Adva Wolf

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Adva Wolf trusts overall

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

  1. Maximilian Nickel
  2. Ivana Balazevic
  3. Kristina Toutanova
  4. Antoine Bordes
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. Qi Liu
  9. Nicolas Usunier
  10. Alex Krizhevsky

Papers from Adva Wolf's perspective

Ordered by how strongly the researchers Adva Wolf 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  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