Michael Carl Tschantz

Artificial Intelligence · 2005–2020

A researcher in the Science corpus: 9 papers; trusts 7 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Carl Tschantz trusts overall

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

  1. Cynthia Dwork
  2. Frank McSherry
  3. Chih-Jen Lin
  4. Kobbi Nissim
  5. Jason Reed
  6. Latanya Sweeney
  7. L. Eon Bottou
  8. Geoffrey E. Hinton
  9. Avrim Blum
  10. Radford M. Neal

Who trusts Michael Carl Tschantz overall

  1. Danfeng Zhang
  2. Anna C. Gilbert
  3. Gilles Barthe
  4. Daniel Kifer
  5. L. Elisa Celis
  6. Audra McMillan
  7. Bo Cowgill
  8. Wenbin Zhang
  9. Anupam Datta
  10. Alex Kantchelian

Papers from Michael Carl Tschantz's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Learning Multiple Layers of Features from Tiny Images
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Object Detection with Discriminatively Trained Part Based Models

Their papers