Guilin Li
Computer Vision and Pattern Recognition · 2019–2020
A researcher in the Science corpus: 6 papers; trusts 244 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 95 citations into it; #21,216 of 21,575 by trust here, #10,154 by citations
- Artificial Intelligence — 90 citations into it; #34,846 of 35,345 by trust here, #13,760 by citations
- Model Architectures — 30 citations into it
- Efficiency & Compression — 29 citations into it
- Optimization & Training — 23 citations into it
- Information Systems — 14 citations into it
- Signal Processing — 6 citations into it
- Recommender Systems — 5 citations into it
Whom Guilin Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Quoc V. Le
- Yoshua Bengio
- Karen Simonyan
- Barret Zoph
- Ross B. Girshick
- Yann LeCun
- Diederik P. Kingma
Who trusts Guilin Li overall
Papers from Guilin Li's perspective
Ordered by how strongly the researchers Guilin Li 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)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Revisit Knowledge Distillation: a Teacher-free Framework (2019) — 98 citations
- Revisiting Knowledge Distillation via Label Smoothing Regularization (2020) — 652 citations
- StacNAS: Towards stable and consistent optimization for differentiable Neural Architecture Search (2019) — 27 citations
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction (2020) — 206 citations
- Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts (2020) — 36 citations
- StacNAS: Towards Stable and Consistent Differentiable Neural Architecture Search (2019) — 20 citations