Magdalena Klapper-Rybicka

Model Architectures · 2001

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Model Architectures — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Magdalena Klapper-Rybicka trusts overall

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

1. J. Urgen Schmidhuber
2. Felix Alexander Gers
3. Paul J. Werbos
4. Sepp Hochreiter
5. Yoshua Bengio
6. N. Schraudolph
7. Geoffrey E. Hinton
8. Terrence J. Sejnowski
9. Patrice Y. Simard
10. David J. Field

Who trusts Magdalena Klapper-Rybicka overall

1. Aditya Rawal
2. Scott Niekum
3. Muhammad Usama
4. Risto Miikkulainen
5. Aloysius Ka-Lau Mok

Papers from Magdalena Klapper-Rybicka's perspective

Ordered by how strongly the researchers Magdalena Klapper-Rybicka trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Unsupervised Learning in LSTM Recurrent Neural Networks (2001) — 30 citations