Chenghao Jia
Artificial Intelligence · 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
- Artificial Intelligence — 26 citations into it
- Computer Vision and Pattern Recognition — 17 citations into it
Whom Chenghao Jia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Chenghao Jia's perspective
Ordered by how strongly the researchers Chenghao Jia trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Distilling the Knowledge in a Neural Network (arXiv.org)
- Layer Normalization
- Language Models are Unsupervised Multitask Learners
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Gradient-based learning applied to document recognition
Their papers
- Adversarial Self-Supervised Data Free Distillation for Text Classification (2020) — 27 citations