Dirk Ryan Padfield
Artificial Intelligence · 2011–2023
A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 73 citations into it
- Computer Vision and Pattern Recognition — 34 citations into it; #17,607 of 21,575 by trust here, #18,782 by citations
- Speech & Audio — 33 citations into it
- Natural Language Processing — 21 citations into it
- Signal Processing — 21 citations into it
- Evaluation & Benchmarks — 16 citations into it
- Biophysics — 8 citations into it; #882 of 1,196 by trust here, #1,076 by citations
Whom Dirk Ryan Padfield trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stéphane Mallat
- Stanley J. Osher
- David L. Donoho
- Tony F. Chan
- Mário A. T. Figueiredo
- Eric N. Mortensen
- Ivo F. Sbalzarini
- Li Zhang
- Olivier Debeir
- Gang Lin
Who trusts Dirk Ryan Padfield overall
Papers from Dirk Ryan Padfield's perspective
Ordered by how strongly the researchers Dirk Ryan Padfield trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Distinctive Image Features from Scale-Invariant Keypoints
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Long Short-Term Memory
Their papers
- AudioPaLM: A Large Language Model That Can Speak and Listen (2023) — 486 citations
- Sentence Boundary Augmentation for Neural Machine Translation Robustness (2020) — 19 citations
- Coupled minimum-cost flow cell tracking for high-throughput quantitative analysis (2011) — 162 citations