J. Freyberg

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it

Whom J. Freyberg trusts overall

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

1. Kaiming He

Papers from J. Freyberg's perspective

Ordered by how strongly the researchers J. Freyberg 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Unsupervised Visual Representation Learning by Context Prediction
8. Representation Learning with Contrastive Predictive Coding
9. ImageNet Large Scale Visual Recognition Challenge
10. Long Short-Term Memory

Their papers

• Big Self-Supervised Models Advance Medical Image Classification (2021) — 741 citations