Jie Qiu

Artificial Intelligence · with Berseth · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Qiu trusts overall

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

  1. Chelsea Finn
  2. Sergey Levine
  3. Geoffrey E. Hinton
  4. Pieter Abbeel
  5. Anusha Nagabandi

Papers from Jie Qiu's perspective

Ordered by how strongly the researchers Jie Qiu 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. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  8. ImageNet: A large-scale hierarchical image database
  9. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  10. Learning Multiple Layers of Features from Tiny Images

Their papers