Peter Triantafillou

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 50 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Privacy & Security — 6 citations into it

Whom Peter Triantafillou trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Aditya Golatkar
5. Cynthia Dwork
6. Individualized Treat
7. Yoshua Bengio
8. Ross B. Girshick
9. Yann LeCun
10. Diederik P. Kingma

Papers from Peter Triantafillou's perspective

Ordered by how strongly the researchers Peter Triantafillou 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. Learning Multiple Layers of Features from Tiny Images
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Towards Unbounded Machine Unlearning (2023) — 324 citations