Kate Baumli

Artificial Intelligence · 2020–2025

A researcher in the Science corpus: 5 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 168 citations into it
• Reinforcement Learning — 130 citations into it

Whom Kate Baumli trusts overall

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

1. J. Urgen Schmidhuber
2. Geoffrey E. Hinton
3. Richard S. Sutton
4. Yoshua Bengio
5. Kaiming He
6. Diederik P. Kingma
7. Alex Krizhevsky
8. Yann LeCun
9. Ilya Sutskever
10. Alex Graves

Papers from Kate Baumli's perspective

Ordered by how strongly the researchers Kate Baumli 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. 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. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Acme: A Research Framework for Distributed Reinforcement Learning (2020) — 248 citations
• Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context (2024) — 3,818 citations
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
• Training Language Models to Self-Correct via Reinforcement Learning (2024) — 429 citations
• Human-Timescale Adaptation in an Open-Ended Task Space (2023) — 163 citations