Adam Wiemerslage

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Adam Wiemerslage trusts overall

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

  1. Yann LeCun
  2. Alex Krizhevsky
  3. Dzmitry Bahdanau
  4. Geoffrey E. Hinton
  5. Kyunghyun Cho
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Rico Sennrich
  9. Ian H. Witten
  10. Karen Simonyan

Who trusts Adam Wiemerslage overall

  1. Jason Wei
  2. Rongzhi Zhang
  3. Xiang Yu

Papers from Adam Wiemerslage's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers