Sameep Mehta

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 8 papers; trusts 52 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Sameep Mehta trusts overall

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

  1. Ian J. Goodfellow
  2. Geoffrey E. Hinton
  3. Christian Szegedy
  4. Nicolas Papernot
  5. Yann LeCun
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Alex Krizhevsky
  9. Oriol Vinyals
  10. Tomas Mikolov

Who trusts Sameep Mehta overall

  1. Yonatan Belinkov
  2. James R. Glass
  3. Motoki Sato
  4. Ji Gao
  5. Melika Behjati
  6. Nadir Durrani
  7. Han Xu
  8. Franziska Boenisch
  9. Mahima Pushkarna

Papers from Sameep Mehta's perspective

Ordered by how strongly the researchers Sameep Mehta 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. Learning Multiple Layers of Features from Tiny Images
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers