Terrence Szymanski

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 Terrence Szymanski trusts overall

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

1. William L. Hamilton
2. Dirk Geeraerts
3. Kristina Gulordava

Who trusts Terrence Szymanski overall

1. Xiaolei Huang

Papers from Terrence Szymanski's perspective

Ordered by how strongly the researchers Terrence Szymanski 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
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