Scott Howland

Representation & Self-Supervised Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Representation & Self-Supervised Learning — 6 citations into it

Whom Scott Howland trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Gregory R. Koch
2. Yann LeCun
3. Oriol Vinyals
4. Geoffrey E. Hinton

Papers from Scott Howland's perspective

Ordered by how strongly the researchers Scott Howland trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Few-Shot Learning with Metric-Agnostic Conditional Embeddings (2018) — 165 citations