Yaxi Gao

Artificial Intelligence · 2019–2020

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

Subfields

Whom Yaxi Gao trusts

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

  1. Ning Qian (in Optimization & Training)
  2. Yoshua Bengio (in Artificial Intelligence)

Papers from Yaxi Gao's perspective

Ordered by how strongly the researchers Yaxi Gao 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 Large Scale Visual Recognition Challenge
  3. Going deeper with convolutions
  4. Rethinking the Inception Architecture for Computer Vision
  5. Dimensionality Reduction by Learning an Invariant Mapping
  6. FaceNet: A unified embedding for face recognition and clustering
  7. ImageNet classification with deep convolutional neural networks
  8. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
  9. TensorFlow: A system for large-scale machine learning
  10. Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Their papers