Michał Zawalski

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Control and Systems Engineering — 12 citations into it

Whom Michał Zawalski trusts overall

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

1. Tony Zhao
2. Matthias Minderer
3. Zipeng Fu
4. Chelsea Finn
5. Sergey Levine
6. Geoffrey E. Hinton
7. Kaiming He
8. Diederik P. Kingma
9. Alex Krizhevsky
10. Jacky Liang

Papers from Michał Zawalski's perspective

Ordered by how strongly the researchers Michał Zawalski 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Robotic Control via Embodied Chain-of-Thought Reasoning (2024) — 358 citations