Victor Greiff

Artificial Intelligence · with Brandstetter · 2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Victor Greiff trusts

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

  1. John J. Hopfield (in Model Architectures)
  2. Jimmy Ba (in Artificial Intelligence)
  3. Diederik P. Kingma (in Artificial Intelligence)

Papers from Victor Greiff's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Et al
  8. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  9. Generating Sequences With Recurrent Neural Networks
  10. Reinforcement Learning: An Introduction

Their papers