Tim Cooijmans
Computer Vision and Pattern Recognition · 2015–2019
A researcher in the Science corpus: 4 papers; trusts 50 researchers and is trusted by 35 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 53 citations into it; #21,386 of 21,575 by trust here, #10,154 by citations
- Artificial Intelligence — 50 citations into it; #6,740 of 35,345 by trust here, #7,797 by citations
- Model Architectures — 32 citations into it
- Optimization & Training — 20 citations into it; #973 of 2,601 by trust here, #894 by citations
- Generative Models — 12 citations into it
- Probabilistic & Bayesian Methods — 9 citations into it
Whom Tim Cooijmans trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Graves
- Alex Krizhevsky
- Ilya Sutskever
- Hugo Larochelle
- Kaiming He
- Jimmy Ba
- Yann LeCun
Who trusts Tim Cooijmans overall
- Yoshua Bengio
- Robert S. DiPietro
- Ben Krause
- Shaojie Bai
- João Carreira
- Lei Huang
- Huy P Phan
- Andrew Zisserman
- Quoc V. Le
- Jimmy Ba
Papers from Tim Cooijmans's perspective
Ordered by how strongly the researchers Tim Cooijmans trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Recurrent Batch Normalization (2016) — 418 citations
- Dynamic Capacity Networks (2015) — 109 citations
- Counterpoint by Convolution (2019) — 166 citations
- Theano: A Python framework for fast computation of mathematical expressions (2016) — 2,380 citations