Jeffrey A. Bilmes

Jeffrey A. Bilmes's AcademicInfluence.com Rankings

Jeffrey A. Bilmes

Engineering

#3108

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#4133

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Electrical Engineering

#630

World Rank

#692

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engineering Degrees

Jeffrey A. Bilmes

Computer Science

#4080

World Rank

#4296

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Machine Learning

#699

World Rank

#709

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Artificial Intelligence

#899

World Rank

#916

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Database

#1318

World Rank

#1390

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computer-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

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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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