David B. Grimes
Representation & Self-Supervised Learning · 2005
A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Representation & Self-Supervised Learning — 7 citations into it
- Cognitive Neuroscience — 5 citations into it; #1,967 of 10,852 by trust here, #7,348 by citations
- Neuroscience — 5 citations into it
Whom David B. Grimes trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rajesh P. N. Rao
- Peter Földiák
- Julian Besag
- Geoffrey E. Hinton
- Barbara Olshausen
- Terrence J. Sejnowski
- Sam T. Roweis
- Anthony J. Bell
- Josh Tenenbaum
- Daniel D. Lee
Who trusts David B. Grimes overall
- Roland Memisevic
- Guillaume Desjardins
- Pietro Berkes
- Geoffrey E. Hinton
- Brian Cheung
- Yoshua Bengio
- Aaron C. Courville
- Will Y. Zou
- Karl Ridgeway
- Richard E. Turner
Papers from David B. Grimes's perspective
Ordered by how strongly the researchers David B. Grimes 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Backpropagation Applied to Handwritten Zip Code Recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Bilinear Sparse Coding for Invariant Vision (2005) — 109 citations