Peva Blanchard

Optimization & Training · 2017

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

Whom Peva Blanchard trusts overall

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

  1. L. Eon Bottou
  2. Tong Zhang
  3. Lili Su
  4. Simon S. Haykin
  5. Rainer Gemulla
  6. El Mahdi El Mhamdi
  7. Nitin H. Vaidya
  8. Seif Haridi
  9. Yann LeCun
  10. Geoffrey E. Hinton

Who trusts Peva Blanchard overall

  1. Cong Xie
  2. Oluwasanmi Koyejo
  3. Deepesh Data
  4. Lie He
  5. Xinyang Cao
  6. Virat Shejwalkar
  7. Hongyi Wang
  8. El Mahdi El Mhamdi
  9. Clement Fung
  10. Sai Praneeth Karimireddy

Papers from Peva Blanchard's perspective

Ordered by how strongly the researchers Peva Blanchard 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. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers