Nina Dethlefs

Natural Language Processing · 2010

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 5 citations into it
• Reinforcement Learning — 5 citations into it

Whom Nina Dethlefs trusts overall

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

1. Andrew Barto
2. Thomas G. Dietterich
3. Sridhar Mahadevan
4. Richard S. Sutton
5. Kristina Toutanvoa
6. Christopher D. Manning
7. Ehud Reiter
8. Anya Belz
9. Martin J. Pickering
10. Esther Levin

Who trusts Nina Dethlefs overall

1. Thomas Scialom
2. Paul-Alexis Dray
3. Chunming Liu

Papers from Nina Dethlefs's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Reinforcement Learning: An Introduction
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet Large Scale Visual Recognition Challenge
10. ImageNet: A large-scale hierarchical image database

Their papers

• Hierarchical Reinforcement Learning for Adaptive Text Generation (2010) — 31 citations