David Kappel
Artificial Intelligence · 2015–2018
A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it
- Computer Vision and Pattern Recognition — 22 citations into it; #14,898 of 21,575 by trust here, #11,498 by citations
- Efficiency & Compression — 19 citations into it; #840 of 1,264 by trust here, #899 by citations
Whom David Kappel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Robert Tibshirani
- Alex Graves
- Jonathan Baxter
- Max Welling
- Yoshua Bengio
- Yann LeCun
- David E. Rumelhart
- Maxwell D. Collins
- Alex Krizhevsky
Who trusts David Kappel overall
- Tim Dettmers
- Hesham Mostafa
- Zengyi Li
- Guillaume Bellec
- Shiwei Liu
- Jonathan Frankle
- Utku Evci
- Xiao Zhou
- Mikhail Khodak
- Tao Lin
Papers from David Kappel's perspective
Ordered by how strongly the researchers David Kappel trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Deep Rewiring: Training very sparse deep networks (2017) — 311 citations
- Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype (2018) — 74 citations
- Synaptic Plasticity as Bayesian Inference (2015) — 45 citations