- Supervised Learning Has a Necessary Geometric Blind Spot: Theory, Consequences, and Minimal Repair
2026/04/23 by Vishal Rajput · 1 voice
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Adversarial system #Bounded function #Empirical risk minimization #Explainable Artificial Intelligence (XAI) #Jacobian matrix and determinant #Metric (unit) #Monotonic function #Spurious relationship #Supervised learning #cs.AI #cs.CV #cs.LG
- LLMs can construct powerful representations and streamline sample-efficient supervised learning
2026/03/12 by Ilker Demirel, İlker Demirel, Lawrence Shi +3 · 1 voice
Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Construct (python library) #Downstream (manufacturing) #Feature learning #Labeled data #Machine Learning in Healthcare #Pipeline (software) #Representation (politics) #Rubric #Supervised learning #Topic Modeling #cs.AI
- Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
2023/01/19 by Mahmoud Assran, Assran, Mahmoud, Quentin Duval +14 · 8 voices · 272 citations
Computer Science · Mathematics · #Advanced Neural Network Applications #Architecture #Artificial intelligence #Artificial neural network #Block (permutation group theory) #Computer science #Context (archaeology) #Domain Adaptation and Few-Shot Learning #Embedding #Feature learning #Human Pose and Action Recognition #Joint (building) #Machine learning #Mathematics #Pattern recognition (psychology) #Scalability #Supervised learning #Transformer
- DetMatch: Two Teachers are Better Than One for Joint 2D and 3D Semi-Supervised Object Detection
2022/03/17 by Jinhyung Park, Chenfeng Xu, Park, Jinhyung +7 · 4 citations
Computer Science · Engineering · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Artificial intelligence #Artificial neural network #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection #Leverage (statistics) #Machine Learning (cs.LG) #Machine learning #Modalities #Pattern recognition (psychology) #Pipeline (software) #Point cloud #RGB color model #Robotics (cs.RO) #Robotics and Sensor-Based Localization #Set (abstract data type) #Supervised learning #cs.AI #cs.CV #cs.LG #cs.RO
- A critique of pure learning and what artificial neural networks can learn from animal brains
2019/08/21 by Anthony M. Zador · 1 citation
Computer Science · Biochemistry, Genetics and Molecular Biology · #Neural Networks and Applications #Zebrafish Biomedical Research Applications #Domain Adaptation and Few-Shot Learning #Bottleneck #Artificial intelligence #Artificial neural network #Computer science #Unsupervised learning #Competitive learning #Machine learning #Genome #Deep learning #Supervised learning #Animal behavior #Biology #Genetics
- Improved Techniques for Training GANs
2016/06/10 by Tim Salimans, Ian Goodfellow, Salimans, Tim +9 · 1 voice · 758 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial intelligence #Artificial neural network #Cell Image Analysis Techniques #Computer science #Deep learning #Digital Media Forensic Detection #Focus (optics) #Generative Adversarial Networks and Image Synthesis #Generative grammar #Generative model #Image (mathematics) #MNIST database #Machine learning #Pattern recognition (psychology) #Supervised learning #Turing test #Variety (cybernetics) #cs.CV #cs.LG #cs.NE