Nick Ryder

Artificial Intelligence · 2012–2022

A researcher in the Science corpus: 10 papers; trusts 8 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 227 citations into it; #12,734 of 35,345 by trust here, #132 by citations
• Statistical Learning Theory — 6 citations into it

Whom Nick Ryder trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Sepp Hochreiter
5. Alex Graves
6. Ilya Sutskever
7. Alex Krizhevsky
8. Oriol Vinyals
9. Yann LeCun
10. Kaiming He

Who trusts Nick Ryder overall

1. Yi Tay
2. Sewon Min
3. Renrui Zhang
4. Michael Lewis
5. Luke S. Zettlemoyer
6. Swaroop Mishra
7. Mohit Bansal
8. Timo Schick
9. Dan Hendrycks
10. Percy Liang

Papers from Nick Ryder's perspective

Ordered by how strongly the researchers Nick Ryder trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Gradient-based learning applied to document recognition
9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Language Models are Few-Shot Learners (2020) — 61,005 citations
• Evaluating Large Language Models Trained on Code (2021) — 10,663 citations
• Scaling Laws for Autoregressive Generative Modeling (2020) — 639 citations
• Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer (2022) — 295 citations
• Performance of $b$-Jet Identification in the ATLAS Experiment (2016) — 182 citations
• ATLAS Run 1 searches for direct pair production of third-generation squarks at the Large Hadron Collider (2015) — 228 citations
• Measurements of the Higgs boson production and decay rates and coupling strengths using pp collision data at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\o (2015) — 279 citations
• Constraints on new phenomena via Higgs boson couplings and invisible decays with the ATLAS detector (2015) — 260 citations
• Measurement with the ATLAS detector of multi-particle azimuthal correlations in p plus Pb collisions at root s(NN)=5.02 TeV (2013) — 143 citations
• Measurement of inclusive jet and dijet production in pp collisions at root s=7 TeV using the ATLAS detector (2012) — 155 citations