Judith Eckle-Kohler

Artificial Intelligence · 2014–2017

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Judith Eckle-Kohler trusts overall

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

  1. Frank Fischer
  2. Pierre Dillenbourg
  3. Armin Weinberger
  4. Ming Tan

Papers from Judith Eckle-Kohler's perspective

Ordered by how strongly the researchers Judith Eckle-Kohler trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. GloVe: Global Vectors for Word Representation
  3. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
  4. Deep Sparse Rectifier Neural Networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. TensorFlow: A system for large-scale machine learning
  9. ImageNet classification with deep convolutional neural networks
  10. Bidirectional recurrent neural networks

Their papers