Rini Jasmine Gladstone

Statistical and Nonlinear Physics · 2021

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rini Jasmine Gladstone trusts overall

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

  1. L. Eon Bottou
  2. Maizar Raissi
  3. Pavel B. Bochev
  4. Matthew D. Zeiler
  5. Sebastian Ruder
  6. Stephen R. Marsland
  7. Ilya Sutskever
  8. Geoffrey E. Hinton
  9. John C. Duchi
  10. Yoshua Bengio

Papers from Rini Jasmine Gladstone's perspective

Ordered by how strongly the researchers Rini Jasmine Gladstone 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers