- J. Urgen Schmidhuber
- Ilya Sutskever
- Sepp Hochreiter
- Felix Alexander Gers
- Wojciech Zaremba
- Alex Krizhevsky
- Alex Graves
Who trusts Rahul Dey overall
- Albert Y. Kim
- Mikel Canizo
- Olga Fink
- Yihan Cao
- Caren Marzban
- Isaac Triguero
- Qin Wang
- Siyu Li
- Donald B. Percival
- Angel Conde
Papers from Rahul Dey's perspective
Ordered by how strongly the researchers Rahul Dey 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- RankGAN: A Maximum Margin Ranking GAN for Generating Faces (2018) — 24 citations
- Gate-variants of Gated Recurrent Unit (GRU) neural networks (2017) — 2,106 citations