Benjamin Bichsel

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Benjamin Bichsel trusts overall

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

  1. Veselin Raychev
  2. Miltiadis Allamanis
  3. Martin T. Vechev
  4. Chris J. Maddison
  5. Tihomir Gvero
  6. Yajin Zhou
  7. Daniel Tarlow
  8. John D. Lafferty
  9. Svetoslav Karaivanov
  10. Earl T. Barr

Who trusts Benjamin Bichsel overall

  1. Miltiadis Allamanis
  2. Marc Brockschmidt
  3. Patrick Fernandes
  4. Uri Alon
  5. Eran Yahav
  6. Meital Zilberstein

Papers from Benjamin Bichsel's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  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. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers