Thaddäus Wiedemer

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Computer Vision and Pattern Recognition — 29 citations into it

Whom Thaddäus Wiedemer trusts overall

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

1. Alex Krizhevsky

Papers from Thaddäus Wiedemer's perspective

Ordered by how strongly the researchers Thaddäus Wiedemer 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. Visualizing and Understanding Convolutional Networks
5. Intriguing properties of neural networks
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
10. Going deeper with convolutions

Their papers

• Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks (2019) — 132 citations