Daniel Whalen

Artificial Intelligence · 2010–2016

A researcher in the Science corpus: 2 papers; trusts 38 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Whalen trusts overall

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

  1. Norman D. Megill
  2. Diederik P. Kingma
  3. Ilya Sutskever
  4. Xavier Glorot
  5. Yoshua Bengio
  6. Levente Kocsis
  7. Thang Luong
  8. Jimmy Ba
  9. Oriol Vinyals
  10. Geoffrey E. Hinton

Who trusts Daniel Whalen overall

  1. Mingzhe Wang
  2. Stanislas Polu
  3. Jesse Michael Han
  4. Kunhao Zheng
  5. Jia Deng
  6. Cezary Kaliszyk
  7. Sean Welleck
  8. Ilya Sutskever
  9. Guillaume Lample
  10. Kshitij Bansal

Papers from Daniel Whalen's perspective

Ordered by how strongly the researchers Daniel Whalen 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. 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers