Xia Da

Model Architectures · 2013

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

• Model Architectures — 6 citations into it; #507 of 2,278 by trust here, #271 by citations

Whom Xia Da trusts overall

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

1. Xavier Glorot
2. Ian J. Goodfellow
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Nati Srebro

Who trusts Xia Da overall

1. Rahaf Aljundi
2. Benjamin Goodrich
3. Frederik Benzing
4. Seyed Iman Mirzadeh
5. Gido M. van de Ven
6. Mehrdad Farajtabar
7. Cuong V Nguyen
8. Tinne Tuytelaars
9. Alexander Rainer Tassilo Gepperth
10. Xu He

Papers from Xia Da's perspective

Ordered by how strongly the researchers Xia Da 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Improving neural networks by preventing co-adaptation of feature detectors
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Maxout Networks
10. Going deeper with convolutions

Their papers

• An Empirical Investigation of Catastrophic Forgeting in Gradient-Based Neural Networks (2013) — 1,666 citations