Tristan Karch

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tristan Karch trusts overall

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

  1. Richard S. Sutton
  2. Geoffrey E. Hinton
  3. J. Urgen Schmidhuber
  4. Pieter Abbeel
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Alex Krizhevsky
  8. Marc G. Bellemare
  9. Yann LeCun
  10. David Held

Papers from Tristan Karch's perspective

Ordered by how strongly the researchers Tristan Karch 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers