Tamay Besiroglu

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 178 citations into it
• Computer Vision and Pattern Recognition — 94 citations into it

Whom Tamay Besiroglu trusts overall

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

1. Geoffrey E. Hinton
2. Dan Claudiu Ciresan
3. Yoshua Bengio
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Kaiming He
7. Yann LeCun

Papers from Tamay Besiroglu's perspective

Ordered by how strongly the researchers Tamay Besiroglu 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims (2020) — 480 citations
• Will we run out of data? Limits of LLM scaling based on human-generated data (2022) — 248 citations
• Compute Trends Across Three Eras of Machine Learning (2022) — 431 citations