Thomas Schatz

Artificial Intelligence · 2013–2021

A researcher in the Science corpus: 8 papers; trusts 109 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Schatz trusts overall

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

  1. Hynek Hermansky
  2. Aren Jansen
  3. Ulrike von Luxburg
  4. Tong Zhang
  5. Maarten Versteegh
  6. David D. Lewis
  7. Huaiyu Zhu
  8. Geoffrey E. Hinton
  9. Daniel Povey
  10. Herman Kamper

Who trusts Thomas Schatz overall

  1. Morgane Rivière
  2. Emmanuel Dupoux
  3. Maarten Versteegh
  4. Ewan Dunbar
  5. Naomi H Feldman
  6. Hongjie Chen
  7. Evgeny Kharitonov
  8. Tu Nguyen
  9. Neil Zeghidour
  10. Rahma Chaabouni

Papers from Thomas Schatz's perspective

Ordered by how strongly the researchers Thomas Schatz 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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