Chao Deng

Molecular Biology · with Ahlgren · 2020

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

Subfields

Whom Chao Deng trusts overall

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

  1. Derrick E. Fouts
  2. Diederik P. Kingma

Papers from Chao Deng's perspective

Ordered by how strongly the researchers Chao Deng trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
  3. Concrete Problems in AI Safety
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
  7. Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
  8. Gradient-based learning applied to document recognition
  9. Predicting effects of noncoding variants with deep learning–based sequence model
  10. Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks

Their papers