Yang Wang
Efficiency & Compression · with Zhang · 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 Yang Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yang Wang's perspective
Ordered by how strongly the researchers Yang Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Distilling the Knowledge in a Neural Network (arXiv.org)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding
Their papers
- LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression (2020) — 81 citations