Angus Dempster
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 72 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 41 citations into it; #31,948 of 35,345 by trust here, #26,682 by citations
- Computer Vision and Pattern Recognition — 20 citations into it
- Signal Processing — 16 citations into it; #6,871 of 7,572 by trust here, #5,340 by citations
- Model Architectures — 10 citations into it
- Management Science and Operations Research — 6 citations into it; #10,762 of 11,946 by trust here, #8,062 by citations
- Representation & Self-Supervised Learning — 6 citations into it
- Economics and Econometrics — 5 citations into it
- Efficiency & Compression — 5 citations into it
Whom Angus Dempster trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ali Rahimi
- Yann LeCun
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Hassan Ismail Fawaz
- Alex Krizhevsky
- Jaka Demsar
- B. Recht
- Anthony J. Bagnall
Who trusts Angus Dempster overall
Papers from Angus Dempster's perspective
Ordered by how strongly the researchers Angus Dempster 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels (2019) — 1,086 citations
- MiniRocket: A Very Fast (Almost) Deterministic Transform for Time Series Classification (2020) — 545 citations