Qi, Yingyong
- Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
2019/03/13 by Penghang Yin, Jiancheng Lyu, Yin, Penghang +9 · 52 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Machine Learning and ELM
- Trained Rank Pruning for Efficient Deep Neural Networks
2018/12/06 by Yuhui Xu, Xu, Yuhui, Yuxi Li +15 · 4 citations
Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications #Speech and Audio Processing #Video Analysis and Summarization
- Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks
2018/08/15 by Penghang Yin, Shuai Zhang, Yin, Penghang +9 · 6 citations
Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights
2018/01/19 by Penghang Yin, Shuai Zhang, Yin, Penghang +9 · 5 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Multimodal Machine Learning Applications #Optimization and Control (math.OC)
- DNQ: Dynamic Network Quantization
2018/12/06 by Xu, Yuhui, Zhang, Shuai, Qi, Yingyong +3 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- TRP: Trained Rank Pruning for Efficient Deep Neural Networks
2020/04/30 by Yuhui Xu, Yuxi Li, Xu, Yuhui +15 · 2 citations
Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics and Sensor-Based Localization #Sparse and Compressive Sensing Techniques
- COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization
2024/03/11 by Zhang, Aozhong, Yang, Zi, Wang, Naigang +4 · 3 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks
2019/01/24 by Jiancheng Lyu, Lyu, Jiancheng, Shuai Zhang +5 · 1 citation
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Improving Network Slimming with Nonconvex Regularization
2020/10/03 by Kevin Bui, Bui, Kevin, Fredrick Park +7 · 1 citation
Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Sparse and Compressive Sensing Techniques
- Trained Rank Pruning for Efficient Deep Neural Networks
2019/10/09 by Yuhui Xu, Xu, Yuhui, Yuxi Li +16 · 2 citations
Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Sparse and Compressive Sensing Techniques
- Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data
2023/02/10 by Zhijian Li, Yang Biao, Li, Zhijian +7 · 1 citation
Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Image Processing Techniques and Applications #Information Theory (cs.IT) #Machine Learning (cs.LG) #Numerical Analysis (math.NA)