Mark Kliger

Computer Vision and Pattern Recognition · 2008–2018

A researcher in the Science corpus: 2 papers; trusts 68 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it
• Artificial Intelligence — 13 citations into it
• Generative Models — 11 citations into it

Whom Mark Kliger trusts overall

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

1. Tim Salimans
2. Ian J. Goodfellow
3. Chih-Jen Lin
4. Diederik P. Kingma
5. Geoffrey E. Hinton
6. Alec Radford
7. Alex Krizhevsky
8. Ruslan Salakhutdinov
9. Yoshua Bengio
10. Dan Hendrycks

Who trusts Mark Kliger overall

1. Avi Feller
2. Alireza Shafaei
3. Todd Grindal
4. Alexander A. Alemi
5. Hyun-Jae Choi
6. Mark W. Schmidt
7. Luke W. Miratrix

Papers from Mark Kliger's perspective

Ordered by how strongly the researchers Mark Kliger 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Novelty Detection with GAN (2018) — 57 citations
• The rank of the covariance matrix of an evanescent field (2008) — 46 citations