Derek O'Callaghan

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 Derek O'Callaghan 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. David Mimno
8. Sanjeev Arora
9. Michael I. Jordan
10. Hanna M. Wallach

Papers from Derek O'Callaghan's perspective

Ordered by how strongly the researchers Derek O'Callaghan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

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