Jacob Munkberg

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jacob Munkberg trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Olga Sorkine-Hornung
  4. Jimmy Ba
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. S. M. Seitz
  8. Ross B. Girshick
  9. M. Kazhdan
  10. Yoshua Bengio

Who trusts Jacob Munkberg overall

  1. Jun Gao
  2. Zhiqin Chen
  3. Rui Chen
  4. Ibraheem Alhashim
  5. Christian Reiser
  6. Nantheera Anantrasirichai
  7. Maithra Raghu
  8. Ademola Enitan Ilesanmi
  9. Ben Mildenhall
  10. Chen-Hsuan Lin

Papers from Jacob Munkberg's perspective

Ordered by how strongly the researchers Jacob Munkberg 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers