Zhiyuan Zhang
Artificial Intelligence · with Sun · 2019–2021
A researcher in the Science corpus: 5 papers; trusts 179 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 116 citations into it
- Computer Vision and Pattern Recognition — 62 citations into it
- Natural Language Processing — 54 citations into it
- Model Architectures — 35 citations into it
- Optimization & Training — 31 citations into it
- Safety, Robustness & Interpretability — 16 citations into it
- Evaluation & Benchmarks — 10 citations into it
- Signal Processing — 10 citations into it
Whom Zhiyuan Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Alex Krizhevsky
- Ilya Sutskever
- Yann LeCun
- Jimmy Ba
- Richard Socher
- Christian Szegedy
Papers from Zhiyuan Zhang's perspective
Ordered by how strongly the researchers Zhiyuan Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption (2020) — 47 citations
- Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models (2021) — 181 citations
- Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning (2021) — 228 citations
- Rethinking Skip Connection with Layer Normalization (2020) — 85 citations
- Understanding and Improving Layer Normalization (2019) — 543 citations