Padraig Cunningham
Artificial Intelligence · 2003–2020
A researcher in the Science corpus: 11 papers; trusts 59 researchers and is trusted by 34 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 37 citations into it; #5,605 of 35,345 by trust here, #9,092 by citations
- Natural Language Processing — 17 citations into it
- Statistical and Nonlinear Physics — 13 citations into it; #7,921 of 10,127 by trust here, #8,981 by citations
- Signal Processing — 12 citations into it
- Information Systems — 11 citations into it; #5,253 of 8,771 by trust here, #4,682 by citations
- Computer Vision and Pattern Recognition — 10 citations into it; #6,246 of 21,575 by trust here, #11,721 by citations
- Sociology and Political Science — 10 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
Whom Padraig Cunningham trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Ross Quinlan
- Ron Kohavi
- Henry Brighton
- Christopher K. I. Williams
- Alex Smola
- Bernhard Schölkopf
- David M. Blei
- Yossi Rubner
- David William Aha
- Andrew W. Moore
Who trusts Padraig Cunningham overall
- Conor Nugent
- Mark T. Keane
- Dónal Doyle
- Eoin M. Kenny
- Maarten Grootendorst
- Frode Sørmo
- Been Kim
- Tian Wang
- Kyunghyun Cho
- Yasumasa Onoe
Papers from Padraig Cunningham's perspective
Ordered by how strongly the researchers Padraig Cunningham trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Practical solutions to the problem of diagonal dominance in kernel document clustering (2006) — 723 citations
- Down the (White) Rabbit Hole: The Extreme Right and Online Recommender Systems (2015) — 172 citations
- k-Nearest Neighbour Classifiers - A Tutorial (2020) — 863 citations
- An analysis of the coherence of descriptors in topic modeling (2015) — 343 citations
- Tracking the Evolution of Communities in Dynamic Social Networks (2010) — 547 citations
- Gaining insight through case-based explanation (2009) — 59 citations
- A Case-Based Explanation System for Black-Box Systems (2005) — 96 citations
- Diversity in search strategies for ensemble feature selection (2005) — 343 citations
- Explanation Oriented Retrieval (2004) — 89 citations
- An Evaluation of the Usefulness of Case-Based Explanation (2003) — 136 citations
- A Review of Explanation and Explanation in Case-Based Reasoning (2003) — 62 citations