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Zhang, Quanshi

  1. Interpretable Convolutional Neural Networks
    2017/10/02 by Quanshi Zhang, Zhang, Quanshi, Ying Nian Wu +3 · 1 voice · 3 citations
    #cs.CV
  2. 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
  3. Identifying Semantic Induction Heads to Understand In-Context Learning
    2024/02/20 by Jie Ren, Ren, Jie, Qipeng Guo +10 · 12 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and Algorithms #Topic Modeling
  4. Visual Interpretability for Deep Learning: a Survey
    2018/02/02 by Quanshi Zhang, Zhang, Quanshi, Song‐Chun Zhu +1 · 6 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications
  5. 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)
  6. Interpreting Representation Quality of DNNs for 3D Point Cloud Processing
    2021/11/05 by Shen, Wen, Ren, Qihan, Liu, Dongrui +1 · 4 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. Interpreting CNNs via Decision Trees
    2018/02/01 by Zhang, Quanshi, Yang, Yu, Ma, Haotian +1 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  8. 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)
  9. 3D-Rotation-Equivariant Quaternion Neural Networks
    2019/11/20 by Shen, Wen, Zhang, Binbin, Huang, Shikun +2 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Why Adversarial Training of ReLU Networks Is Difficult?
    2022/05/30 by Cheng, Xu, Zhang, Hao, Xin, Yue +3 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  11. Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification
    2022/08/18 by Zhang, Quanshi, Cheng, Xu, Chen, Yilan +1 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  12. Proving Common Mechanisms Shared by Twelve Methods of Boosting Adversarial Transferability
    2022/07/24 by Zhang, Quanshi, Wang, Xin, Ren, Jie +4 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  13. A Unified Game-Theoretic Interpretation of Adversarial Robustness
    2021/11/05 by Ren, Jie, Zhang, Die, Wang, Yisen +8 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning
    2016/11/14 by Quanshi Zhang, Ruiming Cao, Zhang, Quanshi +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
  15. Interpreting CNN Knowledge via an Explanatory Graph
    2017/08/05 by Zhang, Quanshi, Cao, Ruiming, Shi, Feng +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  16. Examining CNN Representations with respect to Dataset Bias
    2017/10/29 by Zhang, Quanshi, Wang, Wenguan, Zhu, Song-Chun · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  17. Defining and Quantifying the Emergence of Sparse Concepts in DNNs
    2021/11/11 by Jie Ren, Ren, Jie, Mingjie Li +7 · 2 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning and Algorithms #Machine Learning and Data Classification
  18. Interpretable Compositional Convolutional Neural Networks
    2021/07/09 by Shen, Wen, Wei, Zhihua, Huang, Shikun +4 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  19. Interpreting and Boosting Dropout from a Game-Theoretic View
    2020/09/24 by Zhang, Hao, Li, Sen, Ma, Yinchao +3 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  20. A Unified Approach to Interpreting and Boosting Adversarial Transferability
    2020/10/08 by Wang, Xin, Ren, Jie, Lin, Shuyun +3 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  21. 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
  22. Technical Note: Game-Theoretic Interactions of Different Orders
    2020/10/28 by Hao Zhang, Xu Cheng, Zhang, Hao +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
  23. Interpreting Attributions and Interactions of Adversarial Attacks
    2021/08/16 by Wang, Xin, Lin, Shuyun, Zhang, Hao +2 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  24. Explaining Generalization Power of a DNN Using Interactive Concepts
    2023/02/25 by Zhou, Huilin, Zhang, Hao, Deng, Huiqi +4 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  25. 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
  26. Can the Inference Logic of Large Language Models be Disentangled into Symbolic Concepts?
    2023/04/03 by Wen Shen, Lei Cheng, Shen, Wen +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
  27. Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs
    2022/05/04 by Ren, Jie, Li, Mingjie, Zhou, Meng +2 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  28. 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