Balint Miklos

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Balint Miklos trusts overall

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

  1. Geoffrey E. Hinton
  2. Ilya Sutskever

Papers from Balint Miklos's perspective

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

  1. Long Short-Term Memory
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. Dropout: a simple way to prevent neural networks from overfitting
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  7. Rectified Linear Units Improve Restricted Boltzmann Machines
  8. Et al
  9. Efficient Estimation of Word Representations in Vector Space
  10. GloVe: Global Vectors for Word Representation

Their papers