David Berga

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 50 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #21,475 of 21,575 by trust here, #13,815 by citations
• Artificial Intelligence — 18 citations into it

Whom David Berga trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yann LeCun
5. Ilya Sutskever
6. Jia Deng
7. Yoshua Bengio
8. Kaiming He
9. Karen Simonyan
10. Ross B. Girshick

Who trusts David Berga overall

1. Eli Shechtman

Papers from David Berga's perspective

Ordered by how strongly the researchers David Berga 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. ImageNet: A large-scale hierarchical image database
4. ImageNet Large Scale Visual Recognition Challenge
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. GENERATIVE ADVERSARIAL NETS
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images (2019) — 208 citations