Robbie Jones
Artificial Intelligence · 2020–2022
A researcher in the Science corpus: 2 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 72 citations into it
- Computer Vision and Pattern Recognition — 48 citations into it
- Representation & Self-Supervised Learning — 31 citations into it
- Safety, Robustness & Interpretability — 14 citations into it
- Natural Language Processing — 10 citations into it
- Statistics and Probability — 6 citations into it
Whom Robbie Jones trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Yann LeCun
- Christian Szegedy
- Dan Hendrycks
- R. Caruana
Papers from Robbie Jones's perspective
Ordered by how strongly the researchers Robbie Jones 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- 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)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution (2022) — 972 citations
- In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness (2020) — 68 citations