| 2025 | CVPR | COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation. | Arnav M. Das, Gantavya Bhatt, Lilly Kumari, Sahil Verma, Jeff A. Bilmes |
| 2025 | EMNLP | MULTIGUARD: An Efficient Approach for AI Safety Moderation Across Languages and Modalities. | Sahil Verma, Keegan Hines, Jeff A. Bilmes, Charlotte Siska, Luke Zettlemoyer, Hila Gonen, Chandan Singh |
| 2025 | ICLR | Many-Objective Multi-Solution Transport. | Ziyue Li, Tian Li, Virginia Smith, Jeff A. Bilmes, Tianyi Zhou |
| 2025 | ICML | Tilted Sharpness-Aware Minimization. | Tian Li, Tianyi Zhou, Jeff A. Bilmes |
| 2024 | ACL | An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. | Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon S. Du, Kevin Jamieson, Jordan T. Ash, Robert D. Nowak |
| 2024 | NAACL | An End-to-End Submodular Framework for Data-Efficient In-Context Learning. | Lilly Kumari, Shengjie Wang, Arnav Das, Tianyi Zhou, Jeff A. Bilmes |
| 2024 | UAI | Efficient Interactive Maximization of BP and Weakly Submodular Objectives. | Adhyyan Narang, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel, Jeff A. Bilmes |
| 2023 | ICRA | High Resolution Point Clouds from mmWave Radar. | Akarsh Prabhakara, Tao Jin, Arnav Das, Gantavya Bhatt, Lilly Kumari, Elahe Soltanaghai, Jeff A. Bilmes, Swarun Kumar, Anthony Rowe |
| 2023 | MOBICOM | RadarHD: Demonstrating Lidar-like Point Clouds from mmWave Radar. | Akarsh Prabhakara, Tao Jin, Arnav Das, Gantavya Bhatt, Lilly Kumari, Elahe Soltanaghai, Jeff A. Bilmes, Swarun Kumar, Anthony Rowe |
| 2022 | AAAI | PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection. | Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer |
| 2022 | ICLR | Diverse Client Selection for Federated Learning via Submodular Maximization. | Ravikumar Balakrishnan, Tian Li, Tianyi Zhou, Nageen Himayat, Virginia Smith, Jeff A. Bilmes |
| 2021 | AAAI | Submodular Span, with Applications to Conditional Data Summarization. | Lilly Kumari, Jeff A. Bilmes |
| 2021 | AISTATS | Curriculum Learning by Optimizing Learning Dynamics. | Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes |
| 2021 | ALT | Submodular combinatorial information measures with applications in machine learning. | Rishabh K. Iyer, Ninad Khargoankar, Jeff A. Bilmes, Himanshu Asanani |
| 2021 | ICLR | Robust Curriculum Learning: from clean label detection to noisy label self-correction. | Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes |
| 2021 | ICMLA | An Effective Baseline for Robustness to Distributional Shift. | Sunil Thulasidasan, Sushil Thapa, Sayera Dhaubhadel, Gopinath Chennupati, Tanmoy Bhattacharya, Jeff A. Bilmes |
| 2021 | ISIT | Independence Properties of Generalized Submodular Information Measures. | Himanshu Asnani, Jeff A. Bilmes, Rishabh K. Iyer |
| 2021 | SDM | A Practical Online Framework for Extracting Running Video Summaries under a Fixed Memory Budget. | Chandrashekhar Lavania, Kai Wei, Rishabh K. Iyer, Jeff A. Bilmes |
| 2020 | ICML | Coresets for Data-efficient Training of Machine Learning Models. | Baharan Mirzasoleiman, Jeff A. Bilmes, Jure Leskovec |
| 2020 | ICML | Time-Consistent Self-Supervision for Semi-Supervised Learning. | Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes |
| 2020 | ISIT | Concave Aspects of Submodular Functions. | Rishabh K. Iyer, Jeff A. Bilmes |
| 2019 | AISTATS | Fixing Mini-batch Sequences with Hierarchical Robust Partitioning. | Shengjie Wang, Wenruo Bai, Chandrashekhar Lavania, Jeff A. Bilmes |
| 2019 | ICML | Combating Label Noise in Deep Learning using Abstention. | Sunil Thulasidasan, Tanmoy Bhattacharya, Jeff A. Bilmes, Gopinath Chennupati, Jamal Mohd-Yusof |
| 2019 | ICML | Bias Also Matters: Bias Attribution for Deep Neural Network Explanation. | Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes |
| 2019 | ICML | Jumpout : Improved Dropout for Deep Neural Networks with ReLUs. | Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes |
| 2019 | SDM | Auto-Summarization: A Step Towards Unsupervised Learning of a Submodular Mixture. | Chandrashekhar Lavania, Jeff A. Bilmes |
| 2018 | ICLR | Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity. | Tianyi Zhou, Jeff A. Bilmes |
| 2018 | ICML | Constrained Interacting Submodular Groupings. | Andrew Cotter, Mahdi Milani Fard, Seungil You, Maya R. Gupta, Jeff A. Bilmes |
| 2017 | AISTATS | Scaling Submodular Maximization via Pruned Submodularity Graphs. | Tianyi Zhou, Hua Ouyang, Jeff A. Bilmes, Yi Chang, Carlos Guestrin |
| 2017 | ICASSP | Reducing total latency in online real-time inference and decoding via combined context window and model smoothing latencies. | Chandrashekhar Lavania, Jeff A. Bilmes |
| 2017 | ICLR | Training Compressed Fully-Connected Networks with a Density-Diversity Penalty. | Shengjie Wang, Haoran Cai, Jeff A. Bilmes, William S. Noble |
| 2016 | FUSION | Constrained robust submodular sensor selection with applications to multistatic sonar arrays. | Thomas Powers, Jeff A. Bilmes, David W. Krout, Les E. Atlas |
| 2016 | ICML | Algorithms for Optimizing the Ratio of Submodular Functions. | Wenruo Bai, Rishabh K. Iyer, Kai Wei, Jeff A. Bilmes |
| 2016 | ICML | Analysis of Deep Neural Networks with Extended Data Jacobian Matrix. | Shengjie Wang, Abdel-rahman Mohamed, Rich Caruana, Jeff A. Bilmes, Matthai Philipose, Matthew Richardson, Krzysztof J. Geras, Gregor Urban, zlem Aslan |
| 2015 | ACL | Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures. | Ramakrishna Bairi, Rishabh K. Iyer, Ganesh Ramakrishnan, Jeff A. Bilmes |
| 2015 | AISTATS | Submodular Point Processes with Applications to Machine learning. | Rishabh K. Iyer, Jeff A. Bilmes |
| 2015 | AISTATS | On Approximate Non-submodular Minimization via Tree-Structured Supermodularity. | Yoshinobu Kawahara, Rishabh K. Iyer, Jeff A. Bilmes |
| 2015 | ICASSP | Unsupervised learning of acoustic features via deep canonical correlation analysis. | Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes |
| 2015 | ICML | Entropic Graph-based Posterior Regularization. | Maxwell W. Libbrecht, Michael M. Hoffman, Jeff A. Bilmes, William Stafford Noble |
| 2015 | ICML | On Deep Multi-View Representation Learning. | Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes |
| 2015 | ICML | Submodularity in Data Subset Selection and Active Learning. | Kai Wei, Rishabh K. Iyer, Jeff A. Bilmes |
| 2015 | Interspeech | SVitchboard II and fiSVer i: high-quality limited-complexity corpora of conversational English speech. | Yuzong Liu, Rishabh K. Iyer, Katrin Kirchhoff, Jeff A. Bilmes |
| 2014 | EMNLP | Submodularity for Data Selection in Machine Translation. | Katrin Kirchhoff, Jeff A. Bilmes |
| 2014 | ICASSP | Unsupervised submodular subset selection for speech data. | Kai Wei, Yuzong Liu, Katrin Kirchhoff, Jeff A. Bilmes |
| 2014 | ICASSP | Submodular subset selection for large-scale speech training data. | Kai Wei, Yuzong Liu, Katrin Kirchhoff, Chris D. Bartels, Jeff A. Bilmes |
| 2014 | ICML | Fast Multi-stage Submodular Maximization. | Kai Wei, Rishabh K. Iyer, Jeff A. Bilmes |
| 2014 | ICS | Author retrospective for optimizing matrix multiply using PHiPAC: a portable high-performance ANSI C coding methodology. | Jeff A. Bilmes, Krste Asanovic, Chee-Whye Chin, Jim Demmel |
| 2014 | UAI | Learning Peptide-Spectrum Alignment Models for Tandem Mass Spectrometry. | John T. Halloran, Jeff A. Bilmes, William Stafford Noble |
| 2014 | UAI | Monotone Closure of Relaxed Constraints in Submodular Optimization: Connections Between Minimization and Maximization. | Rishabh K. Iyer, Stefanie Jegelka, Jeff A. Bilmes |
| 2013 | ICASSP | Submodular feature selection for high-dimensional acoustic score spaces. | Yuzong Liu, Kai Wei, Katrin Kirchhoff, Yisong Song, Jeff A. Bilmes |
| 2013 | ICML | Deep Canonical Correlation Analysis. | Galen Andrew, Raman Arora, Jeff A. Bilmes, Karen Livescu |
| 2013 | ICML | Fast Semidifferential-based Submodular Function Optimization. | Rishabh K. Iyer, Stefanie Jegelka, Jeff A. Bilmes |
| 2013 | Interspeech | Classification of developmental disorders from speech signals using submodular feature selection. | Katrin Kirchhoff, Yuzong Liu, Jeff A. Bilmes |
| 2013 | NAACL | Using Document Summarization Techniques for Speech Data Subset Selection. | Kai Wei, Yuzong Liu, Katrin Kirchhoff, Jeff A. Bilmes |
| 2013 | UAI | The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking. | Rishabh K. Iyer, Jeff A. Bilmes |
| 2012 | ICASSP | Sequential Deep Belief Networks. | Galen Andrew, Jeff A. Bilmes |
| 2012 | ICASSP | Acoustic model transformations based on random projections. | Tetsuya Takiguchi, Mariko Yoshii, Yasuo Ariki, Jeff A. Bilmes |
| 2012 | UAI | Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications. | Rishabh K. Iyer, Jeff A. Bilmes |
| 2012 | UAI | Learning Mixtures of Submodular Shells with Application to Document Summarization. | Hui Lin, Jeff A. Bilmes |
| 2012 | UAI | Spectrum Identification using a Dynamic Bayesian Network Model of Tandem Mass Spectra. | Ajit P. Singh, John T. Halloran, Jeff A. Bilmes, Katrin Kirchhoff, William Stafford Noble |
| 2011 | ACL | A Class of Submodular Functions for Document Summarization. | Hui Lin, Jeff A. Bilmes |
| 2011 | ACL | Word Alignment via Submodular Maximization over Matroids. | Hui Lin, Jeff A. Bilmes |
| 2011 | CVPR | Submodularity beyond submodular energies: Coupling edges in graph cuts. | Stefanie Jegelka, Jeff A. Bilmes |
| 2011 | ICML | Simultaneous Learning and Covering with Adversarial Noise. | Andrew Guillory, Jeff A. Bilmes |
| 2011 | ICML | Online Submodular Minimization for Combinatorial Structures. | Stefanie Jegelka, Jeff A. Bilmes |
| 2011 | ICML | Approximation Bounds for Inference using Cooperative Cuts. | Stefanie Jegelka, Jeff A. Bilmes |
| 2011 | Interspeech | Optimal Selection of Limited Vocabulary Speech Corpora. | Hui Lin, Jeff A. Bilmes |
| 2011 | UAI | Active Semi-Supervised Learning using Submodular Functions. | Andrew Guillory, Jeff A. Bilmes |
| 2010 | AAAI | Discovering Long Range Properties of Social Networks with Multi-Valued Time-Inhomogeneous Models. | Danny Wyatt, Tanzeem Choudhury, Jeff A. Bilmes |
| 2010 | ICASSP | Jointly recognizing multi-speaker conversations. | Gang Ji, Jeff A. Bilmes |
| 2010 | ICASSP | Evaluation of random-projection-based feature combination on speech recognition. | Tetsuya Takiguchi, Jeff A. Bilmes, Mariko Yoshii, Yasuo Ariki |
| 2010 | ICML | Interactive Submodular Set Cover. | Andrew Guillory, Jeff A. Bilmes |
| 2010 | Interspeech | Online adaptive learning for speech recognition decoding. | Jeff A. Bilmes, Hui Lin |
| 2010 | Interspeech | Semi-supervised learning for improved expression of uncertainty in discriminative classifiers. | Jonathan Malkin, Jeff A. Bilmes |
| 2010 | NAACL | Multi-document Summarization via Budgeted Maximization of Submodular Functions. | Hui Lin, Jeff A. Bilmes |
| 2010 | RECOMB | Predicting Nucleosome Positioning Using Multiple Evidence Tracks. | Sheila M. Reynolds, Zhiping Weng, Jeff A. Bilmes, William Stafford Noble |
| 2009 | ACL | Compiling a Massive, Multilingual Dictionary via Probabilistic Inference. | Mausam, Stephen Soderland, Oren Etzioni, Daniel S. Weld, Michael Skinner, Jeff A. Bilmes |
| 2009 | ALT | Average-Case Active Learning with Costs. | Andrew Guillory, Jeff A. Bilmes |
| 2009 | ASRU | Graph-based submodular selection for extractive summarization. | Hui Lin, Jeff A. Bilmes, Shasha Xie |
| 2009 | CHI | Longitudinal study of people learning to use continuous voice-based cursor control. | Susumu Harada, Jacob O. Wobbrock, Jonathan Malkin, Jeff A. Bilmes, James A. Landay |
| 2009 | CHI | The VoiceBot: a voice controlled robot arm. | Brandi House, Jonathan Malkin, Jeff A. Bilmes |
| 2009 | ICASSP | Improving multi-lattice alignment based spoken keyword spotting. | Hui Lin, Alex Stupakov, Jeff A. Bilmes |
| 2009 | ICASSP | Modelling the prepausal lengthening effect for speech recognition: a dynamic Bayesian network approach. | Ning Ma, Chris D. Bartels, Jeff A. Bilmes, Phil D. Green |
| 2009 | ICASSP | Multi-layer ratio Semi-Definite Classifiers. | Jonathan Malkin, Jeff A. Bilmes |
| 2009 | ICASSP | COSINE - A corpus of multi-party COnversational Speech In Noisy Environments. | Alex Stupakov, Evan Hanusa, Jeff A. Bilmes, Dieter Fox |
| 2009 | Interspeech | How to select a good training-data subset for transcription: submodular active selection for sequences. | Hui Lin, Jeff A. Bilmes |
| 2009 | Interspeech | How to loose confidence: probabilistic linear machines for multiclass classification. | Hui Lin, Jeff A. Bilmes, Koby Crammer |
| 2009 | Interspeech | On the semi-supervised learning of multi-layered perceptrons. | Jonathan Malkin, Amarnag Subramanya, Jeff A. Bilmes |
| 2009 | Interspeech | The semi-supervised switchboard transcription project. | Amarnag Subramanya, Jeff A. Bilmes |
| 2009 | RECOMB | On the Relationship between DNA Periodicity and Local Chromatin Structure. | Sheila M. Reynolds, Jeff A. Bilmes, William Stafford Noble |
| 2008 | AAAI | Structure Learning on Large Scale Common Sense Statistical Models of Human State. | William Pentney, Matthai Philipose, Jeff A. Bilmes |
| 2008 | AAAI | Learning Hidden Curved Exponential Family Models to Infer Face-to-Face Interaction Networks from Situated Speech Data. | Danny Wyatt, Tanzeem Choudhury, Jeff A. Bilmes |
| 2008 | EMNLP | Soft-Supervised Learning for Text Classification. | Amarnag Subramanya, Jeff A. Bilmes |
| 2008 | ICASSP | Polyphase speech recognition. | Hui Lin, Jeff A. Bilmes |
| 2008 | ICASSP | Ratio semi-definite classifiers. | Jonathan Malkin, Jeff A. Bilmes |
| 2008 | Interspeech | Using syllable nuclei locations to improve automatic speech recognition in the presence of burst noise. | Chris D. Bartels, Jeff A. Bilmes |
| 2008 | Interspeech | Spoken keyword spotting via multi-lattice alignment. | Hui Lin, Alex Stupakov, Jeff A. Bilmes |
| 2008 | Interspeech | Applications of virtual-evidence based speech recognizer training. | Amarnag Subramanya, Jeff A. Bilmes |
| 2008 | ISAIM | Practical Methods for Exploiting Bounds on Change in the Margin. | Andrew Guillory, Jeff A. Bilmes |
| 2008 | ISAIM | Order-based Discriminative Structure Learning for Bayesian Network Classifiers. | Franz Pernkopf, Jeff A. Bilmes |
| 2008 | ISMB | Modeling peptide fragmentation with dynamic Bayesian networks for peptide identification. | Aaron A. Klammer, Sheila M. Reynolds, Jeff A. Bilmes, Michael J. MacCoss, William Stafford Noble |
| 2007 | AAAI | Learning Large Scale Common Sense Models of Everyday Life. | William Pentney, Matthai Philipose, Jeff A. Bilmes, Henry A. Kautz |
| 2007 | ASRU | Use of syllable nuclei locations to improve ASR. | Chris D. Bartels, Jeff A. Bilmes |
| 2007 | ASRU | Submodularity and adaptation. | Jeff A. Bilmes |
| 2007 | ASRU | OOV detection by joint word/phone lattice alignment. | Hui Lin, Jeff A. Bilmes, Dimitra Vergyri, Katrin Kirchhoff |
| 2007 | ASRU | Uncertainty in training large vocabulary speech recognizers. | Amarnag Subramanya, Chris D. Bartels, Jeff A. Bilmes, Patrick Nguyen |
| 2007 | ASSETS | Demo of VJ-Voicebot: control of robotic arm with the Vocal Joystick. | Brandi House, Jonathan Malkin, Jeff A. Bilmes |
| 2007 | ICMI | Disambiguating speech commands using physical context. | Katherine Everitt, Susumu Harada, Jeff A. Bilmes, James A. Landay |
| 2007 | IJCAI | Local Search for Balanced Submodular Clusterings. | Mukund Narasimhan, Jeff A. Bilmes |
| 2007 | IJCAI | A Privacy-Sensitive Approach to Modeling Multi-Person Conversations. | Danny Wyatt, Tanzeem Choudhury, Jeff A. Bilmes, Henry A. Kautz |
| 2007 | Interspeech | Attention shift decoding for conversational speech recognition. | Raghunandan Kumaran, Jeff A. Bilmes, Katrin Kirchhoff |
| 2007 | Interspeech | Conversation detection and speaker segmentation in privacy-sensitive situated speech data. | Danny Wyatt, Tanzeem Choudhury, Jeff A. Bilmes |
| 2007 | NAACL | Generalized Graphical Abstractions for Statistical Machine Translation. | Karim Filali, Jeff A. Bilmes |
| 2007 | NAACL | Virtual Evidence for Training Speech Recognizers Using Partially Labeled Data. | Amarnag Subramanya, Jeff A. Bilmes |
| 2007 | UAI | Consensus ranking under the exponential model. | Marina Meila, Kapil Phadnis, Arthur Patterson, Jeff A. Bilmes |
| 2006 | ASSETS | The vocal joystick: : evaluation of voice-based cursor control techniques. | Susumu Harada, James A. Landay, Jonathan Malkin, Xiao Li, Jeff A. Bilmes |
| 2006 | ICASSP | The Vocal Joystick. | Jeff A. Bilmes, Jonathan Malkin, Xiao Li, Susumu Harada, Kelley Kilanski, Katrin Kirchhoff, Richard Wright, Amarnag Subramanya, James A. Landay, Patricia Dowden, Howard Chizeck |
| 2006 | ICASSP | Regularized Adaptation of Discriminative Classifiers. | Xiao Li, Jeff A. Bilmes |
| 2006 | Interspeech | The vocal joystick data collection effort and vowel corpus. | Kelley Kilanski, Jonathan Malkin, Xiao Li, Richard Wright, Jeff A. Bilmes |
| 2006 | Interspeech | An online adaptive filtering algorithm for the vocal joystick. | Xiao Li, Jonathan Malkin, Susumu Harada, Jeff A. Bilmes, Richard Wright, James A. Landay |
| 2006 | MMSP | Hierarchical Models for Activity Recognition. | Amarnag Subramanya, Alvin Raj, Jeff A. Bilmes, Dieter Fox |
| 2006 | NAACL | Backoff Model Training using Partially Observed Data: Application to Dialog Act Tagging. | Gang Ji, Jeff A. Bilmes |
