Michiel A. Bakker

Safety, Robustness & Interpretability · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Safety, Robustness & Interpretability — 11 citations into it

Whom Michiel A. Bakker trusts overall

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

1. David John Cameron MacKay
2. J. Ross Quinlan
3. Torrin M. Liddell
4. Marc'Aurelio Ranzato
5. Jeff Wu
6. Sam Corbett-Davies
7. Thomas W. Anthony
8. Nisan Stiennon
9. Long Ouyang
10. Geoffrey E. Hinton

Who trusts Michiel A. Bakker overall

1. Dana Pessach
2. Luca Oneto
3. Erez Shmueli
4. Yann Dubois

Papers from Michiel A. Bakker's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Language Models are Few-Shot Learners (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Fine-tuning language models to find agreement among humans with diverse preferences (2022) — 336 citations
• A Ten-Qubit Solid-State Spin Register with Quantum Memory up to One Minute (2019) — 530 citations
• Active Fairness in Algorithmic Decision Making (2018) — 90 citations