Vijay Gadepally

Artificial Intelligence · 2016–2023

A researcher in the Science corpus: 5 papers; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Vijay Gadepally trusts overall

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

  1. Florian Tramèr
  2. Lawrence R. Rabiner
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Song Han
  7. Yuval Yarom
  8. Ilya Sutskever
  9. Yann LeCun
  10. Ian J. Goodfellow

Who trusts Vijay Gadepally overall

  1. Ekim Yurtsever
  2. Xinli Geng
  3. Jacob Lambert
  4. Huawei Liang
  5. Alexander Carballo

Papers from Vijay Gadepally's perspective

Ordered by how strongly the researchers Vijay Gadepally 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers