Jeffrey A. Bilmes
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Jeffrey A. Bilmescomputer-science Degrees
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Engineering Computer Science
Jeffrey A. Bilmes's Degrees
- PhD Electrical Engineering and Computer Science University of California, Berkeley
- Masters Electrical Engineering and Computer Science University of California, Berkeley
- Bachelors Electrical Engineering and Computer Science University of California, Berkeley
Why Is Jeffrey A. Bilmes Influential?
(Suggest an Edit or Addition)Jeffrey A. Bilmes's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- A gentle tutorial of the em algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models (1998) (3015)
- An integrated encyclopedia of DNA elements in the human genome (2012) (2080)
- Deep Canonical Correlation Analysis (2013) (1451)
- A Class of Submodular Functions for Document Summarization (2011) (741)
- On Deep Multi-View Representation Learning (2015) (579)
- Unsupervised pattern discovery in human chromatin structure through genomic segmentation (2012) (577)
- Integrative annotation of chromatin elements from ENCODE data (2012) (523)
- Optimizing matrix multiply using PHiPAC: a portable, high-performance, ANSI C coding methodology (1997) (495)
- Multi-document Summarization via Budgeted Maximization of Submodular Functions (2010) (397)
- Factored Language Models and Generalized Parallel Backoff (2003) (341)
- On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks (2019) (326)
- Submodularity in Data Subset Selection and Active Learning (2015) (297)
- Transmembrane Topology and Signal Peptide Prediction Using Dynamic Bayesian Networks (2008) (243)
- MVA Processing of Speech Features (2007) (239)
- The graphical models toolkit: An open source software system for speech and time-series processing (2002) (230)
- What HMMs Can Do (2006) (216)
- Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints (2013) (214)
- Submodularity beyond submodular energies: Coupling edges in graph cuts (2011) (203)
- Optimizing matrix multiply using PHiPAC: a portable, high-performance, ANSI C coding methodology (1997) (190)
- Learning Mixtures of Submodular Functions for Image Collection Summarization (2014) (182)
- Learning Mixtures of Submodular Shells with Application to Document Summarization (2012) (179)
- A Submodular-supermodular Procedure with Applications to Discriminative Structure Learning (2005) (168)
- Dynamic Bayesian Multinets (2000) (158)
- Novel approaches to Arabic speech recognition: report from the 2002 Johns-Hopkins Summer Workshop (2003) (148)
- Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications (2012) (147)
- Unsupervised learning of acoustic features via deep canonical correlation analysis (2015) (135)
- Timing is of the essence : perceptual and computational techniques for representing, learning, and reproducing expressive timing in percussive rhythm (1993) (134)
- Consensus ranking under the exponential model (2007) (134)
- Graphical model architectures for speech recognition (2005) (134)
- Graphical models and automatic speech recognition (2002) (132)
- Combating Label Noise in Deep Learning Using Abstention (2019) (126)
- Recognizing Activities and Spatial Context Using Wearable Sensors (2006) (120)
- Morphology-based language modeling for conversational Arabic speech recognition (2006) (118)
- Statistical Models for Empirical Search-Based Performance Tuning (2004) (118)
- The vocal joystick:: evaluation of voice-based cursor control techniques (2006) (117)
- Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions (2013) (110)
- Semi-Supervised Learning with Measure Propagation (2011) (105)
- Fast Semidifferential-based Submodular Function Optimization (2013) (103)
- The Vocal Joystick: A Voice-Based Human-Computer Interface for Individuals with Motor Impairments (2005) (101)
- Submodular subset selection for large-scale speech training data (2014) (97)
- Coresets for Data-efficient Training of Machine Learning Models (2019) (97)
- DBN based multi-stream models for audio-visual speech recognition (2004) (93)
- Hidden-articulator Markov models for speech recognition (2003) (90)
- Regularized Adaptation of Discriminative Classifiers (2006) (90)
- Dialog act tagging using graphical models (2005) (88)
- The Ring Array Processor: A Multiprocessing Peripheral for Connection Applications (1992) (87)
- Using Document Summarization Techniques for Speech Data Subset Selection (2013) (86)
- Graph-based submodular selection for extractive summarization (2009) (85)
- The VoiceBot: a voice controlled robot arm (2009) (82)
- Fast Multi-stage Submodular Maximization (2014) (81)
- Inferring colocation and conversation networks from privacy-sensitive audio with implications for computational social science (2011) (79)
- Discriminative versus generative parameter and structure learning of Bayesian network classifiers (2005) (79)
- Hidden feature models for speech recognition using dynamic Bayesian networks (2003) (78)
- Factored sparse inverse covariance matrices (2000) (78)
- How to select a good training-data subset for transcription: submodular active selection for sequences (2009) (77)
- PAC-learning Bounded Tree-width Graphical Models (2004) (77)
- Compiling a Massive, Multilingual Dictionary via Probabilistic Inference (2009) (75)
- Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification (2009) (74)
- Interactive Submodular Set Cover (2010) (73)
- Soft-Supervised Learning for Text Classification (2008) (73)
- Submodularity for Data Selection in Machine Translation (2014) (71)
- Buried Markov models for speech recognition (1999) (69)
- Joint annotation of chromatin state and chromatin conformation reveals relationships among domain types and identifies domains of cell-type-specific expression (2014) (69)
- OOV detection by joint word/phone lattice alignment (2007) (65)
- Submodular feature selection for high-dimensional acoustic score spaces (2013) (65)
- On fast approximate submodular minimization (2011) (64)
- Simultaneous Learning and Covering with Adversarial Noise (2011) (64)
- Natural statistical models for automatic speech recognition (1999) (63)
- A generative/discriminative learning algorithm for image classification (2005) (63)
- Conversation detection and speaker segmentation in privacy-sensitive situated speech data (2007) (62)
- Buried Markov models: a graphical-modeling approach to automatic speech recognition (2003) (61)
- Tree-Based Access Methods for Spatial Databases: Implementation and Performance Evaluation (1991) (60)
- Low-resource noise-robust feature post-processing on Aurora 2.0 (2002) (58)
- Q-Clustering (2005) (58)
- Optimal Selection of Limited Vocabulary Speech Corpora (2011) (57)
- Modeling peptide fragmentation with dynamic Bayesian networks for peptide identification (2008) (57)
- Longitudinal study of people learning to use continuous voice-based cursor control (2009) (56)
- Dynamic Graphical Models (2010) (56)
- Using mutual information to design feature combinations (2000) (56)
- WHAT HMMS CAN'T DO (2004) (56)
- On Deep Multi-View Representation Learning: Objectives and Optimization (2016) (54)
- Unsupervised submodular subset selection for speech data (2014) (53)
- A Bayesian Divergence Prior for Classiffier Adaptation (2007) (53)
- Label Selection on Graphs (2009) (53)
- Dynamic classifier combination in hybrid speech recognition systems using utterance-level confidence values (1999) (52)
- Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome (2020) (52)
- PREDICTD PaRallel Epigenomics Data Imputation with Cloud-based Tensor Decomposition (2018) (49)
- A dynamic Bayesian network for identifying protein-binding footprints from single molecule-based sequencing data (2010) (48)
- Nucleotide sequence and DNaseI sensitivity are predictive of 3D chromatin architecture (2017) (48)
- Backoff Model Training using Partially Observed Data: Application to Dialog Act Tagging (2006) (47)
- Frontend post-processing and backend model enhancement on the Aurora 2.0/3.0 databases (2002) (47)
- Average-Case Active Learning with Costs (2009) (45)
- Statistical Models for Automatic Performance Tuning (2001) (45)
- On Bisubmodular Maximization (2012) (45)
- Towards the automated social analysis of situated speech data (2008) (44)
- Active Semi-Supervised Learning using Submodular Functions (2011) (44)
- Factored Language Models Tutorial (2007) (43)
- Panlingual lexical translation via probabilistic inference (2010) (43)
- The Vocal Joystick (2006) (42)
- A Privacy-Sensitive Approach to Modeling Multi-Person Conversations (2007) (42)
- A unified encyclopedia of human functional DNA elements through fully automated annotation of 164 human cell types (2016) (42)
- Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure (2011) (41)
- DBN based multi-stream models for speech (2003) (40)
- The RAP: a ring array processor for layered network calculations (1990) (40)
- Submodular-Bregman and the Lovász-Bregman Divergences with Applications (2012) (40)
- Maximum mutual information based reduction strategies for cross-correlation based joint distributional modeling (1998) (40)
- Curriculum Learning by Dynamic Instance Hardness (2020) (40)
- A pitfall for machine learning methods aiming to predict across cell types (2019) (39)
- Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity (2018) (39)
- Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers (2010) (39)
- Greed is Still Good: Maximizing Monotone Submodular+Supermodular Functions (2018) (39)
- The Vocal Joystick: Evaluation of voice-based cursor control techniques for assistive technology (2008) (38)
- On Triangulating Dynamic Graphical Models (2002) (38)
- COSINE - A corpus of multi-party COnversational Speech In Noisy Environments (2009) (38)
- Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications (2015) (37)
- SVitchboard 1: Small Vocabulary Tasks from Switchboard 1 (2005) (37)
- Hidden-articulator Markov models: performance improvements and robustness to noise (2000) (37)
- Robust Curriculum Learning: from clean label detection to noisy label self-correction (2021) (37)
- Deep Submodular Functions (2017) (35)
- Using PHiPAC to speed error back-propagation learning (1997) (35)
- Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures (2015) (34)
- Learning Large Scale Common Sense Models of Everyday Life (2007) (34)
- Regularized adaptation: theory, algorithms and applications (2007) (34)
- Rao-Blackwellized Particle Filters for Recognizing Activities and Spatial Context from Wearable Sensors (2006) (34)
- A novel representation for rhythmic structure (1997) (34)
- Submodular Combinatorial Information Measures with Applications in Machine Learning (2020) (34)
- Monotone Closure of Relaxed Constraints in Submodular Optimization: Connections Between Minimization and Maximization (2014) (34)
- Segway 2.0: Gaussian mixture models and minibatch training (2017) (32)
- Online Submodular Minimization for Combinatorial Structures (2011) (32)
- Analysis of Deep Neural Networks with Extended Data Jacobian Matrix (2016) (31)
- Techniques to Foster Drum Machine Expressivity (1993) (31)
- The design and collection of COSINE, a multi-microphone in situ speech corpus recorded in noisy environments (2012) (30)
- On Virtual Evidence and Soft Evidence in Bayesian Networks (2004) (30)
- Local Search for Balanced Submodular Clusterings (2007) (30)
- Multi-Speaker Language Modeling (2004) (29)
- A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification (2005) (29)
- Speech feature smoothing for robust ASR (2005) (29)
- Deep Submodular Functions: Definitions and Learning (2016) (29)
- Approximation Bounds for Inference using Cooperative Cuts (2011) (27)
- Word Alignment via Submodular Maximization over Matroids (2011) (27)
- Ratio semi-definite classifiers (2008) (27)
- Completing the ENCODE3 compendium yields accurate imputations across a variety of assays and human biosamples (2019) (27)
- Discovering Long Range Properties of Social Networks with Multi-Valued Time-Inhomogeneous Models (2010) (26)
- On the semi-supervised learning of multi-layered perceptrons (2009) (26)
- Broad phonetic classification using discriminative Bayesian networks (2009) (25)
- Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers (2006) (25)
- Mixed-memory Markov models for Automatic Language Identification (2002) (25)
- Algorithms for Optimizing the Ratio of Submodular Functions (2016) (25)
