Epfl

Artificial Intelligence · 2007–2019

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Epfl trusts

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

  1. Diederik P. Kingma (in Artificial Intelligence)
  2. Jimmy Ba (in Artificial Intelligence)

Papers from Epfl's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  4. A Stochastic Approximation Method
  5. Decoupled Weight Decay Regularization
  6. Random Search for Hyper-Parameter Optimization
  7. ImageNet classification with deep convolutional neural networks
  8. Gradient-based learning applied to document recognition
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers