Quanshi Zhang
- Interpretable Convolutional Neural Networks
2017/10/02 by Quanshi Zhang, Zhang, Quanshi, Ying Nian Wu +3 · 1 voice · 3 citations
#cs.CV
- RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL
2022/05/14 by Jiexing Qi, Jingyao Tang, Qi, Jiexing +14 · 8 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
- Visual Interpretability for Deep Learning: a Survey
2018/02/02 by Quanshi Zhang, Song‐Chun Zhu, Zhang, Quanshi +1 · 6 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications
- Explaining Knowledge Distillation by Quantifying the Knowledge
2020/03/07 by Xu Cheng, Cheng, Xu, Zhefan Rao +5 · 4 citations
Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation
2023/04/04 by Lu Chen, Chen, Lu, Siyu Lou +7 · 3 citations
Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning
2016/11/14 by Quanshi Zhang, Zhang, Quanshi, Ruiming Cao +5 · 1 citation
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- Defining and Quantifying the Emergence of Sparse Concepts in DNNs
2021/11/11 by Jie Ren, Mingjie Li, Ren, Jie +7 · 2 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Defects of Convolutional Decoder Networks in Frequency Representation
2022/10/17 by Lin Tang, Wen Shen, Tang, Ling +7 · 1 citation
Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
- Technical Note: Game-Theoretic Interactions of Different Orders
2020/10/28 by Hao Zhang, Zhang, Hao, Xu Cheng +5 · 1 citation
Computer Science · Economics, Econometrics and Finance · #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sports Analytics and Performance
- Does a Neural Network Really Encode Symbolic Concepts?
2023/02/25 by Mingjie Li, Quanshi Zhang, Li, Mingjie +1 · 1 citation
Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
- Can the Inference Logic of Large Language Models be Disentangled into Symbolic Concepts?
2023/04/03 by Wen Shen, Shen, Wen, Lei Cheng +7 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Natural Language Processing Techniques #Topic Modeling
- Interpreting and Disentangling Feature Components of Various Complexity from DNNs
2020/06/29 by Jie Ren, Ren, Jie, Mingjie Li +5 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning