Stas Bekman
Artificial Intelligence · 2021–2023
A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 248 citations into it
Whom Stas Bekman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Jimmy Ba
- Kaiming He
- Ilya Sutskever
- Yann LeCun
- Noam Shazeer
- Alex Graves
Papers from Stas Bekman's perspective
Ordered by how strongly the researchers Stas Bekman trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Microsoft COCO: Common Objects in Context
Their papers
- OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents (2023) — 370 citations
- What Language Model to Train if You Have One Million GPU Hours? (2022) — 125 citations
- Datasets: A Community Library for Natural Language Processing (2021) — 775 citations
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations