Simon McCallum

Model Architectures · with Robins · 1998–1999

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Model Architectures — 17 citations into it
• Neuroscience — 5 citations into it

Whom Simon McCallum trusts overall

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

1. Anthony V. Robins
2. R. M. French
3. Geoffrey E. Hinton
4. J. Murre
5. J. van Hemmen
6. John J. Hopfield
7. David E. Rumelhart
8. Ken McRae
9. T. Bliss
10. Marcus Frean

Who trusts Simon McCallum overall

1. Anthony V. Robins
2. Tyler L. Hayes
3. Bernard Ans
4. Andreas Knoblauch
5. Xu Zhang
6. Nicolas Dumay

Papers from Simon McCallum's perspective

Ordered by how strongly the researchers Simon McCallum 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. Learning internal representations by error propagation
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Attention is All you Need (Neural Information Processing Systems)
10. Neural networks and physical systems with emergent collective computational abilities.

Their papers

• The consolidation of learning during sleep: comparing the pseudorehearsal and unlearning accounts (1999)
• Catastrophic Forgetting and the Pseudorehearsal Solution in Hopfield-type Networks (1998)