Jinsa Kuruvilla

Comput. Methods Programs Biomed. · 2014

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 7 researchers here, as inferred from the citation graph.

Whom Jinsa Kuruvilla trusts overall

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

  1. Roberto Battiti
  2. Martin A. Riedmiller

Who trusts Jinsa Kuruvilla overall

  1. Devinder Kumar
  2. Qingzeng Song
  3. Alexander Wong
  4. Lei Zhao
  5. David A Clausi
  6. Xing-cheng Luo

Papers from Jinsa Kuruvilla's perspective

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

  1. First- and Second-Order Methods for Learning: Between Steepest Descent and Newton's Method
  2. A direct adaptive method for faster backpropagation learning: the RPROP algorithm
  3. An empirical study of learning speed in back-propagation networks
  4. ImageNet classification with deep convolutional neural networks
  5. Learning Multiple Layers of Features from Tiny Images
  6. Increased rates of convergence through learning rate adaptation
  7. Rectified Linear Units Improve Restricted Boltzmann Machines
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Human-level control through deep reinforcement learning

Their papers