Tze Meng Low

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Computational Mechanics — 9 citations into it
• Optimization & Training — 6 citations into it

Whom Tze Meng Low trusts overall

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

1. Rashish Tandon
2. Diederik P. Kingma
3. Sebastian Ruder

Papers from Tze Meng Low's perspective

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

1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
2. Learning representations by back-propagating errors
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Sparse Feature Learning for Deep Belief Networks
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• A Unified Coded Deep Neural Network Training Strategy based on Generalized PolyDot codes (2018) — 116 citations