Blake Camp
Artificial Intelligence · 2018–2020
A researcher in the Science corpus: 3 papers; trusts 141 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 52 citations into it
- Computer Vision and Pattern Recognition — 36 citations into it
- Meta & Continual Learning — 26 citations into it
- Representation & Self-Supervised Learning — 20 citations into it
- Optimization & Training — 14 citations into it
- Cognitive Neuroscience — 10 citations into it
- Electrical and Electronic Engineering — 8 citations into it
- Reinforcement Learning — 7 citations into it
Whom Blake Camp trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Yann LeCun
- Geoffrey E. Hinton
- Yoshua Bengio
- Kaiming He
- Diederik P. Kingma
- Li Deng
- Ruslan Salakhutdinov
- L. Eon Bottou
- Alex Graves
Papers from Blake Camp's perspective
Ordered by how strongly the researchers Blake Camp 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
- Gradient-based learning applied to document 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)
- 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
- Continual Learning with Deep Artificial Neurons (2020) — 9 citations
- A Scalable Approach to Multi-Context Continual Learning via Lifelong Skill Encoding (2018)
- Self-Net: Lifelong Learning via Continual Self-Modeling (2018) — 18 citations