Venkatesh Akella

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Venkatesh Akella trusts overall

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

  1. Yann LeCun
  2. Kaiming He
  3. Karen Simonyan
  4. Cho-Jui Hsieh
  5. Geoffrey E. Hinton
  6. B. Recht
  7. Yoshua Bengio
  8. Christian Szegedy
  9. L. Eon Bottou

Papers from Venkatesh Akella's perspective

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

Their papers