Chufan Wu

Efficiency & Compression · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Efficiency & Compression — 23 citations into it

Whom Chufan Wu trusts overall

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

1. Song Han
2. Geoffrey E. Hinton
3. Jonathan Frankle
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Yoshua Bengio

Papers from Chufan Wu's perspective

Ordered by how strongly the researchers Chufan Wu 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. Distilling the Knowledge in a Neural Network (arXiv.org)
4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression (2020) — 81 citations