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Bilmes, Jeff

  1. On Deep Multi-View Representation Learning: Objectives and Optimization
    2016/02/02 by Weiran Wang, Raman Arora, Wang, Weiran +5 · 18 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Video Analysis and Summarization
  2. On Mixup Training: Improved Calibration and Predictive Uncertainty for\n Deep Neural Networks
    2019/05/27 by Sunil Thulasidasan, Thulasidasan, Sunil, Gopinath Chennupati +7 · 17 citations
    Computer Science · #Machine Learning and Data Classification #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications
  3. Submodular Combinatorial Information Measures with Applications in Machine Learning
    2020/06/27 by Iyer, Rishabh, Khargonkar, Ninad, Bilmes, Jeff +1 · 13 citations
    #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  4. Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints
    2013/11/08 by Iyer, Rishabh, Bilmes, Jeff · 5 citations
    #Artificial Intelligence (cs.AI) #Data Structures and Algorithms (cs.DS) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences
  5. PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Subset Selection
    2021/02/27 by Suraj Kothawade, Kothawade, Suraj, Vishal Kaushal +7 · 8 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Text and Document Classification Technologies
  6. Submodularity In Machine Learning and Artificial Intelligence
    2022/01/31 by Jeff Bilmes, Bilmes, Jeff · 7 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Data Mining Algorithms and Applications #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Rough Sets and Fuzzy Logic
  7. An Effective Baseline for Robustness to Distributional Shift
    2021/05/15 by Thulasidasan, Sunil, Thapa, Sushil, Dhaubhadel, Sayera +3 · 5 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  8. Average-Case Active Learning with Costs
    2009/05/18 by Andrew Guillory, Jeff Bilmes, Guillory, Andrew +1 · 3 citations
    Computer Science · Decision Sciences · #Machine Learning and Algorithms #Optimization and Search Problems #Advanced Bandit Algorithms Research
  9. Fast Semidifferential-based Submodular Function Optimization
    2013/08/05 by Rishabh Iyer, Stefanie Jegelka, Iyer, Rishabh +3 · 5 citations
    Computer Science · #Complexity and Algorithms in Graphs #Computational Geometry and Mesh Generation #Machine Learning and Algorithms
  10. Submodular Mutual Information for Targeted Data Subset Selection
    2021/04/30 by Suraj Kothawade, Vishal Kaushal, Kothawade, Suraj +7 · 2 citations
    Computer Science · #Algorithms and Data Compression #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
  11. Interactive Submodular Set Cover
    2010/02/17 by Guillory, Andrew, Bilmes, Jeff · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  12. A Memoization Framework for Scaling Submodular Optimization to Large\n Scale Problems
    2019/02/26 by Rishabh Iyer, Iyer, Rishabh, Jeffrey A. Bilmes +2 · 2 citations
    Computer Science · #Complexity and Algorithms in Graphs #Advanced Graph Theory Research #Cryptography and Data Security
  13. Curvature and Optimal Algorithms for Learning and Minimizing Submodular\n Functions
    2013/11/08 by Rishabh Iyer, Iyer, Rishabh, Stefanie Jegelka +3 · 1 citation
    Computer Science · #Complexity and Algorithms in Graphs #Cryptography and Data Security #Data Structures and Algorithms (cs.DS) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
  14. Scaling Submodular Maximization via Pruned Submodularity Graphs
    2016/06/01 by Zhou, Tianyi, Ouyang, Hua, Chang, Yi +2 · 1 citation
    #Combinatorics (math.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  15. How Many Images Does It Take? Estimating Imitation Thresholds in Text-to-Image Models
    2024/10/19 by Sahil Verma, Verma, Sahil, Royi Rassin +15 · 2 citations
    Medicine · Neuroscience · #Computer Vision and Pattern Recognition (cs.CV) #Empathy and Medical Education #FOS: Computer and information sciences #Neurology and Historical Studies
  16. OMNIGUARD: An Efficient Approach for AI Safety Moderation Across Languages and Modalities
    2025/05/29 by Sahil Verma, Keegan Hines, Verma, Sahil +11 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning
  17. COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation
    2024/12/23 by Arnav Das, Das, Arnav M., Gantavya Bhatt +7 · 1 citation
    Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Geophysical Methods and Applications #Machine Learning (cs.LG) #Speech Recognition and Synthesis