| 2006 | UAI | Non-Minimal Triangulations for Mixed Stochastic/Deterministic Graphical Models. | Chris D. Bartels, Jeff A. Bilmes |
| 2006 | UAI | Recognizing Activities and Spatial Context Using Wearable Sensors. | Amar Subramanya, Alvin Raj, Jeff A. Bilmes, Dieter Fox |
| 2005 | ACL | A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification. | Karim Filali, Jeff A. Bilmes |
| 2005 | ICASSP | Speech Feature Smoothing for Robust ASR. | Chia-Ping Chen, Jeff A. Bilmes, Daniel P. W. Ellis |
| 2005 | ICASSP | Dialog Act Tagging Using Graphical Models. | Gang Ji, Jeff A. Bilmes |
| 2005 | ICASSP | DBN-Based Multi-stream Models for Mandarin Toneme Recognition. | Xin Lei, Gang Ji, Tim Ng, Jeff A. Bilmes, Mari Ostendorf |
| 2005 | ICASSP | A Graphical Model for Formant Tracking. | Jonathan Malkin, Xiao Li, Jeff A. Bilmes |
| 2005 | ICCV | A Generative/Discriminative Learning Algorithm for Image Classification. | Yi Li, Linda G. Shapiro, Jeff A. Bilmes |
| 2005 | ICML | Discriminative versus generative parameter and structure learning of Bayesian network classifiers. | Franz Pernkopf, Jeff A. Bilmes |
| 2005 | Interspeech | Genetic triangulation of graphical models for speech and language processing. | Chris D. Bartels, Kevin Duh, Jeff A. Bilmes, Katrin Kirchhoff, Simon King |
| 2005 | Interspeech | SVitchboard 1: small vocabulary tasks from Switchboard. | Simon King, Chris D. Bartels, Jeff A. Bilmes |
| 2005 | Interspeech | Maximum margin learning and adaptation of MLP classifiers. | Xiao Li, Jeff A. Bilmes, Jonathan Malkin |
| 2005 | Interspeech | Focused word segmentation for ASR. | Amarnag Subramanya, Jeff A. Bilmes, Chia-Ping Chen |
| 2005 | NAACL | The Vocal Joystick: A Voice-Based Human-Computer Interface for Individuals with Motor Impairments. | Jeff A. Bilmes, Xiao Li, Jonathan Malkin, Kelley Kilanski, Richard Wright, Katrin Kirchhoff, Amar Subramanya, Susumu Harada, James A. Landay, Patricia Dowden, Howard Chizeck |
| 2005 | NAACL | Part-of-Speech Tagging using Virtual Evidence and Negative Training. | Sheila M. Reynolds, Jeff A. Bilmes |
| 2005 | UAI | A Submodular-supermodular Procedure with Applications to Discriminative Structure Learning. | Mukund Narasimhan, Jeff A. Bilmes |
| 2004 | ICASSP | DBN based multi-stream models for audio-visual speech recognition. | John N. Gowdy, Amarnag Subramanya, Chris D. Bartels, Jeff A. Bilmes |
| 2004 | ICASSP | Codebook design for ASR systems using custom arithmetic units. | Xiao Li, Jonathan Malkin, Jeff A. Bilmes |
| 2004 | ICASSP | Custom arithmetic for high-speed, low-resource ASR systems. | Jonathan Malkin, Xiao Li, Jeff A. Bilmes |
| 2004 | ICPR | Object Class Recognition using Images of Abstract Regions. | Yi Li, Jeff A. Bilmes, Linda G. Shapiro |
| 2004 | Interspeech | Graphical model approach to pitch tracking. | Xiao Li, Jonathan Malkin, Jeff A. Bilmes |
| 2004 | NAACL | Multi-Speaker Language Modeling. | Gang Ji, Jeff A. Bilmes |
| 2004 | UAI | PAC-learning Bounded Tree-width Graphical Models. | Mukund Narasimhan, Jeff A. Bilmes |
| 2003 | ICASSP | DBN based multi-stream models for speech. | Yimin Zhang, Qian Diao, Shan Huang, Wei Hu, Chris D. Bartels, Jeff A. Bilmes |
| 2003 | ICASSP | Novel approaches to Arabic speech recognition: report from the 2002 Johns-Hopkins Summer Workshop. | Katrin Kirchhoff, Jeff A. Bilmes, Sourin Das, Nicolae Duta, Melissa Egan, Gang Ji, Feng He, John Henderson, Daben Liu, Mohammed Noamany, Patrick Schone, Richard M. Schwartz, Dimitra Vergyri |
| 2003 | Interspeech | Hidden feature models for speech recognition using dynamic Bayesian networks. | Karen Livescu, James R. Glass, Jeff A. Bilmes |
| 2003 | NAACL | Factored Language Models and Generalized Parallel Backoff. | Jeff A. Bilmes, Katrin Kirchhoff |
| 2003 | UAI | On Triangulating Dynamic Graphical Models. | Jeff A. Bilmes, Chris D. Bartels |
| 2002 | ICASSP | The graphical models toolkit: An open source software system for speech and time-series processing. | Jeff A. Bilmes, Geoffrey Zweig |
| 2002 | ICASSP | Robust splicing costs and efficient search with BMM Models for concatenative speech synthesis. | Ivan Bulyko, Mari Ostendorf, Jeff A. Bilmes |
| 2002 | ICASSP | Mixed-memory Markov models for Automatic Language Identification. | Katrin Kirchhoff, Sonia Parandekar, Jeff A. Bilmes |
| 2002 | ICASSP | Structurally discriminative graphical models for automatic speech recognition - results from the 2001 Johns Hopkins Summer Workshop. | Geoffrey Zweig, Jeff A. Bilmes, Thomas Richardson, Karim Filali, Karen Livescu, Peng Xu, Kirk Jackson, Yigal Brandman, Eric D. Sandness, Eva Holtz, Jerry Torres, Bill Byrne |
| 2002 | Interspeech | The 2001 GMTK-based SPINE ASR system. | zgr etin, Harriet J. Nock, Katrin Kirchhoff, Jeff A. Bilmes, Mari Ostendorf |
| 2002 | Interspeech | Low-resource noise-robust feature post-processing on Aurora 2.0. | Chia-Ping Chen, Jeff A. Bilmes, Katrin Kirchhoff |
| 2002 | Interspeech | Frontend post-processing and backend model enhancement on the Aurora 2.0/3.0 databases. | Chia-Ping Chen, Karim Filali, Jeff A. Bilmes |
| 2002 | Interspeech | Data-driven vector clustering for low-memory footprint ASR. | Karim Filali, Xiao Li, Jeff A. Bilmes |
| 2001 | ICCS | Statistical Models for Automatic Performance Tuning. | Rich Vuduc, James Demmel, Jeff A. Bilmes |
| 2000 | ICASSP | Factored sparse inverse covariance matrices. | Jeff A. Bilmes |
| 2000 | Interspeech | Directed graphical models of classifier combination: application to phone recognition. | Jeff A. Bilmes, Katrin Kirchhoff |
| 2000 | Interspeech | Using mutual information to design feature combinations. | Daniel P. W. Ellis, Jeff A. Bilmes |
| 2000 | Interspeech | Hidden-articulator Markov models: performance improvements and robustness to noise. | Matthew Richardson, Jeff A. Bilmes, Chris Diorio |
| 2000 | UAI | Dynamic Bayesian Multinets. | Jeff A. Bilmes |
| 1999 | ICASSP | Buried Markov models for speech recognition. | Jeff A. Bilmes |
| 1999 | ICASSP | Dynamic classifier combination in hybrid speech recognition systems using utterance-level confidence values. | Katrin Kirchhoff, Jeff A. Bilmes |
| 1998 | ICASSP | Maximum mutual information based reduction strategies for cross-correlation based joint distributional modeling. | Jeff A. Bilmes |
| 1998 | Interspeech | Data-driven extensions to HMM statistical dependencies. | Jeff A. Bilmes |
| 1997 | ICASSP | Using PHiPAC to speed error back-propagation learning. | Jeff A. Bilmes, Krste Asanovic, Chee-Whye Chin, James Demmel |
| 1997 | ICS | Optimizing Matrix Multiply Using PHiPAC: A Portable, High-Performance, ANSI C Coding Methodology. | Jeff A. Bilmes, Krste Asanovic, Chee-Whye Chin, James Demmel |
| 1996 | Interspeech | Stochastic perceptual speech models with durational dependence. | Jeff A. Bilmes, Nelson Morgan, Su-Lin Wu, Herv Bourlard |
| 1989 | BTW | The Implementation of the Cell Tree: Design Alternatives and Performance Evaluation. | Oliver Gnther, Jeff A. Bilmes |