Robert Bamler

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 105 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Robert Bamler trusts overall

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

  1. Tomas Mikolov
  2. Diederik P. Kingma
  3. David M. Blei
  4. Yoshua Bengio
  5. Michael I. Jordan
  6. Richard Socher
  7. Geoffrey E. Hinton
  8. Danilo Jimenez Rezende
  9. Ilya Sutskever
  10. Radford M. Neal

Who trusts Robert Bamler overall

  1. Raghavendra Chalapathy
  2. Mario Giulianelli
  3. Cheng Zhang
  4. Vincent Fortuin
  5. Aodong Li
  6. Haim Dubossarsky
  7. Spurthi Amba Hombaiah
  8. Stephan Mandt
  9. Sanjay Chawla
  10. Susan Athey

Papers from Robert Bamler's perspective

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

Their papers