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Shi, Javen Qinfeng

  1. A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations
    2023/08/13 by Hongrong Cheng, Cheng, Hongrong, Miao Zhang +3 · 48 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning
  2. Active Learning by Feature Mixing
    2022/03/14 by Amin Parvaneh, Parvaneh, Amin, Ehsan Abbasnejad +9 · 3 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning and Algorithms #Machine Learning and Data Classification #Oil and Gas Production Techniques
  3. Stock Market Prediction via Deep Learning Techniques: A Survey
    2022/12/24 by Jinan Zou, Qingying Zhao, Zou, Jinan +15 · 3 citations
    Computer Science · Decision Sciences · #Data Stream Mining Techniques #FOS: Economics and business #General Finance (q-fin.GN) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
  4. Implicit Sample Extension for Unsupervised Person Re-Identification
    2022/04/14 by Xinyu Zhang, Zhang, Xinyu, Dongdong Li +13 · 2 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Gait Recognition and Analysis #IoT and GPS-based Vehicle Safety Systems #Video Surveillance and Tracking Methods
  5. Augmented Commonsense Knowledge for Remote Object Grounding
    2024/06/03 by Mohammadi, Bahram, Hong, Yicong, Qi, Yuankai +3 · 3 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  6. Truncated Matrix Power Iteration for Differentiable DAG Learning
    2022/08/30 by Zhen Zhang, Zhang, Zhen, Ignavier Ng +13 · 2 citations
    Chemistry · Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Molecular spectroscopy and chirality #Remote-Sensing Image Classification
  7. CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts
    2023/11/28 by Yichao Cai, Cai, Yichao, Yuhang Liu +5 · 3 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Cancer-related molecular mechanisms research
  8. MINI-LLM: Memory-Efficient Structured Pruning for Large Language Models
    2024/07/16 by Cheng, Hongrong, Zhang, Miao, Shi, Javen Qinfeng · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  9. Influence Function Based Second-Order Channel Pruning-Evaluating True Loss Changes For Pruning Is Possible Without Retraining
    2023/08/13 by Cheng, Hongrong, Zhang, Miao, Shi, Javen Qinfeng · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  10. Identifiable Latent Polynomial Causal Models Through the Lens of Change
    2023/10/24 by Yuhang Liu, Liu, Yuhang, Zhen Zhang +13 · 2 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Advanced Graph Neural Networks #Explainable Artificial Intelligence (XAI)
  11. A Simple-but-effective Baseline for Training-free Class-Agnostic Counting
    2024/03/03 by Yuhao Lin, Haiming Xu, Lin, Yuhao +5 · 1 citation
    Computer Science · #Machine Learning and Algorithms
  12. I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?
    2025/03/12 by Yuhang Liu, Liu, Yuhang, Dong Gong +15 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  13. Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning
    2022/02/21 by Gong, Dong, Yan, Qingsen, Liu, Yuhang +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. On the Value of Cross-Modal Misalignment in Multimodal Representation Learning
    2025/04/14 by Yichao Cai, Cai, Yichao, Yuhang Liu +11 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling