Michael Hersche

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 62 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 58 citations into it
• Computer Vision and Pattern Recognition — 45 citations into it
• Representation & Self-Supervised Learning — 17 citations into it

Whom Michael Hersche trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Yoshua Bengio
5. Diederik P. Kingma
6. Yann LeCun
7. Oriol Vinyals
8. Ilya Sutskever
9. Ruslan Salakhutdinov
10. Ross B. Girshick

Who trusts Michael Hersche overall

1. Keon-Hee Park
2. Do-Yeon Kim
3. Aristeidis Panos
4. Yibo Yang
5. Kyungwoo Song

Papers from Michael Hersche's perspective

Ordered by how strongly the researchers Michael Hersche trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Constrained Few-shot Class-incremental Learning (2022) — 204 citations
• A neuro-vector-symbolic architecture for solving Raven’s progressive matrices (2022) — 134 citations
• EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain–Machine Interfaces (2020) — 366 citations