David Fridovich-Keil

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom David Fridovich-Keil trusts overall

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

  1. Eric R. Ziegel
  2. Pieter Abbeel
  3. Frans Adriaan Oliehoek
  4. Leonid Peshkin
  5. Jiantao Jiao
  6. Baosen Zhang
  7. Andrew Y. Ng

Who trusts David Fridovich-Keil overall

  1. Hanlin Tang

Papers from David Fridovich-Keil's perspective

Ordered by how strongly the researchers David Fridovich-Keil trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Apprenticeship learning via inverse reinforcement learning
  2. Information Theory: 1948-1998 - Guest Editorial
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. The Elements of Statistical Learning
  6. Reinforcement Learning: An Introduction
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Human-level control through deep reinforcement learning

Their papers