Plamen Pasliev

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Safety, Robustness & Interpretability — 11 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Plamen Pasliev trusts overall

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

1. Karen Simonyan
2. Grgoire Montavon
3. Wojciech Samek
4. Sebastian Lapuschkin
5. Alexander Binder
6. Avanti Shrikumar
7. Mukund Sundararajan
8. Diederik P. Kingma
9. Geoffrey E. Hinton
10. Andrew Zisserman

Papers from Plamen Pasliev's perspective

Ordered by how strongly the researchers Plamen Pasliev 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 Large Scale Visual Recognition Challenge
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Fairwashing Explanations with Off-Manifold Detergent (2020) — 107 citations