Achal Dave

Computer Vision and Pattern Recognition · 2017–2024

A researcher in the Science corpus: 7 papers; trusts 771 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Achal Dave trusts overall

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

  1. Karen Simonyan
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Andrew Zisserman
  6. Ross B. Girshick
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Achal Dave overall

  1. Lukás Neumann
  2. Jinwoo Choi
  3. Thomas Liao
  4. Nicholas Carlini
  5. Josip Djolonga
  6. Andrew Zisserman
  7. Hieu Pham
  8. Rohan Taori
  9. Chen Gao
  10. Mitchell Wortsman

Papers from Achal Dave's perspective

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

Their papers