Samy Bengio

Q: What Schools Are Affiliated With Samy Bengio

Samy Bengio is affiliated with the following schools: McGill University, Université de Montréal

Samy Bengio's AcademicInfluence.com Rankings

Samy Bengio

Computer Science

#321

World Rank

#334

Historical Rank

Machine Learning

#36

World Rank

#36

Historical Rank

Artificial Intelligence

#67

World Rank

#70

Historical Rank

Database

#658

World Rank

#689

Historical Rank

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Computer Science

Samy Bengio's Degrees

PhD Computer Science McGill University
Masters Computer Science McGill University
Bachelors Computer Science McGill University

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Why Is Samy Bengio Influential?

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According to Wikipedia, Samy Bengio is a Canadian computer scientist, Senior Director of AI and Machine Learning Research at Apple, and a former long-time scientist at Google known for leading a large group of researchers working in machine learning including adversarial settings. Bengio left Google shortly after the company fired his report, Timnit Gebru, without first notifying him. At the time, Bengio said that he had been "stunned" by what happened to Gebru. He is also among the three authors who developed Torch in 2002, the ancestor of PyTorch, one of today's two largest machine learning frameworks.

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Samy Bengio'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

Show and tell: A neural image caption generator (2014) (5101)
Adversarial examples in the physical world (2016) (4166)
Understanding deep learning requires rethinking generalization (2016) (3984)
Density estimation using Real NVP (2016) (2387)
Adversarial Machine Learning at Scale (2016) (2337)
DeViSE: A Deep Visual-Semantic Embedding Model (2013) (2243)
Generating Sentences from a Continuous Space (2015) (1990)
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks (2015) (1618)
Tacotron: Towards End-to-End Speech Synthesis (2017) (1336)
SVMTorch: Support Vector Machines for Large-Scale Regression Problems (2001) (1010)
Neural Combinatorial Optimization with Reinforcement Learning (2016) (929)
Zero-Shot Learning by Convex Combination of Semantic Embeddings (2013) (855)
Order Matters: Sequence to sequence for sets (2015) (791)
WSABIE: Scaling Up to Large Vocabulary Image Annotation (2011) (784)
Understanding deep learning (still) requires rethinking generalization (2021) (737)
Large Scale Online Learning of Image Similarity Through Ranking (2009) (735)
Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge (2016) (719)
Revisiting Distributed Synchronous SGD (2016) (684)
Transfusion: Understanding Transfer Learning for Medical Imaging (2019) (666)
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks (2019) (663)
Sharp Minima Can Generalize For Deep Nets (2017) (566)
Torch: a modular machine learning software library (2002) (541)
The BANCA Database and Evaluation Protocol (2003) (508)
End-to-end text-dependent speaker verification (2015) (459)
The Vehicle Routing Problem with Time Windows Part II: Genetic Search (1996) (452)
Large scale image annotation: learning to rank with joint word-image embeddings (2010) (445)
The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training (2009) (427)
A Parallel Mixture of SVMs for Very Large Scale Problems (2001) (424)
Automatic analysis of multimodal group actions in meetings (2005) (423)
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML (2019) (418)
Large-Scale Object Classification Using Label Relation Graphs (2014) (418)
Tensor2Tensor for Neural Machine Translation (2018) (410)
Label Embedding Trees for Large Multi-Class Tasks (2010) (365)
Fantastic Generalization Measures and Where to Find Them (2019) (359)
Device Placement Optimization with Reinforcement Learning (2017) (357)
Advances in Neural Information Processing Systems 31 (2018) (354)
A Discriminative Kernel-Based Approach to Rank Images from Text Queries (2008) (335)
Offline recognition of unconstrained handwritten texts using HMMs and statistical language models (2004) (330)
Learning to Remember Rare Events (2017) (316)
Links between perceptrons, MLPs and SVMs (2004) (313)
Semi-supervised adapted HMMs for unusual event detection (2005) (309)
A Study on Overfitting in Deep Reinforcement Learning (2018) (294)
Learning a synaptic learning rule (1991) (292)
Insights on representational similarity in neural networks with canonical correlation (2018) (291)
Unsupervised Speech Representation Learning Using WaveNet Autoencoders (2019) (283)
On the Optimization of a Synaptic Learning Rule (2007) (253)
Special Uses and Abuses of the Fiat-Shamir Passport Protocol (1987) (247)
Adversarial Attacks and Defences Competition (2018) (234)
Group Sparse Coding (2009) (222)
The Need for Open Source Software in Machine Learning (2007) (219)
Large Margin Deep Networks for Classification (2018) (216)
Reward Augmented Maximum Likelihood for Neural Structured Prediction (2016) (211)
Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model (2017) (207)
Database, protocols and tools for evaluating score-level fusion algorithms in biometric authentication (2006) (201)
Modeling individual and group actions in meetings with layered HMMs (2006) (187)
Fast Decoding in Sequence Models using Discrete Latent Variables (2018) (185)
A statistical significance test for person authentication (2004) (168)
Predicting the Generalization Gap in Deep Networks with Margin Distributions (2018) (157)
Word embeddings for speech recognition (2014) (142)
Modeling High-Dimensional Discrete Data with Multi-Layer Neural Networks (1999) (135)
Local collaborative ranking (2014) (135)
Face authentication test on the BANCA database (2004) (134)
Detecting group interest-level in meetings (2005) (133)
User authentication via adapted statistical models of face images (2006) (131)
Modeling human interaction in meetings (2003) (131)
Context-Aware Captions from Context-Agnostic Supervision (2017) (130)
Discriminative keyword spotting (2009) (128)
Are All Layers Created Equal? (2019) (123)
An Online Algorithm for Large Scale Image Similarity Learning (2009) (115)
Delay learning and polychronization for reservoir computing (2008) (111)
A Discriminative Kernel-based Model to Rank Images from Text Queries (2007) (109)
Learning semantic relationships for better action retrieval in images (2015) (108)
An Online Sequence-to-Sequence Model Using Partial Conditioning (2015) (103)
Modeling Individual and Group Actions in Meetings: A Two-Layer HMM Framework (2004) (103)
HMM and IOHMM modeling of EEG rhythms for asynchronous BCI systems (2004) (101)
Large-scale content-based audio retrieval from text queries (2008) (100)
Face Verification Competition on the XM2VTS Database (2003) (100)
Taking on the curse of dimensionality in joint distributions using neural networks (2000) (97)
The Handbook of Brain Theory and Neural Networks (2002) (96)
The Expected Performance Curve (2003) (96)
Characterising Bias in Compressed Models (2020) (93)
Content preserving text generation with attribute controls (2018) (93)
Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods (2009) (91)
PRIME: probabilistic initial 3D model generation for single-particle cryo-electron microscopy. (2013) (90)
LLORMA: Local Low-Rank Matrix Approximation (2016) (90)
How do correlation and variance of base-experts affect fusion in biometric authentication tasks? (2005) (86)
Transfusion: Understanding Transfer Learning with Applications to Medical Imaging (2019) (86)
The expected performance curve: a new assessment measure for person authentication (2004) (85)
Training highly multiclass classifiers (2014) (82)
Secure implementation of identification systems (2004) (78)
Confidence measures for multimodal identity verification (2002) (78)
Improving Fusion with Margin-Derived Confidence in Biometric Authentication Tasks (2005) (75)
On transforming statistical models for non-frontal face verification (2006) (73)
Face verification using adapted generative models (2004) (73)
You Look Twice: GaterNet for Dynamic Filter Selection in CNNs (2018) (70)
Sound Retrieval and Ranking Using Sparse Auditory Representations (2010) (68)
A Probabilistic Model for Chord Progressions (2005) (65)
A comparative study of adaptation methods for speaker verification (2002) (60)
A multi-sample multi-source model for biometric authentication (2002) (60)
Improving face authentication using virtual samples (2003) (59)
Improving face verification using skin color information (2002) (59)
Measuring the performance of face localization systems (2006) (57)
Identity Crisis: Memorization and Generalization under Extreme Overparameterization (2019) (57)
Automatic Speech and Speaker Recognition (2009) (55)
Use of genetic programming for the search of a new learning rule for neural networks (1994) (55)
Local Machine Learning Models for Spatial Data Analysis (2000) (54)
A Probabilistic Interpretation of SVMs with an Application to Unbalanced Classification (2005) (53)
Can Active Memory Replace Attention? (2016) (52)
Learning Influence among Interacting Markov Chains (2005) (51)
Face Authentication Competition on the BANCA Database (2004) (50)
Multimodal speech processing using asynchronous Hidden Markov Models (2004) (49)
Time-Dependent Representation for Neural Event Sequence Prediction (2017) (48)
Writer Identification for Smart Meeting Room Systems (2006) (48)
Automatic speech recognition using dynamic bayesian networks with both acoustic and articulatory variables (2000) (48)
Multi-Tasking with Joint Semantic Spaces for Large-Scale Music Annotation and Retrieval (2011) (47)
Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need (2019) (47)
A Neural Transducer (2015) (46)
Variance Reduction Techniques in . . . (2003) (45)
Learning the decision function for speaker verification (2001) (44)
Probabilistic Melodic Harmonization (2006) (43)
Scaling Large Learning Problems with Hard Parallel Mixtures (2002) (42)
Towards Computer Understanding of Human Interactions (2003) (42)
Writer adaptation techniques in HMM based Off-Line Cursive Script Recognition (2002) (41)
N-gram Language Modeling using Recurrent Neural Network Estimation (2017) (40)
A unified framework for score normalization techniques applied to text-independent speaker verification (2005) (39)
Discrete Autoencoders for Sequence Models (2018) (39)
Posterior based keyword spotting with a priori thresholds (2006) (38)
An Asynchronous Hidden Markov Model for Audio-Visual Speech Recognition (2002) (38)
Multimodal Authentication Using Asynchronous HMMs (2003) (38)
Offline recognition of large vocabulary cursive handwritten text (2003) (37)
F-ratio client dependent normalisation for biometric authentication tasks (2005) (37)
Evaluation of Biometric Technology on XM2VTS (2001) (34)
Boosting HMMs with an application to speech recognition (2004) (34)
Multimodal group action clustering in meetings (2004) (34)
On the search for new learning rules for ANNs (1995) (33)
HMM2- Extraction of Formant Features and their Use for Robust ASR (2001) (33)
Robust speech recognition and feature extraction using HMM2 (2003) (33)
Why do multi-stream, multi-band and multi-modal approaches work on biometric user authentication tasks? (2004) (33)
Guest Editors' Introduction: Special Section on Learning Deep Architectures (2013) (32)
Evaluation of formant-like features on an automatic vowel classification task. (2004) (32)
A kernel trick for sequences applied to text-independent speaker verification systems (2007) (32)
On the prediction of solar activity using different neural network models (1996) (32)
Performance Generalization in Biometric Authentication Using Joint User-Specific and Sample Bootstraps (2007) (32)
An EM Algorithm for Asynchronous Input/Output Hidden Markov Models (1996) (31)
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning (2020) (31)
Can Chimeric Persons Be Used in Multimodal Biometric Authentication Experiments? (2005) (31)
Spectral Subband Centroids as Complementary Features for Speaker Authentication (2004) (30)
Can a Professional Imitator Fool a GMM-Based Speaker Verification System? (2005) (29)
Offline cursive word recognition using continuous density hidden Markov models trained with PCA or ICA features (2002) (29)
Multi-modal audio-visual event recognition for football analysis (2003) (29)
Predicting Human Performance in Vertical Menu Selection Using Deep Learning (2018) (29)
A Study of the Effects of Score Normalisation Prior to Fusion in Biometric Authentication Tasks (2004) (28)
Revisiting Doddington"s Zoo: A Systematic Method to Assess User-dependent Variabilities (2006) (28)
Towards using hierarchical posteriors for flexible automatic speech recognition systems (2004) (28)
Non-Linear Variance Reduction Techniques in Biometric Authentication (2003) (28)
Kernel matching pursuit for large datasets (2005) (28)
Neural Networks Trained on Natural Scenes Exhibit Gestalt Closure (2021) (27)
An Investigation of F-ratio Client-Dependent Normalisation on Biometric Authentication Tasks (2004) (27)
Do Neural Networks Show Gestalt Phenomena? An Exploration of the Law of Closure (2019) (27)
Theme Topic Mixture Model: A Graphical Model for Document Representation (2004) (27)
Online adaptive policies for ensemble classifiers (2005) (26)
Discriminative kernel-based phoneme sequence recognition (2006) (26)
A Discriminative Approach for the Retrieval of Images from Text Queries (2006) (25)
Sharing Representations for Long Tail Computer Vision Problems (2015) (25)
Experimental Protocol on the BANCA Database (2002) (25)
Robust Features for Frontal Face Authentication in Difficult Image Conditions (2003) (25)
Extreme Classification (Dagstuhl Seminar 18291) (2018) (25)
ADIOS: Architectures Deep In Output Space (2016) (24)
HMM2- a novel approach to HMM emission probability estimation (2000) (24)
Using Chimeric Users to Construct Fusion Classifiers in Biometric Authentication Tasks: An Investigation (2006) (23)
Phoneme-grapheme based speech recognition system (2003) (23)
