Zolt'an Tuske

Artificial Intelligence · 2012–2021

A researcher in the Science corpus: 7 papers; trusts 102 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Zolt'an Tuske trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Hervé Bourlard
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Sepp Hochreiter
  7. Alex Krizhevsky
  8. Ilya Sutskever
  9. J. Urgen Schmidhuber
  10. Yann LeCun

Who trusts Zolt'an Tuske overall

  1. Rohit Prabhavalkar
  2. Tara N. Sainath
  3. Dimitri Palaz
  4. Li Deng
  5. Takaaki Hori
  6. Jianshu Chen
  7. Ralf Schlüter
  8. Jinyu Li
  9. Shinji Takaki
  10. Ron J. Weiss

Papers from Zolt'an Tuske's perspective

Ordered by how strongly the researchers Zolt'an Tuske 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. 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers