Jiefeng Peng
Computer Vision and Pattern Recognition · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 261 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 89 citations into it
- Artificial Intelligence — 81 citations into it
- Model Architectures — 29 citations into it
- Neural Architecture Search & AutoML — 25 citations into it
- Efficiency & Compression — 17 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
- Optimization & Training — 8 citations into it
Whom Jiefeng Peng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Ross B. Girshick
- Yoshua Bengio
- Quoc V. Le
- Karen Simonyan
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
Who trusts Jiefeng Peng overall
Papers from Jiefeng Peng's perspective
Ordered by how strongly the researchers Jiefeng Peng 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
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search (2021) — 124 citations
- Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation (2019) — 198 citations