Sachin P. Joglekar

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sachin P. Joglekar trusts overall

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

  1. Karol J. Piczak
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton

Papers from Sachin P. Joglekar's perspective

Ordered by how strongly the researchers Sachin P. Joglekar trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Distilling the Knowledge in a Neural Network (arXiv.org)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Scikit-learn: Machine Learning in Python
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers