Gabriel Ebner

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gabriel Ebner trusts

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

  1. Ilya Sutskever (in Artificial Intelligence)
  2. Daniel Whalen (in Artificial Intelligence)
  3. Diederik P. Kingma (in Artificial Intelligence)
  4. Jimmy Ba (in Artificial Intelligence)

Papers from Gabriel Ebner's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Language Models are Unsupervised Multitask Learners
  5. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
  6. Automatic differentiation in PyTorch
  7. Neural Machine Translation of Rare Words with Subword Units
  8. Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
  9. A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
  10. Deep Learning for Symbolic Mathematics

Their papers