Anna Goldie

Artificial Intelligence · 2017–2025

A researcher in the Science corpus: 8 papers; trusts 62 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 149 citations into it; #13,749 of 35,345 by trust here, #3,167 by citations
• Natural Language Processing — 85 citations into it; #5,422 of 5,688 by trust here, #2,529 by citations
• Computer Vision and Pattern Recognition — 44 citations into it; #8,957 of 21,575 by trust here, #7,027 by citations
• Model Architectures — 17 citations into it; #1,000 of 2,278 by trust here, #987 by citations
• Evaluation & Benchmarks — 16 citations into it

Whom Anna Goldie trusts overall

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

1. Yoshua Bengio
2. Ilya Sutskever
3. Kyunghyun Cho
4. Geoffrey E. Hinton
5. Dzmitry Bahdanau
6. Oriol Vinyals
7. Christian Szegedy
8. Rico Sennrich
9. Alex Krizhevsky
10. Diederik P. Kingma

Who trusts Anna Goldie overall

1. Álvaro Peris
2. Boris Ivanovic
3. Michele Tufano
4. Richard Ngo
5. Ondrej Dusek
6. Yu-An Wang
7. Akshita Jha
8. Denny Britz
9. Xizhou Zhu
10. Dan Otter

Papers from Anna Goldie's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Constitutional AI: Harmlessness from AI Feedback (2022) — 3,377 citations
• Massive Exploration of Neural Machine Translation Architectures (2017) — 546 citations
• Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models (2017) — 218 citations
• The Capacity for Moral Self-Correction in Large Language Models (2023) — 214 citations
• Measuring Progress on Scalable Oversight for Large Language Models (2022) — 226 citations
• A graph placement methodology for fast chip design (2021) — 775 citations
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
• Generating Long and Diverse Responses with Neural Conversation Models (2017) — 65 citations