Sameer Singh

Artificial Intelligence · with Markou · 2002–2006

A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 66 researchers here, as inferred from the citation graph.

Subfields

Whom Sameer Singh trusts overall

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

  1. Dit-Yan Yeung
  2. Jeffrey K. Uhlmann
  3. Larry Michael Manevitz
  4. Teuvo Kohonen
  5. Yann LeCun
  6. Carine Hue
  7. Bernhard Schölkopf
  8. M. Sanjeev Arulampalam
  9. Vladimir Naumovich Vapnik
  10. David Martinus Johannes Tax

Who trusts Sameer Singh overall

  1. Ludmila I. Kuncheva
  2. Ingo Steinwart
  3. David Savage
  4. Charu C. Aggarwal
  5. Ryan Elwell
  6. Jorge A. Balazs
  7. Igor I. Baskin
  8. Heiko Hoffmann
  9. Marco A. F. Pimentel
  10. Xianghua Xie

Papers from Sameer Singh's perspective

Ordered by how strongly the researchers Sameer Singh 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  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