Jeremy Salwen

Natural Language Processing · 2014

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 11 citations into it
• Artificial Intelligence — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Jeremy Salwen trusts overall

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

1. Peter D. Turney
2. Wen-tau Yih
3. Saif M. Mohammad
4. Liang Xiong

Who trusts Jeremy Salwen overall

1. Anne Lauscher

Papers from Jeremy Salwen's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. A Neural Probabilistic Language Model
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Natural Language Processing (Almost) from Scratch
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Word Semantic Representations using Bayesian Probabilistic Tensor Factorization (2014) — 47 citations