Clemens Winter

Artificial Intelligence · 2020–2024

A researcher in the Science corpus: 6 papers; trusts 34 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Clemens Winter trusts overall

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

  1. Ilya Loshchilov
  2. Yoshua Bengio
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Andrew Y. Ng
  8. G. Tesauro
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Clemens Winter overall

  1. Luke S. Zettlemoyer
  2. Yejin Choi
  3. Noah A. Smith
  4. Hannaneh Hajishirzi
  5. Graham Neubig
  6. Percy Liang
  7. Mohit Bansal
  8. Michael Lewis
  9. Jianfeng Gao
  10. Quoc V. Le

Papers from Clemens Winter's perspective

Ordered by how strongly the researchers Clemens Winter 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers