Ioannis Kanellos
Artificial Intelligence · 2020
A researcher in the Science corpus: 2 papers; trusts 385 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 65 citations into it
- Computer Vision and Pattern Recognition — 59 citations into it
- Meta & Continual Learning — 40 citations into it
- Representation & Self-Supervised Learning — 18 citations into it
- Efficiency & Compression — 16 citations into it
- Radiology, Nuclear Medicine and Imaging — 13 citations into it
- Optimization & Training — 8 citations into it
- Evaluation & Benchmarks — 7 citations into it
Whom Ioannis Kanellos trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Eden Belouadah
- Yoshua Bengio
- Ross B. Girshick
- Yann LeCun
- Diederik P. Kingma
- Max Welling
- Ilya Sutskever
Papers from Ioannis Kanellos's perspective
Ordered by how strongly the researchers Ioannis Kanellos 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks (2020) — 259 citations
- Initial Classifier Weights Replay for Memoryless Class Incremental Learning (2020) — 24 citations