Olivia Watkins

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 71 citations into it
• Computer Vision and Pattern Recognition — 61 citations into it

Whom Olivia Watkins trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yoshua Bengio
5. Ilya Sutskever
6. Kaiming He
7. Prafulla Dhariwal
8. Yann LeCun
9. Alec Radford
10. Alex Graves

Papers from Olivia Watkins's perspective

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

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

Their papers

• Aligning Text-to-Image Models using Human Feedback (2023) — 471 citations
• DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models (2023) — 460 citations
• A StrongREJECT for Empty Jailbreaks (2024) — 341 citations
• Program Language Translation Using a Grammar-Driven Tree-to-Tree Model (2018) — 18 citations