Joris Pelemans

Natural Language Processing · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 26 citations into it; #4,672 of 5,688 by trust here, #4,983 by citations
• Artificial Intelligence — 24 citations into it; #23,034 of 35,345 by trust here, #25,040 by citations
• Large Language Models — 14 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Joris Pelemans trusts overall

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

1. Joshua Goodman
2. R. Rosenfeld
3. Ciprian Chelba
4. Frederick Jelinek
5. Reinhard Kneser
6. Kuzman Ganchev
7. John C. Duchi
8. Noam Shazeer
9. Yoshua Bengio
10. Hermann Ney

Who trusts Joris Pelemans overall

1. Zhijian Ou
2. Noam Shazeer

Papers from Joris Pelemans's perspective

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

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

Their papers

• Sparse Non-negative Matrix Language Modeling (2015) — 30 citations
• Skip-gram Language Modeling Using Sparse Non-negative Matrix Probability Estimation (2014) — 14 citations