Erik Velldal

Natural Language Processing · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 22 citations into it
• Representation & Self-Supervised Learning — 10 citations into it

Whom Erik Velldal trusts overall

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

1. William L. Hamilton
2. Dirk Geeraerts

Who trusts Erik Velldal overall

1. Michael J. Paul
2. Xiaolei Huang

Papers from Erik Velldal's perspective

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

1. GloVe: Global Vectors for Word Representation
2. Efficient Estimation of Word Representations in Vector Space
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. From Frequency to Meaning: Vector Space Models of Semantics
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Gradient-based learning applied to document recognition
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Diachronic word embeddings and semantic shifts: a survey (2018) — 354 citations