Joe Carthy

Natural Language Processing · 2015

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 17 citations into it
• Artificial Intelligence — 16 citations into it
• Information Systems — 7 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Joe Carthy trusts overall

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

1. David M. Blei
2. Daniel D. Lee
3. Tomas Mikolov
4. T. Griffiths
5. Thomas Hofmann
6. Chih-Jen Lin
7. Michael I. Jordan
8. David Mimno
9. Sanjeev Arora
10. Radford M. Neal

Papers from Joe Carthy's perspective

Ordered by how strongly the researchers Joe Carthy 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Down the (White) Rabbit Hole: The Extreme Right and Online Recommender Systems (2015) — 172 citations
• An analysis of the coherence of descriptors in topic modeling (2015) — 343 citations