Haveesh Goli

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haveesh Goli trusts overall

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

  1. Christian Szegedy
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Sergey Ioffe
  5. Alex Krizhevsky
  6. Qi-Yan Dou
  7. Yoshua Bengio
  8. Ilya Sutskever

Papers from Haveesh Goli's perspective

Ordered by how strongly the researchers Haveesh Goli 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 classification with deep convolutional neural networks
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Going deeper with convolutions
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Dropout: a simple way to prevent neural networks from overfitting
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers