Jeff Bilmes

COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation CVPR 2025 Many-Objective Multi-Solution Transport ICLR 2025 MULTIGUARD: An Efficient Approach for AI Safety Moderation Across Languages and Modalities EMNLP 2025 Tilted Sharpness-Aware Minimization ICML 2025 An End-to-End Submodular Framework for Data-Efficient In-Context Learning NAACL 2024 An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models ACL 2024 Efficient Interactive Maximization of BP and Weakly Submodular Objectives UAI 2024 Diverse Client Selection for Federated Learning via Submodular Maximization ICLR 2022 PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection AAAI 2022 Curriculum Learning by Optimizing Learning Dynamics AISTATS 2021 Robust Curriculum Learning: from clean label detection to noisy label self-correction ICLR 2021 Submodular combinatorial information measures with applications in machine learning ALT 2021 Submodular Span, with Applications to Conditional Data Summarization AAAI 2021 Coresets for Data-efficient Training of Machine Learning Models ICML 2020 Time-Consistent Self-Supervision for Semi-Supervised Learning ICML 2020 Bias Also Matters: Bias Attribution for Deep Neural Network Explanation ICML 2019 Combating Label Noise in Deep Learning using Abstention ICML 2019 Fixing Mini-batch Sequences with Hierarchical Robust Partitioning AISTATS 2019 Jumpout : Improved Dropout for Deep Neural Networks with ReLUs ICML 2019 Constrained Interacting Submodular Groupings ICML 2018 Greed is Still Good: Maximizing Monotone Submodular+Supermodular (BP) Functions ICML 2018 Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity ICLR 2018 Scaling Submodular Maximization via Pruned Submodularity Graphs AISTATS 2017 Algorithms for Optimizing the Ratio of Submodular Functions ICML 2016 Analysis of Deep Neural Networks with Extended Data Jacobian Matrix ICML 2016 Entropic Graph-based Posterior Regularization ICML 2015 On Deep Multi-View Representation Learning ICML 2015 Submodularity in Data Subset Selection and Active Learning ICML 2015 Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures ACL 2015 Fast Multi-stage Submodular Maximization ICML 2014 Submodularity for Data Selection in Machine Translation EMNLP 2014 Deep Canonical Correlation Analysis ICML 2013 Fast Semidifferential-based Submodular Function Optimization ICML 2013 Using Document Summarization Techniques for Speech Data Subset Selection NAACL 2013 Memory-efficient inference in dynamic graphical models using multiple cores AISTATS 2012 On Bisubmodular Maximization AISTATS 2012 A Class of Submodular Functions for Document Summarization ACL 2011 Semi-Supervised Learning with Measure Propagation JMLR 2011 Word Alignment via Submodular Maximization over Matroids ACL 2011 Multi-document Summarization via Budgeted Maximization of Submodular Functions NAACL 2010 Compiling a Massive, Multilingual Dictionary via Probabilistic Inference ACL 2009 Soft-Supervised Learning for Text Classification EMNLP 2008 Generalized Graphical Abstractions for Statistical Machine Translation NAACL 2007 Virtual Evidence for Training Speech Recognizers Using Partially Labeled Data NAACL 2007 Backoff Model Training using Partially Observed Data: Application to Dialog Act Tagging NAACL 2006 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers NAACL 2006 Proceedings of the Human Language Technology Conference of the NAACL, Main Conference NAACL 2006 Active Learning as Non-Convex Optimization AISTATS 2005 A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification ACL 2005 A Bayesian Divergence Prior for Classiffier Adaptation AISTATS 1999