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Lihi Zelnik‐Manor

  1. Asymmetric Loss For Multi-Label Classification
    2020/09/29 by Emanuel Ben-Baruch, Tal Ridnik, Ben-Baruch, Emanuel +11 · 54 citations
    Computer Science · #Advanced Neural Network Applications #Machine Learning and Data Classification #Text and Document Classification Technologies
  2. An Image is Worth 16x16 Words, What is a Video Worth?
    2021/03/25 by Gilad Sharir, Asaf Noy, Sharir, Gilad +3 · 5 citations
    Computer Science · #Human Pose and Action Recognition #Multimodal Machine Learning Applications #Advanced Neural Network Applications
  3. Dynamic-Net: Tuning the Objective Without Re-training for Synthesis\n Tasks
    2018/11/21 by Alon Shoshan, Roey Mechrez, Shoshan, Alon +3 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  4. Semantic Diversity Learning for Zero-Shot Multi-label Classification
    2021/05/12 by Avi Ben-Cohen, Ben-Cohen, Avi, Nadav Zamir +7 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Text and Document Classification Technologies
  5. Multi-label Classification with Partial Annotations using Class-aware Selective Loss
    2021/10/21 by Emanuel Ben-Baruch, Tal Ridnik, Ben-Baruch, Emanuel +11 · 1 citation
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning and Data Classification #Text and Document Classification Technologies #Water Systems and Optimization
  6. FreeAugment: Data Augmentation Search Across All Degrees of Freedom
    2024/09/07 by Tom Bekor, Bekor, Tom, Niv Nayman +3 · 2 citations
    Computer Science · Decision Sciences · #Advanced Database Systems and Queries #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Data Management and Algorithms #Data Quality and Management #FOS: Computer and information sciences #FOS: Mathematics #I.2 #I.4 #Machine Learning (cs.LG) #Optimization and Control (math.OC)