David Begert
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 2 papers; trusts 51 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 44 citations into it; #13,277 of 21,575 by trust here, #9,305 by citations
- Artificial Intelligence — 37 citations into it; #21,317 of 35,345 by trust here, #13,544 by citations
- Model Architectures — 21 citations into it; #1,460 of 2,278 by trust here, #1,269 by citations
- Optimization & Training — 9 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
Whom David Begert trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts David Begert overall
Papers from David Begert's perspective
Ordered by how strongly the researchers David Begert 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
- 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
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Reversible Architectures for Arbitrarily Deep Residual Neural Networks (2017) — 298 citations
- Multi-level Residual Networks from Dynamical Systems View (2017) — 184 citations