Ma-teusz Litwin
Artificial Intelligence · 2019–2024
A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 193 citations into it; #13,960 of 35,345 by trust here, #176 by citations
Whom Ma-teusz Litwin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Urgen Schmidhuber
- Geoffrey E. Hinton
- Diederik P. Kingma
- Sergey Levine
- Kaiming He
- Sepp Hochreiter
- Yoshua Bengio
Who trusts Ma-teusz Litwin overall
- Luke S. Zettlemoyer
- Yejin Choi
- Noah A. Smith
- Hannaneh Hajishirzi
- Mohit Bansal
- Michael Lewis
- Percy Liang
- Graham Neubig
- Jianfeng Gao
- Quoc V. Le
Papers from Ma-teusz Litwin's perspective
Ordered by how strongly the researchers Ma-teusz Litwin trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Et al
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Attention is All you Need (Neural Information Processing Systems)
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Their papers
- Language Models are Few-Shot Learners (2020) — 61,005 citations
- Solving Rubik's Cube with a Robot Hand (2019) — 1,497 citations
- GPT-4o System Card (2024) — 4,622 citations
- GPT-4 Technical Report (2023) — 26,133 citations
- Moving the Eiffel Tower to ROME: Tracing and Editing Facts in GPT (2021)