Brendan Shillingford
Artificial Intelligence · 2016–2019
A researcher in the Science corpus: 5 papers; trusts 140 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 94 citations into it; #27,708 of 35,345 by trust here, #8,619 by citations
- Signal Processing — 58 citations into it; #4,928 of 7,572 by trust here, #1,147 by citations
- Computer Vision and Pattern Recognition — 46 citations into it
- Natural Language Processing — 35 citations into it
- Safety, Robustness & Interpretability — 15 citations into it
- Generative Models — 12 citations into it
- Model Architectures — 10 citations into it
- Optimization & Training — 8 citations into it
Whom Brendan Shillingford trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Andrew Zisserman
- Joon Son Chung
- Geoffrey E. Hinton
- Alex Graves
- Karen Simonyan
- Alex Krizhevsky
- Yoshua Bengio
- Kaiming He
- J. Urgen Schmidhuber
Who trusts Brendan Shillingford overall
- Pingchuan Ma
- Stavros Petridis
- Triantafyllos Afouras
- Maja Pantic
- Brais Martínez
- Konstantinos Vougioukas
- Joon Son Chung
- Yunpeng Li
Papers from Brendan Shillingford's perspective
Ordered by how strongly the researchers Brendan Shillingford 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
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Sample Efficient Adaptive Text-to-Speech (2018) — 162 citations
- Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations (2019) — 105 citations
- Large-Scale Visual Speech Recognition (2018) — 172 citations
- LipNet: End-to-End Sentence-level Lipreading (2016) — 482 citations
- Speech Bandwidth Extension with Wavenet (2019) — 31 citations