Ivan J. Tashev

Signal Processing · 2008–2020

A researcher in the Science corpus: 8 papers; trusts 60 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Ivan J. Tashev trusts overall

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

  1. Yoshua Bengio
  2. Paul J. Werbos
  3. Dong Yu
  4. Geoffrey E. Hinton
  5. Alex Graves
  6. Lawrence R. Rabiner
  7. Jean-Marc Valin
  8. Sepp Hochreiter
  9. J. Urgen Schmidhuber
  10. Diederik P. Kingma

Who trusts Ivan J. Tashev overall

  1. Chandan K. A. Reddy
  2. Seyedmahdad Mirsamadi
  3. Wootaek Lim
  4. Ross Cutler
  5. Vishak Gopal
  6. S. Abdullah
  7. Amir Zadeh
  8. Harishchandra Dubey
  9. Taiba Maijd Wani
  10. Emad Barsoum

Papers from Ivan J. Tashev's perspective

Ordered by how strongly the researchers Ivan J. Tashev 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers