Aditya V. Thakur

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aditya V. Thakur trusts overall

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

  1. Ian J. Goodfellow
  2. Christian Szegedy
  3. Kexin Pei
  4. Augustus Odena
  5. Geoffrey E. Hinton
  6. Osbert Bastani
  7. Alex Krizhevsky
  8. Ilya Sutskever
  9. Yoshua Bengio
  10. Dan Hendrycks

Papers from Aditya V. Thakur's perspective

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

Their papers