M. Khriesh

Meta & Continual Learning · 2023

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

Subfields

• Meta & Continual Learning — 7 citations into it

Whom M. Khriesh trusts

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

1. Anthony V. Robins (in Meta & Continual Learning)

Papers from M. Khriesh's perspective

Ordered by how strongly the researchers M. Khriesh 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. Overcoming catastrophic forgetting in neural networks
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Continual Learning in Linear Classification on Separable Data (2023) — 33 citations