Finnian Lattimore

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Finnian Lattimore trusts overall

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

  1. Daphne Koller
  2. Sébastien Bubeck
  3. Jean-Yves Audibert
  4. Eyal Even-Dar
  5. Peter Auer
  6. Kevin G. Jamieson
  7. L. Eon Bottou
  8. J. Langford
  9. Nir Friedman
  10. Alexandre B. Tsybakov

Who trusts Finnian Lattimore overall

  1. Ruocheng Guo
  2. Lu Cheng
  3. Rajat Sen
  4. Maria Dimakopoulou
  5. Jundong Li
  6. P. Richard Hahn

Papers from Finnian Lattimore's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Some aspects of the sequential design of experiments
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Reinforcement Learning: An Introduction
  8. ImageNet: A large-scale hierarchical image database
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers