Artëm Yankov

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 Artëm Yankov trusts overall

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

1. Gregory R. Koch

Papers from Artëm Yankov's perspective

Ordered by how strongly the researchers Artëm Yankov 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. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
3. ImageNet classification with deep convolutional neural networks
4. Matching Networks for One Shot Learning
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Prototypical Networks for Few-shot Learning
10. Learning Multiple Layers of Features from Tiny Images

Their papers

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