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Marc T. Law

  1. f-Domain-Adversarial Learning: Theory and Algorithms
    2021/06/21 by David Acuna, Acuna, David, Guojun Zhang +5 · 8 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning
  2. Graph Metanetworks for Processing Diverse Neural Architectures
    2023/12/07 by Derek Lim, Lim, Derek, Haggai Maron +7 · 10 citations
    Computer Science · Materials Science · #Neural Networks and Applications #Machine Learning in Materials Science
  3. How Much More Data Do I Need? Estimating Requirements for Downstream Tasks
    2022/07/04 by Rafid Mahmood, Mahmood, Rafid, James M. Lucas +14 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  4. Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting
    2023/02/09 by Viraj Prabhu, David Acuna, Prabhu, Viraj +13 · 3 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Video Surveillance and Tracking Methods
  5. Ultrahyperbolic Representation Learning
    2020/07/01 by Marc T. Law, Jos Stam, Law, Marc T. +1 · 1 citation
    Computer Science · Engineering · #3D Shape Modeling and Analysis #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  6. Domain Adversarial Training: A Game Perspective
    2022/02/10 by David Acuna, Acuna, David, Marc T. Law +5 · 1 citation
    Computer Science · #Computer Science and Game Theory (cs.GT) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM
  7. Neural Spacetimes for DAG Representation Learning
    2024/08/25 by Haitz Sáez de Ocáriz Borde, Borde, Haitz Sáez de Ocáriz, Anastasis Kratsios +7 · 1 citation
    Computer Science · #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Metric Geometry (math.MG) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
  8. Uncertainty Estimation for 3D Object Detection via Evidential Learning
    2024/10/31 by Nikita Durasov, Rafid Mahmood, Durasov, Nikita +11 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning and Data Classification