Zakhar Shumaylov

Artificial Intelligence · 2021–2024

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Zakhar Shumaylov trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Kaiming He
6. Christian Szegedy
7. Ilya Sutskever
8. Ian J. Goodfellow
9. Diederik P. Kingma
10. Rahaf Aljundi

Papers from Zakhar Shumaylov's perspective

Ordered by how strongly the researchers Zakhar Shumaylov 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. Gradient-based learning applied to document recognition
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• The Curse of Recursion: Training on Generated Data Makes Models Forget (2023) — 507 citations
• AI models collapse when trained on recursively generated data (2024) — 891 citations
• Manipulating SGD with Data Ordering Attacks (2021) — 122 citations