Theodore L. Willke
Computer Vision and Pattern Recognition · 2009–2018
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 12 citations into it
Whom Theodore L. Willke trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Theodore L. Willke overall
Papers from Theodore L. Willke's perspective
Ordered by how strongly the researchers Theodore L. Willke trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
- Densely Connected Convolutional Networks
- Wide Residual Networks
- LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
- A Tutorial on Energy-Based Learning
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
- ImageNet classification with deep convolutional neural networks
- Towards Open Set Deep Networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers (2018) — 267 citations
- A survey of inter-vehicle communication protocols and their applications (2009) — 500 citations