Shizhe Diao
Artificial Intelligence · with Zhang · 2022–2023
A researcher in the Science corpus: 4 papers; trusts 28 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 131 citations into it; #34,661 of 35,345 by trust here, #12,974 by citations
- Natural Language Processing — 50 citations into it
- Optimization & Training — 7 citations into it
- Statistical and Nonlinear Physics — 6 citations into it
Whom Shizhe Diao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Alex Krizhevsky
- Ilya Sutskever
- Kaiming He
- Yann LeCun
- Richard Socher
- Alex Graves
- J. Urgen Schmidhuber
Who trusts Shizhe Diao overall
Papers from Shizhe Diao's perspective
Ordered by how strongly the researchers Shizhe Diao trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- 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
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment (2023) — 752 citations
- Black-box Prompt Learning for Pre-trained Language Models (2022) — 90 citations
- LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models (2023) — 82 citations
- VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training (2022) — 17 citations