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Jeff Bilmes

50 papers · 2005–2025 · 12 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (12) 🌈 Renaissance Researcher (6) 🐝 Cross-Pollinator (7) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (20) πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (11) πŸ’Ž Century Club (50) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (18) πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (114)

Conferences

ICML (16) NAACL (8) ACL (6) AISTATS (5) ICLR (4) EMNLP (3) AAAI (2) IJCNLP (2) ALT (1) CVPR (1) JMLR (1) UAI (1)

Top co-authors

Tianyi Zhou (11) Shengjie Wang (8) Rishabh Iyer (8) Kai Wei (4) Wenruo Bai (3) Lilly Kumari (3) Tian Li (3) Hui Lin (3) Ganesh Ramakrishnan (3) Amarnag Subramanya (3)

Keywords

submodular optimization (8) submodular function (5) deep neural network (5) submodular maximization (4) combinatorial optimization (3) approximation algorithm (3) data subset selection (3) semi-supervised learning (3) representation learning (3) active learning (3) greedy algorithm (3) feature selection (2) large language model (2) data selection (2) stochastic gradient descent (2) hidden markov model (2) mutual information (2) canonical correlation analysis (2) multi-view learning (2) neural network (2)

Papers

MULTIGUARD: An Efficient Approach for AI Safety Moderation Across Languages and Modalities EMNLP 2025
Tilted Sharpness-Aware Minimization ICML 2025
Many-Objective Multi-Solution Transport ICLR 2025
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation CVPR 2025
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
An End-to-End Submodular Framework for Data-Efficient In-Context Learning NAACL 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
Submodular Span, with Applications to Conditional Data Summarization AAAI 2021
Curriculum Learning by Optimizing Learning Dynamics AISTATS 2021
Submodular combinatorial information measures with applications in machine learning ALT 2021
Robust Curriculum Learning: from clean label detection to noisy label self-correction ICLR 2021
Coresets for Data-efficient Training of Machine Learning Models ICML 2020
Time-Consistent Self-Supervision for Semi-Supervised Learning ICML 2020
Jumpout : Improved Dropout for Deep Neural Networks with ReLUs ICML 2019
Combating Label Noise in Deep Learning using Abstention ICML 2019
Bias Also Matters: Bias Attribution for Deep Neural Network Explanation ICML 2019
Fixing Mini-batch Sequences with Hierarchical Robust Partitioning AISTATS 2019
Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity ICLR 2018
Constrained Interacting Submodular Groupings ICML 2018
Greed is Still Good: Maximizing Monotone Submodular+Supermodular (BP) Functions ICML 2018
Scaling Submodular Maximization via Pruned Submodularity Graphs AISTATS 2017
Analysis of Deep Neural Networks with Extended Data Jacobian Matrix ICML 2016
Algorithms for Optimizing the Ratio of Submodular Functions ICML 2016
On Deep Multi-View Representation Learning ICML 2015
Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures ACL 2015
Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures IJCNLP 2015
Submodularity in Data Subset Selection and Active Learning ICML 2015
Entropic Graph-based Posterior Regularization ICML 2015
Fast Multi-stage Submodular Maximization ICML 2014
Submodularity for Data Selection in Machine Translation EMNLP 2014
Using Document Summarization Techniques for Speech Data Subset Selection NAACL 2013
Fast Semidifferential-based Submodular Function Optimization ICML 2013
Deep Canonical Correlation Analysis ICML 2013
On Bisubmodular Maximization AISTATS 2012
Memory-efficient inference in dynamic graphical models using multiple cores AISTATS 2012
A Class of Submodular Functions for Document Summarization ACL 2011
Word Alignment via Submodular Maximization over Matroids ACL 2011
Semi-Supervised Learning with Measure Propagation JMLR 2011
Multi-document Summarization via Budgeted Maximization of Submodular Functions NAACL 2010
Compiling a Massive, Multilingual Dictionary via Probabilistic Inference ACL 2009
Compiling a Massive, Multilingual Dictionary via Probabilistic Inference IJCNLP 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
A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification ACL 2005