Martin Karafiát

Artificial Intelligence · 2007–2018

A researcher in the Science corpus: 8 papers; trusts 14 researchers and is trusted by 751 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Karafiát trusts overall

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

  1. Hynek Hermansky
  2. Daniel Povey
  3. Yoshua Bengio
  4. Petr Schwarz
  5. Jeffrey L. Elman
  6. Joshua Goodman
  7. Alex Graves
  8. Erik McDermott
  9. Geoffrey E. Hinton
  10. Pavel Matejka

Who trusts Martin Karafiát overall

  1. Yoshua Bengio
  2. Kyunghyun Cho
  3. Li Deng
  4. Jianfeng Gao
  5. Quoc V. Le
  6. Zhe Gan
  7. Pawel Swietojanski
  8. Oriol Vinyals
  9. Richard Socher
  10. Yoav Goldberg

Papers from Martin Karafiát's perspective

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

  1. Long Short-Term Memory
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers