Juntao Li
Artificial Intelligence · 2021–2023
A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 74 citations into it
- Computer Vision and Pattern Recognition — 36 citations into it
- Natural Language Processing — 30 citations into it
- Evaluation & Benchmarks — 11 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
Whom Juntao Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Kaiming He
- Yann LeCun
- Jimmy Ba
- Chin-Yew Lin
- Alex Graves
Papers from Juntao Li's perspective
Ordered by how strongly the researchers Juntao Li trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- R-Drop: Regularized Dropout for Neural Networks (2021) — 568 citations
- Harnessing the Power of David against Goliath: Exploring Instruction Data Generation without Using Closed-Source Models (2023) — 8 citations