Daniel Haas

Artificial Intelligence · 2014–2022

A researcher in the Science corpus: 6 papers; trusts 71 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Haas trusts overall

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

  1. Ross B. Girshick
  2. Lubomir D. Bourdev
  3. Geoffrey E. Hinton
  4. Sanjay Krishnan
  5. Jiannan Wang
  6. Navneet Dalal
  7. Alex Krizhevsky
  8. Jitendra Malik
  9. Yoshua Bengio
  10. Pedro F. Felzenszwalb

Who trusts Daniel Haas overall

  1. Sanjay Krishnan
  2. M. Franklin
  3. Adam Van Etten
  4. Eugene Wu
  5. Lisha Li
  6. Jiannan Wang
  7. Ken Goldberg
  8. Gang Luo
  9. Marc-André Zöller
  10. Mohammad Mahdavi

Papers from Daniel Haas's perspective

Ordered by how strongly the researchers Daniel Haas 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. Gradient-based learning applied to document recognition
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers