Wen Kokke

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wen Kokke trusts overall

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

  1. Xiaowei Huang

Papers from Wen Kokke's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Intriguing properties of neural networks
  3. Explaining and Harnessing Adversarial Examples
  4. Towards Deep Learning Models Resistant to Adversarial Attacks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. Gradient-based learning applied to document recognition
  8. Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
  9. Learning Multiple Layers of Features from Tiny Images
  10. Towards Deep Neural Network Architectures Robust to Adversarial Examples

Their papers