Jeffrey A. Bilmes
Professor; Lytle Lectureship Chair
Studies machine learning with submodular and discrete optimization, with applications to speech and language.
Jeffrey A. Bilmes's lab at UW works on learning theory & optimization and speech recognition & spoken language. 19 papers since 2023, 12 at top venues, mostly CVPR and TMLR. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 63%
- PhD students
- 0
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 1 · collecting
- 5 papers2025 · T1 5
- 7 papers2024 · T1 3
- 6 papers2023 · T1 3
T1 venuesOtherVenues: CVPR, TMLR, Bioinformatics, EMNLP, Findings of ACL
Research focuspaper titles that use each topic's words
- Learning theory & optimization4 papers
- Speech recognition & spoken language1 paper
- discrete0 papers
- studies machine0 papers
- speech0 papers
Paper list
From the lab homepage.
20261 paper
- ICLR (T1)Matched Data, Better Models: Target Aligned Data Filtering with Sparse Features
20255 papers
- CVPR (T1)COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation
- CVPR (T1)COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Learning
- TMLR (T1)How Many Images Does It Take? Estimating Imitation Thresholds in Text-to-Image Models
- EMNLP (T1)OMNIGUARD: An Efficient Approach for AI Safety Moderation Across Modalities
- ICML (T1)Tilted Sharpness-Aware Minimization
20247 papers
- NAACL (T1)An End-to-End Submodular Framework for Data-Efficient In-Context Learning
- Findings of ACLAn Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
- First Conference on Language ModelingBumbleBee: Dynamic KV-Cache Streaming Submodular Summarization for Infinite-Context Transformers
- Nature Communications (T1)ChromaFold predicts the 3D contact map from single-cell chromatin accessibility
- Neural Information Processing SocietyDeep Submodular Peripteral Networks
- UAI (T1)Efficient Interactive Maximization of BP and Weakly Submodular Objectives
- Journal of Data-centric Machine Learning ResearchLabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning
20236 papers
- TMLR (T1)Accelerating Batch Active Learning Using Continual Learning Techniques
- NeurIPS WorkshopEffective Backdoor Mitigation Depends on the Pre-training Objective
- Genome BiologyEpiphany: predicting Hi-C contact maps from 1D epigenomic signals
- ICRA (T1)High Resolution Point Clouds from mmWave Radar
- BioinformaticsMS1Connect: a mass spectrometry run similarity measure
- MobiCom (T1)RadarHD: Demonstrating Lidar-like Point Clouds from mmWave Radar
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UWFall 2027
UW Allen School Computer Science PhD
- Round
- Single round
- Opens
- GRE
- not required
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Your notes
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Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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