Karmesh Yadav

Artificial Intelligence · 2020–2024

A researcher in the Science corpus: 3 papers; trusts 85 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Karmesh Yadav trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Marc'Aurelio Ranzato
  6. Yoshua Bengio
  7. Yann LeCun
  8. N. Schraudolph
  9. J. Urgen Schmidhuber
  10. Ilya Sutskever

Who trusts Karmesh Yadav overall

  1. Jorge Armando Mendez Mendez
  2. Krishnan Raghavan
  3. Glen Berseth
  4. Danruo Deng
  5. Haeyong Kang

Papers from Karmesh Yadav's perspective

Ordered by how strongly the researchers Karmesh Yadav 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers