Neville Ryant
Artificial Intelligence · 2008–2019
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it; #22,731 of 35,345 by trust here, #19,018 by citations
- Signal Processing — 10 citations into it; #7,371 of 7,572 by trust here, #5,340 by citations
- Natural Language Processing — 5 citations into it
Whom Neville Ryant trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David Snyder
- Daniel Povey
- Joon Son Chung
- Arsha Nagrani
- Andrew Zisserman
- Xavier Anguera Miró
- Daniel Garcia-Romero
- Vassil Panayotov
- Jon Barker
- Gregory Sell
Who trusts Neville Ryant overall
- Shota Horiguchi
- Shinji Watanabe
- Zhongxin Bai
- Yusuke Fujita
- Johan Bos
- Tae Jin Park
- Xiao-Lei Zhang
- Matteo Ruggero Ronchi
Papers from Neville Ryant's perspective
Ordered by how strongly the researchers Neville Ryant trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- The Kaldi Speech Recognition Toolkit
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- A large-scale classification of English verbs (2008) — 389 citations
- The Second DIHARD Diarization Challenge: Dataset, task, and baselines (2019) — 203 citations