vix.ing · top · new · best · stats · spec

Juhan Bae

  1. Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models
    2024/11/19 by Laura Ruis, Ruis, Laura, Maximilian Mozes +18 · 24 voices · 10 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Semantic Web and Ontologies
  2. Kronfluence: Influence Functions with Eigenvalue-corrected Kronecker-Factored Approximate Curvature
    2023/08/07 by Roger Grosse, Juhan Bae, Grosse, Roger +31 · 3 voices · 71 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text Readability and Simplification
  3. Benchmarking Neural Network Training Algorithms
    2023/06/12 by George E. Dahl, Frank Schneider, Dahl, George E. +47 · 2 voices · 10 citations
    Computer Science · Mathematics · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques #cs.LG #stat.ML
  4. If Influence Functions are the Answer, Then What is the Question?
    2022/09/12 by Juhan Bae, Bae, Juhan, Nathan Ng +7 · 29 citations
    Computer Science · Materials Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Model Reduction and Neural Networks #Neural Networks and Applications
  5. What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions
    2024/05/22 by Sang Keun Choe, Choe, Sang Keun, Hwijeen Ahn +25 · 20 citations
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Big Data Technologies and Applications #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scientific Computing and Data Management
  6. Using Large Language Models for Hyperparameter Optimization
    2023/12/07 by Michael R. Zhang, Nishkrit Desai, Zhang, Michael R. +7 · 14 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Natural Language Processing Techniques #Topic Modeling
  7. Influence Functions for Scalable Data Attribution in Diffusion Models
    2024/10/17 by Bruno Mlodozeniec, Mlodozeniec, Bruno, Runa Eschenhagen +9 · 12 citations
    Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Opinion Dynamics and Social Influence
  8. Training Data Attribution via Approximate Unrolled Differentiation
    2024/05/20 by Juhan Bae, Wu Lin, Bae, Juhan +5 · 8 citations
    Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
  9. Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective
    2024/02/05 by Lin Wu, Felix Dangel, Lin, Wu +9 · 5 citations
    Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Iterative Methods for Nonlinear Equations #Machine Learning (cs.LG) #Numerical methods in inverse problems #Optimization and Control (math.OC)
  10. Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes
    2021/04/22 by James Lucas, Juhan Bae, Lucas, James +9 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
  11. Training Data Attribution (TDA): Examining Its Adoption & Use Cases
    2025/01/22 by Deric Cheng, Cheng, Deric, Juhan Bae +5 · 3 citations
    Decision Sciences · #Computers and Society (cs.CY) #Data Quality and Management #FOS: Computer and information sciences
  12. Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians
    2020/10/26 by Juhan Bae, Roger Grosse, Bae, Juhan +1 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms