Mateusz Ochal

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 59 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Computer Vision and Pattern Recognition — 29 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Meta & Continual Learning — 13 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Mateusz Ochal trusts overall

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

1. Yann LeCun
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Timothée Lesort
5. Yoshua Bengio
6. Diederik P. Kingma
7. Oriol Vinyals
8. Kaiming He
9. Vincenzo Lomonaco
10. Ilya Sutskever

Papers from Mateusz Ochal's perspective

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

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

Their papers

• Defining Benchmarks for Continual Few-Shot Learning (2020) — 42 citations