Mete Ozay
Artificial Intelligence · with Toldo · 2022
A researcher in the Science corpus: 1 paper; trusts 280 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it; #20,948 of 35,345 by trust here, #33,294 by citations
- Computer Vision and Pattern Recognition — 27 citations into it; #13,030 of 21,575 by trust here, #20,756 by citations
- Meta & Continual Learning — 21 citations into it; #665 of 1,041 by trust here, #1,021 by citations
- Representation & Self-Supervised Learning — 15 citations into it; #2,119 of 3,145 by trust here, #3,089 by citations
- Radiology, Nuclear Medicine and Imaging — 6 citations into it
Whom Mete Ozay trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Ross B. Girshick
- Ilya Sutskever
- Matthias De Lange
- X. Zhang
Who trusts Mete Ozay overall
Papers from Mete Ozay's perspective
Ordered by how strongly the researchers Mete Ozay trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Bring Evanescent Representations to Life in Lifelong Class Incremental Learning (2022) — 51 citations