Karel Veselý

Artificial Intelligence · 2011–2017

A researcher in the Science corpus: 6 papers; trusts 34 researchers and is trusted by 72 researchers here, as inferred from the citation graph.

Subfields

Whom Karel Veselý trusts overall

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

  1. Brian Kingsbury
  2. Mark John Francis Gales
  3. Geoffrey E. Hinton
  4. Daniel Povey
  5. Hervé Bourlard
  6. Scott Novotney
  7. Matthew Gibson
  8. Dong Yu
  9. Tara N. Sainath
  10. Frank Torsten Bernd Seide

Who trusts Karel Veselý overall

  1. Vimal Manohar
  2. Daniel Povey
  3. Andrew L. Maas
  4. Mirco Ravanelli
  5. Dong Yu
  6. Li Deng
  7. Alexei Baevski
  8. Awni Y. Hannun
  9. Chao Weng
  10. Shinji Watanabe

Papers from Karel Veselý's perspective

Ordered by how strongly the researchers Karel Veselý 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. A Fast Learning Algorithm for Deep Belief Nets
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers