John E. Hopcroft

1. An n^5/2 Algorithm for Maximum Matchings in Bipartite Graphs
   1973/12/01 by John E. Hopcroft, Richard M. Karp · 63 citations
   Computer Science · Biochemistry, Genetics and Molecular Biology · Engineering · #Advanced Graph Theory Research #DNA and Biological Computing #graph theory and CDMA systems
2. Snapshot Ensembles: Train 1, get M for free
   2017/04/01 by Gao Huang, Yixuan Li, Huang, Gao +9 · 1 voice · 28 citations
   Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification #cs.LG
3. Efficient Planarity Testing
   1974/10/01 by John E. Hopcroft, John Hopcroft, Robert E. Tarjan +1 · 15 citations
   Computer Science · #Computational Geometry and Mesh Generation #Digital Image Processing Techniques #Graph Theory and Algorithms
4. Towards Understanding Learning Representations: To What Extent Do\n Different Neural Networks Learn the Same Representation
   2018/10/27 by Liwei Wang, Lunjia Hu, Wang, Liwei +11 · 8 citations
   Computer Science · #Neural Networks and Applications #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification
5. Single Image Reflection Removal through Cascaded Refinement
   2019/11/15 by Chao Li, Yixiao Yang, Li, Chao +7 · 5 citations
   Computer Science · Engineering · #Advanced Image Fusion Techniques #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Enhancement Techniques
6. Improving the Generalization of Adversarial Training with Domain Adaptation
   2018/10/01 by Chuanbiao Song, Song, Chuanbiao, Kun He +5 · 5 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #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)
7. Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
   2021/11/21 by Yifeng Xiong, Jiadong Lin, Xiong, Yifeng +7 · 4 citations
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. Hidden Community Detection in Social Networks
   2017/02/24 by Kun He, He, Kun, Yingru Li +5 · 2 citations
   Computer Science · Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (stat.ML) #Network Security and Intrusion Detection #Opinion Dynamics and Social Influence #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
9. Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers
   2024/06/27 by Jinsong Chen, Chen, Jinsong, Hanpeng Liu +5 · 2 citations
   Computer Science · Engineering · Neuroscience · #Advanced Graph Neural Networks #Ferroelectric and Negative Capacitance Devices #Brain Tumor Detection and Classification
10. Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
    2022/05/27 by Binghui Li, Li, Binghui, Jikai Jin +7 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
11. On the Complexity of Bayesian Generalization
    2022/11/20 by Yu-Zhe Shi, Shi, Yu-Zhe, Manjie Xu +15 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Multimodal Machine Learning Applications