- Submodularity Cuts and Applications (2009) (24)
- Data-driven extensions to HMM statistical dependencies (1998) (23)
- A Model for Musical Rhythm (1992) (23)
- Hierarchical Models for Activity Recognition (2006) (23)
- Multi-scale deep tensor factorization learns a latent representation of the human epigenome (2018) (23)
- SVitchboard II and fiSVer i: high-quality limited-complexity corpora of conversational English speech (2015) (23)
- The PHiPAC v1.0 Matrix-Multiply Distribution (1998) (23)
- Submodularity for Data Selection in Statistical Machine Translation (2014) (22)
- Polyhedral aspects of Submodularity, Convexity and Concavity (2015) (22)
- Learning a Weighted Sequence Model of the Nucleosome Core and Linker Yields More Accurate Predictions in Saccharomyces cerevisiae and Homo sapiens (2010) (22)
- apricot: Submodular selection for data summarization in Python (2019) (22)
- COMBINATION AND JOINT TRAINING OF ACOUSTIC CLASSIFIERS FOR SPEECH RECOGNITION (2000) (22)
- Choosing non‐redundant representative subsets of protein sequence data sets using submodular optimization (2018) (21)
- Directed graphical models of classifier combination: application to phone recognition (2000) (21)
- Diverse Client Selection for Federated Learning via Submodular Maximization (2022) (21)
- Cooperative Cuts: Graph Cuts with Submodular Edge Weights (2010) (20)
- A learned embedding for efficient joint analysis of millions of mass spectra (2018) (20)
- The vocal joystick data collection effort and vowel corpus (2006) (19)
- Maximum margin learning and adaptation of MLP classifiers (2005) (19)
- Structurally discriminative graphical models for automatic speech recognition - results from the 2001 Johns Hopkins Summer Workshop (2002) (19)
- Bias Also Matters: Bias Attribution for Deep Neural Network Explanation (2019) (19)
- Submodular Point Processes with Applications to Machine learning (2015) (19)
- Energy and loudness for speed control in the vocal joystick (2005) (19)
- Active Learning as Non-Convex Optimization (2009) (19)
- Diverse Ensemble Evolution: Curriculum Data-Model Marriage (2018) (19)
- The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking (2013) (18)
- Learning Hidden Curved Exponential Family Models to Infer Face-to-Face Interaction Networks from Situated Speech Data (2008) (18)
- Submodularity in natural language processing: algorithms and applications (2012) (18)
- The semi-supervised switchboard transcription project (2009) (18)
- Discriminatively Structured Graphical Models for Speech Recognition The Graphical Models Team JHU 2001 Summer Workshop (2001) (17)
- Divide-and-Conquer Learning by Anchoring a Conical Hull (2014) (17)
- Constrained robust submodular sensor selection with applications to multistatic sonar arrays (2016) (17)
- Time-Consistent Self-Supervision for Semi-Supervised Learning (2020) (17)
- Sequential Deep Belief Networks (2012) (16)
- SVitchboard 1: small vocabulary tasks from Switchboard (2005) (16)
- Choosing panels of genomics assays using submodular optimization (2016) (16)
- Spoken keyword spotting via multi-lattice alignment (2008) (15)
- Structure Learning on Large Scale Common Sense Statistical Models of Human State (2008) (15)
- Use of syllable nuclei locations to improve ASR (2007) (15)
- Object class recognition using images of abstract regions (2004) (15)
- Introduction to the special issue on new computational paradigms for acoustic modeling in speech recognition (2003) (15)
- A graphical model for formant tracking (2005) (14)
- Improving multi-lattice alignment based spoken keyword spotting (2009) (14)
- Diverse Client Selection for Federated Learning:Submodularity and Convergence Analysis (2021) (14)
- PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection (2021) (14)
- The Implementation of the Cell Tree: Design Alternatives and Performance Evaluation (1989) (14)
- Stochastic perceptual speech models with durational dependence (1996) (14)
- Graphical model approach to pitch tracking (2004) (14)
- Submodular Hamming Metrics (2015) (14)
- Submodularity In Machine Learning and Artificial Intelligence (2022) (13)
- Online Submodular Set Cover, Ranking, and Repeated Active Learning (2011) (13)
- Attention shift decoding for conversational speech recognition (2007) (13)
- Constrained Robust Submodular Optimization (2016) (13)
- Part-of-Speech Tagging using Virtual Evidence and Negative Training (2005) (13)
- Generalized rules for combination and joint training of classifiers (2003) (12)
- PRISM: A Unified Framework of Parameterized Submodular Information Measures for Targeted Data Subset Selection and Summarization (2021) (12)
- Multi-layer ratio Semi-Definite Classifiers (2009) (12)
- Leveraging multiple languages to improve statistical MT word alignments (2005) (12)
- Statistical acoustic indications of coarticulation (1999) (12)
- Dynamic Bayesian Network for Accurate Detection of Peptides from Tandem Mass Spectra. (2016) (12)
- Jumpout : Improved Dropout for Deep Neural Networks with ReLUs (2019) (11)
- An Effective Baseline for Robustness to Distributional Shift (2021) (11)
- Feature pruning in likelihood evaluation of HMM-based speech recognition (2003) (11)
- Noise robustness in automatic speech recognition (2004) (11)
- Mirror Descent-Like Algorithms for Submodular Optimization (2012) (11)
- Robust splicing costs and efficient search with BMM Models for concatenative speech synthesis (2002) (11)
- Classification of developmental disorders from speech signals using submodular feature selection (2013) (11)
- Data-driven vector clustering for low-memory footprint ASR (2002) (10)
- Focused word segmentation for ASR (2005) (10)
- Disambiguating speech commands using physical context (2007) (10)
- Curriculum Learning by Optimizing Learning Dynamics (2021) (9)
- Training Compressed Fully-Connected Networks with a Density-Diversity Penalty (2016) (9)
- A weakly supervised activity recognition framework for real-time synthetic biology laboratory assistance (2016) (9)
- DBN-based multi-stream models for Mandarin toneme recognition (2005) (9)
- Learning Peptide-Spectrum Alignment Models for Tandem Mass Spectrometry (2014) (9)
- Gaussian Models in Automatic Speech Recognition (2008) (9)
- Scaling Submodular Maximization via Pruned Submodularity Graphs (2016) (9)
- The Vocal Joystick Engine v1.0 (2011) (9)
- Virtual Evidence for Training Speech Recognizers Using Partially Labeled Data (2007) (9)
- Uncertainty in training large vocabulary speech recognizers (2007) (9)
- A Factored Language Model of Quantized Pitch and Duration (2006) (9)
- An online adaptive filtering algorithm for the vocal joystick (2006) (9)
- Generalized Submodular Information Measures: Theoretical Properties, Examples, Optimization Algorithms, and Applications (2022) (8)
- Author retrospective for optimizing matrix multiply using PHiPAC: a portable high-performance ANSI C coding methodology (2014) (8)
- A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems (2019) (8)
- Bipartite matching generalizations for peptide identification in tandem mass spectrometry (2016) (8)
- Graph cuts with interacting edge weights: examples, approximations, and algorithms (2014) (8)
- Fixing Mini-batch Sequences with Hierarchical Robust Partitioning (2019) (8)
- Joint distributional modeling with cross-correlation based features (1997) (8)
- Statistical Modeling of Feedback Data in an Automatic Tuning System (2000) (8)
- Feature pruning for low-power ASR systems in clean and noisy environments (2005) (8)
- GRAPHICAL MODEL REPRESENTATIONS OF WORD LATTICES (2006) (8)
- Cooperative Cuts for Image Segmentation (2010) (7)
- Order-based Discriminative Structure Learning for Bayesian Network Classifiers (2008) (7)
- DIAmeter: matching peptides to data-independent acquisition mass spectrometry data (2021) (7)
- On the Relationship between DNA Periodicity and Local Chromatin Structure (2009) (7)
- Data Sketching for Faster Training of Machine Learning Models (2019) (7)
- Evaluation of random-projection-based feature combination on speech recognition (2010) (7)
- Software for ANN Training on a Ring Array Processor (1991) (7)
- Spectrum Identification using a Dynamic Bayesian Network Model of Tandem Mass Spectra (2012) (7)
- Notes on Graph Cuts with Submodular Edge Weights (2009) (7)
- Intransitive Likelihood-Ratio Classifiers (2001) (7)
- Concurrent Real-Time Music in C++ (1991) (7)
- Epiphany: predicting Hi-C contact maps from 1D epigenomic signals (2021) (6)
- How to Intelligently Distribute Training Data to Multiple Compute Nodes : Distributed Machine Learning via Submodular Partitioning (2015) (6)
- Graphical models for integrating syllabic information (2010) (6)
- Algorithms for data-driven ASR parameter quantization (2006) (6)
- The 2001 GMTK-based SPINE ASR system (2002) (6)
- Elimination is Not Enough: Non-Minimal Triangulations for Graphical Models (2004) (6)
- Entropic Graph-based Posterior Regularization (2015) (6)
- Underfitting and Overfitting in Machine Learning (2020) (6)
- Prioritizing transcriptomic and epigenomic experiments using an optimization strategy that leverages imputed data (2019) (5)
- Knows When it Doesn’t Know: Deep Abstaining Classifiers (2018) (5)
- Neurocomputing on the RAP (1992) (5)
- On Approximate Non-submodular Minimization via Tree-Structured Supermodularity (2015) (5)
- SVitchboard-II and FiSVer-I: Crafting high quality and low complexity conversational english speech corpora using submodular function optimization (2017) (5)
- Entropic Graph-based Posterior Regularization : Extended Version (2015) (5)
- Control of Simulated Arm with the Vocal Joystick (2007) (5)
- Focused state transition information in ASR (2005) (5)
- Continuous vocalization control of a full-scale assistive robot (2012) (5)
- A Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures (2020) (5)
- Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs (2019) (5)
- Constrained Interacting Submodular Groupings (2018) (5)
- Online adaptive learning for speech recognition decoding (2010) (5)
- Multi-dynamic Bayesian Networks (2006) (5)
- Speech Production in Speech Technologies: Introduction to the CSL Special Issue (2016) (5)
- A Submodularity Framework for Data Subset Selection (2013) (4)
- Codebook design for ASR systems using custom arithmetic units (2004) (4)
- Graphical models for large vocabulary speech recognition (2008) (4)
- Optimal sub-graphical models (2004) (4)
- Semi-Supervised Phone Classification using Deep Neural Networks and Stochastic Graph-Based Entropic Regularization (2016) (4)
- How to loose confidence: probabilistic linear machines for multiclass classification (2009) (4)
- Custom arithmetic for high-speed, low-resource ASR systems (2004) (4)
- Choosing Non-redundant Representative Subsets Of Protein Sequence Data Sets Using Submodular Optimization (2018) (4)
- Concave Aspects of Submodular Functions (2020) (4)
- A Review of Graphical Model Architectures for Speech Recognition (2005) (4)
- Non-Minimal Triangulations for Mixed Stochastic/Deterministic Graphical Models (2006) (4)
- A high-speed, low-resource ASR back-end based on custom arithmetic (2006) (4)
- Ring Array Processor (RAP): Software Architecture (1991) (4)
- Auto-Summarization: A Step Towards Unsupervised Learning of a Submodular Mixture (2019) (4)
- Acoustic classification using semi-supervised Deep Neural Networks and stochastic entropy-regularization over nearest-neighbor graphs (2017) (4)
- Joint precursor elution profile inference via regression for peptide detection in data-independent acquisition mass spectra (2018) (4)
- Creating non-minimal triangulations for use in inference in mixed stochastic/deterministic graphical models (2011) (4)
- Graph Cuts with Interacting Edge Costs - Examples, Approximations, and Algorithms (2014) (4)
- Constrained Robust Submodular Partitioning (2021) (3)
- Using articulatory measurements to learn better acoustic features (2013) (3)
- Demo of VJ-Voicebot: control of robotic arm with the Vocal Joystick (2007) (3)
- Creating Social Network Models from Sensor Data (2007) (3)
- Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (2009) (2012) (3)
- Smoothing class transitions with hard labels (2010) (3)
- MOOD : A Concurrent C + +-Based Music Language (1992) (3)
- Submodular Generalized Matching for Peptide Identification in Tandem Mass Spectrometry (2019) (3)
- Author Correction: Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome (2021) (3)
- Submodular sketches of single-cell RNA-seq measurements (2020) (3)
- Scaling Up Machine Learning: Parallel Graph-Based Semi-Supervised Learning (2011) (3)
- PREDICTD PaRallel Epigenomics Data Imputation with Cloud-based Tensor Decomposition (2017) (3)
- A Semi-Supervised Learning Algorithm for Multi-Layered Perceptrons (2009) (2)
- Submodular Maximization via Gradient Ascent: The Case of Deep Submodular Functions (2018) (2)
- UNSUPERVISED SUBMODULAR SUBSET SELECTION FOR SPEECH DATA : EXTENDED VERSION (2014) (2)
- Towards Simple Methods of Noise Robustness (2002) (2)
- Applications of virtual-evidence based speech recognizer training (2008) (2)
- UAI 06 Inference Evaluation Results (2006) (2)
- Jointly recognizing multi-speaker conversations (2010) (2)
- Genetic triangulation of graphical models for speech and language processing (2005) (2)
- Dynamic classifier combination using utterance-level confidence values (1999) (2)
- A Practical Online Framework for Extracting Running Video Summaries under a Fixed Memory Budget (2021) (2)
- Large Scale Graph Transduction (2009) (2)
- Comprehensive statistical inference of the clonal structure of cancer from multiple biopsies (2017) (2)
- Protein Torsion Angle Class Prediction by a Hybrid Architecture of Bayesian and Neural Networks (2012) (2)
- Deep Submodular Functions : Definitions & Learning (2016) (2)
- Faster graphical model identification of tandem mass spectra using peptide word lattices (2014) (2)
- Multi-label cooperative cuts (2011) (2)
- Proceedings of the Workshop on Computationally Hard Problems and Joint Inference in Speech and Language Processing (2006) (2)
- Segway : simultaneous segmentation of multiple functional genomics data sets with heterogeneous patterns of missing data (2009) (2)
- Computer Speech Processing EE516 Winter 2005 (2005) (2)
- High Resolution Point Clouds from mmWave Radar (2022) (2)
- Tied and Regularized Conditional Gaussian Graphical Models for Acoustic Modeling in ASR (2006) (2)
- Blind MVA Speech Feature Processing on Aurora 2.0 (2004) (2)
- Submodular Bregman Divergences with Applications (2012) (2)
- SVitchboard 1 : Small Vocabulary Ta (2005) (2)
- Reducing total latency in online real-time inference and decoding via combined context window and model smoothing latencies (2017) (2)
- Avocado: Deep tensor factorization characterizes the human epigenome via imputation of tens of thousands of functional experiments (2020) (1)
- Using syllable nuclei locations to improve automatic speech recognition in the presence of burst noise (2008) (1)
- On fast approximate submodular minimization : Extended Version (2011) (1)
- 1 Parallel Graph-Based Semi-Supervised Learning (2012) (1)
- Uncertainty in artificial intelligence : proceedings of the Twenty-fifth Conference (2009) : June 18-21, 2009, Montreal, Quebec (2009) (1)
- Modelling the prepausal lengthening effect for speech recognition: a dynamic Bayesian network approach (2009) (1)
- Necessary Intransitive Likelihood-Ratio Classifiers (2003) (1)
- Acoustic model transformations based on random projections (2012) (1)
- Submodular Span, with Applications to Conditional Data Summarization (2021) (1)
- Coresets for Accelerating Incremental Gradient Methods (2019) (1)
- Learning Graphical Models over partial k-trees (2004) (1)
- Subset Selection in Machine Learning: Theory, Applications, and Hands On (2022) (1)
- A Divergence Prior for Adaptive Learning (2006) (1)
- Jumpout: Improved Dropout for Deep Neural Networks with Rectified Linear Units (2018) (1)
- Online algorithms for submodular minimization with combinatorial constraints (2010) (1)
- Faster and more accurate graphical model identification of tandem mass spectra using trellises (2016) (1)
- GMTK Tutorial on Dynamic Graphical Model Training with Gaussian Mixture Unaries , using TIMIT (2014) (1)
- Memory-efficient inference in dynamic graphical models using multiple cores (2012) (1)
- Submodular Mutual Information for Targeted Data Subset Selection (2021) (1)
- Epiphany: Predicting the Hi-C Contact Map from 1D Epigenomic Data (2021) (1)
- PRUNING IN LIKELIHOOD EVALUATION OF HMM-BASED SPEECH RECOGNITION (2003) (0)
- Additional File 1: Hyperparameter selection (2019) (0)
- Analysis of the everyday human environment via large scale commonsense reasoning (2008) (0)
- An Overview of Dynamic Graphical Models (2011) (0)
- Representing groove: Rhythmic structure in interactive music performance (1997) (0)
- Retrospective Adversarial Replay for Continual Learning (2022) (0)
- Feature Pruning for Fast Likelihood Evaluation of Automatic Speech Recognition (2004) (0)
- Efficient Distributed Semi-Supervised Learning using Stochastic Regularization over Affinity Graphs (2016) (0)
- Avocado (2020) (0)
- The Vocal Joystick Demo at UIST 05 : A Voice-Based Human-Computer Interface (2005) (0)
- Adaptive Learning for Speech Recognition Decoding (2010) (0)
- Polyphase speech recognition (2008) (0)
- Predicting Nucleosome Positioning Using Multiple Evidence Tracks (2010) (0)
- Human State Estimation Through Learning Over Common Sense Data (0)
- Choosing panels of genomics assays using submodular optimization (2016) (0)
- Semi-supervised learning for improved expression of uncertainty in discriminative classifiers (2010) (0)
- Interactive Combinatorial Bandits: Balancing Competitivity and Complementarity (2022) (0)
- A Low-Resource ASR Back-End Based on Custom Arithmetic (2003) (0)
- Generalized Graphical Abstractions for Statistical Machine Translation (2007) (0)
- On Statisti al Models in Automati TuningRi hard (2007) (0)
- Submodularity and adaptation (2007) (0)
- Online SuBmodular + SuPermodular (BP) Maximization with Bandit Feedback (2022) (0)
- Impact of Signal Processing and of Our Work (2010) (0)
- Multi-dynamic bayesian networks for machine translation and nlp (2007) (0)
- Learning Submodular Mixtures; and Active/Semi-Supervised Learning (2013) (0)
- Time-Consistent Semi-Supervised Learning (2020) (0)
- 1 SPEECH IS AT LEAST 4-DIMENSIONAL : RECEPTIVE FIELDS IN TIME-FREQUENCY (1996) (0)
- Eliminating redundancy among protein sequences using submodular optimization (2016) (0)
- Intransitive Classification and Choice: A Review (2006) (0)
- Author Correction: Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome (2021) (0)
- Stream Clipper: Scalable Submodular Maximization on Stream (2016) (0)
- Selectively Computing Dynamic Features in the Likelihood Computation of ASR Systems (2003) (0)
- Dynamic Instance Hardness (2019) (0)
- Assistive Robot Control Using the Vocal Joystick (2014) (0)
- Graph cuts with interacting edge weights: examples, approximations, and algorithms (2016) (0)
- Practical Methods for Exploiting Bounds on Change in the Margin (2008) (0)
- Segway 2.0 Application Note Datasets (2017) (0)
- MOUSE CONTROL-A NEW ERA IN HUMAN COMPUTER INTERACTION (2014) (0)
- Linking cells across single-cell modalities by synergistic matching of neighborhood structure (2022) (0)
- MS1Connect: a mass spectrometry run similarity measure (2022) (0)
- Uncertainty in artificial intelligence : proceedings of the Twenty-sixth Conference (2010) : July 8-11, 2010, Avalon, CA (2010) (0)
- Instructions for HLT-NAACL 2006 Proceedings (2006) (0)
- How to Loose Confidence: Probabilistic Linear Machines for Multiclass Classification (2021) (0)
- Nyquist and Data-Flow : An Overview and Comparison (1993) (0)
- Additional File 6: Promoter-enhancer interaction data set (2019) (0)
- Jaw Lip Sep Lip Round TongueBody Tongue Body Tongue Tip Velic Aper (2000) (0)
- Algorithms and Data Structures for Exact Computation of Marginals (2018) (0)
- Mixtures of Gaussians with Sparse Regression Matrices (0)
- Mixed Robust / Average Submodular Partitioning (2015) (0)
- Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, June 4-9, 2006, New York, New York, USA (2006) (0)
- Optimization on Seperator Trees (2004) (0)
- Independence Properties of Generalized Submodular Information Measures (2021) (0)
- Applications of submodular functions in speech and NLP (2011) (0)
- SCHEDULED DIVERSITY (2018) (0)
- Semi-Supervised Learning for Improved Expression of Uncertainty in Discriminative Classifiers (2021) (0)
- Segway 2.0 Application Note Scripts (2017) (0)
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