Ilia Shumailov

Artificial Intelligence · 2020–2025

A researcher in the Science corpus: 7 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 93 citations into it
• Safety, Robustness & Interpretability — 37 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Natural Language Processing — 23 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Ilia Shumailov trusts overall

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

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

Who trusts Ilia Shumailov overall

1. Hayden S. Helm
2. Max Vargas
3. Pratyush Maini

Papers from Ilia Shumailov's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
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

• The Curse of Recursion: Training on Generated Data Makes Models Forget (2023) — 507 citations
• Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context (2024) — 3,818 citations
• Sponge Examples: Energy-Latency Attacks on Neural Networks (2020) — 192 citations
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
• AI models collapse when trained on recursively generated data (2024) — 891 citations
• LLM Censorship: A Machine Learning Challenge or a Computer Security Problem? (2023) — 81 citations
• Manipulating SGD with Data Ordering Attacks (2021) — 122 citations