Eli Verwimp
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 33 citations into it
- Computer Vision and Pattern Recognition — 25 citations into it
- Meta & Continual Learning — 19 citations into it; #887 of 1,041 by trust here, #827 by citations
- Optimization & Training — 8 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
- Reinforcement Learning — 5 citations into it
Whom Eli Verwimp trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Arslan Chaudhry
- Kaiming He
- Yann LeCun
- Oriol Vinyals
- Yoshua Bengio
- Marc'Aurelio Ranzato
- L. Eon Bottou
- Diederik P. Kingma
Who trusts Eli Verwimp overall
- Marco Toldo
- Da-Wei Zhou
- Zhen Wang
- Yaqian Zhang
- Mete Ozay
- Liangzu Peng
- Qiwen Wang
- Liu Liu
- Bernhard Pfahringer
- Gobinda Saha
Papers from Eli Verwimp's perspective
Ordered by how strongly the researchers Eli Verwimp 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Rehearsal revealed: The limits and merits of revisiting samples in continual learning (2021) — 127 citations