Oliver Kramer

Artificial Intelligence · 2013–2017

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Oliver Kramer trusts overall

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

1. Christopher K. I. Williams
2. Olivier Chapelle
3. Thorsten Joachims
4. Chih-Jen Lin

Papers from Oliver Kramer's perspective

Ordered by how strongly the researchers Oliver Kramer trusts endorse each paper. Same corpus, a different order for every researcher.

1. LIBSVM: A library for support vector machines
2. Transductive Inference for Text Classification using Support Vector Machines
3. ImageNet classification with deep convolutional neural networks
4. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Maximum Margin Clustering
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Trading convexity for scalability
10. Long Short-Term Memory

Their papers

• Fast and simple gradient-based optimization for semi-supervised support vector machines (2014) — 60 citations
• Genetic Algorithm Essentials (2017) — 395 citations
• Dimensionality Reduction with Unsupervised Nearest Neighbors (2013) — 322 citations
• K-Nearest Neighbors (2013) — 697 citations