Robert Kirby
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 2 papers; trusts 105 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 66 citations into it; #30,675 of 35,345 by trust here, #27,551 by citations
- Computer Vision and Pattern Recognition — 29 citations into it; #18,850 of 21,575 by trust here, #17,757 by citations
- Natural Language Processing — 23 citations into it
- Representation & Self-Supervised Learning — 14 citations into it
- Model Architectures — 10 citations into it
- Optimization & Training — 10 citations into it
- Efficiency & Compression — 8 citations into it
- Information Systems — 5 citations into it
Whom Robert Kirby trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Karen Simonyan
- Yann LeCun
- Quoc V. Le
- Jia Deng
Who trusts Robert Kirby overall
Papers from Robert Kirby's perspective
Ordered by how strongly the researchers Robert Kirby 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Large Scale Language Modeling: Converging on 40GB of Text in Four Hours (2018) — 31 citations
- ChipNeMo: Domain-Adapted LLMs for Chip Design (2023) — 296 citations