Jemin Hwangbo

Biomedical Engineering · 2016–2022

A researcher in the Science corpus: 9 papers; trusts 86 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Jemin Hwangbo trusts overall

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

  1. John Schulman
  2. Marco Hutter
  3. Sergey Levine
  4. Richard S. Sutton
  5. Pieter Abbeel
  6. Yoshua Bengio
  7. Geoffrey E. Hinton
  8. Xue Bin Peng
  9. Ronald J. Williams
  10. Diederik P. Kingma

Who trusts Jemin Hwangbo overall

  1. Ashish Kumar
  2. Marco Hutter
  3. Takahiro Miki
  4. Gabriel B. Margolis
  5. Zipeng Fu
  6. Lorenz Wellhausen
  7. Vladlen Koltun
  8. Chen Tang
  9. Jitendra Malik
  10. Ananye Agarwal

Papers from Jemin Hwangbo's perspective

Ordered by how strongly the researchers Jemin Hwangbo 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers