Lukas Balles

Optimization & Training · 2016–2019

A researcher in the Science corpus: 7 papers; trusts 318 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Lukas Balles trusts overall

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

  1. Alex Krizhevsky
  2. Diederik P. Kingma
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. Matthew D. Zeiler
  6. Yoshua Bengio
  7. Yurii E. Nesterov
  8. L. Eon Bottou
  9. James Martens
  10. Jimmy Ba

Who trusts Lukas Balles overall

  1. Felix Dangel
  2. Dami Choi
  3. Philipp Hennig
  4. Frederik Kunstner
  5. Jianyu Wang
  6. Mohamed Reyad
  7. Jiawei Zhao
  8. Christopher J. Shallue
  9. Sai Praneeth Karimireddy
  10. Samuel L. Smith

Papers from Lukas Balles's perspective

Ordered by how strongly the researchers Lukas Balles 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  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