Joint decoding for phoneme-grapheme continuous speech recognition (2004) (23)
Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding (2021) (23)
A graphical model for chord progressions embedded in a psychoacoustic space (2005) (22)
Tangent vector kernels for invariant image classification with SVMs (2004) (22)
Hybrid generative-discriminative models for speech and speaker recognition (2002) (22)
HMM2- extraction of formant structures and their use for robust ASR (2001) (22)
Large-Scale Music Annotation and Retrieval: Learning to Rank in Joint Semantic Spaces (2011) (21)
A Neural Network for Text Representation (2005) (21)
Conditional Gaussian mixture models for environmental risk mapping (2002) (20)
Client Dependent GMM-SVM Models for Speaker Verification (2003) (20)
Speech & face based biometric authentication at IDIAP (2003) (20)
An EM Algorithm for HMMs with Emission Distributions Represented by HMMs (2000) (20)
Estimating the quality of face localization for face verification (2004) (19)
Hidden Markov Models and other Finite State Automata for Sequence Processing (2002) (19)
Using Web Co-occurrence Statistics for Improving Image Categorization (2013) (18)
Semi-supervised meeting event recognition with adapted HMMs (2005) (18)
Semi-Supervised Kernel Methods for Regression Estimation (2006) (18)
GaterNet: Dynamic Filter Selection in Convolutional Neural Network via a Dedicated Global Gating Network (2018) (18)
Predictive models for music (2009) (17)
On Using Backpropagation for Speech Texture Generation and Voice Conversion (2017) (17)
Parallel Scheduled Sampling (2019) (17)
Area Attention (2018) (17)
Biometric Person Authentication Is a Multiple Classifier Problem (2007) (16)
Probabilistic models for melodic prediction (2009) (16)
Speech recognition using advanced HMM2 features (2001) (15)
Secure Implementations of Identification Systems (1991) (15)
Exploiting Hyperlinks to Learn a Retrieval Model (2005) (15)
A Score-Level Fusion Benchmark Database for Biometric Authentication (2005) (15)
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards (2020) (15)
Estimating the Confidence Interval of Expected Performance Curve in Biometric Authentication using Joint Bootstrap (2007) (15)
A Generative Model for Rhythms (2007) (15)
A supervised learning approach based on STDP and polychronization in spiking neuron networks (2007) (15)
Investigating Lexical Substitution Scoring for Subtitle Generation (2006) (14)
Inferring document similarity from hyperlinks (2005) (14)
Using More Informative Posterior Probabilities for Speech Recognition (2006) (14)
A Neural Network to Retrieve Images from Text Queries (2006) (14)
Scalability Analysis of Audio-Visual Person Identity Verification (2003) (13)
Sound Ranking Using Auditory Sparse-Code Representations (2009) (13)
EER of Fixed and Trainable Fusion Classifiers: A Theoretical Study with Application to Biometric Authentication Tasks (2005) (13)
Noise-robust multi-stream fusion for text-independent speaker authentication (2004) (13)
Generalization of a Parametric Learning Rule (1993) (13)
Invariances in kernel methods: From samples to objects (2006) (13)
Benchmarking Non-Parametric Statistical Tests (2005) (13)
A gentle Hessian for efficient gradient descent (2004) (13)
A Pragmatic View of the Application of HMM2 for ASR (2001) (12)
Developing and enhancing posterior based speech recognition systems (2005) (12)
Use of modular architectures for time series prediction (1996) (12)
An Investigation of Spectral Subband Centroids for Speaker Authentication (2003) (11)
Efficient Exploration with Self-Imitation Learning via Trajectory-Conditioned Policy (2019) (11)
Improving Single Modal and Multimodal Biometric Authentication Using F-ratio Client-Dependent Normalisation (2004) (10)
Kernel Based Text-Independnent Speaker Verification (2009) (10)
On the Convergence of SVMTorch, an Algorithm for Large-Scale Regression Problems (2000) (10)
A New Speech Recognition Baseline System for Numbers 95 Version 1.3 Based on Torch (2004) (10)
Extracting information from multimedia meeting collections (2005) (9)
Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning (2020) (9)
Evidences of Equal Error Rate Reduction in Biometric Authentication Fusion (2004) (9)
Comparison of four machine learning algorithms for spatial data analysis (2003) (9)
Statistical transformations of frontal models for non-frontal face verification (2004) (9)
Evaluation of formant-like features for ASR (2002) (9)
Modeling Interactions from Email Communication (2006) (9)
The MNIST Database of Handwritten upper-case letters (2002) (9)
STATISTICAL TRANSFORMATION TECHNIQUES FOR FACE VERIFICATION USING FACES ROTATED IN DEPTH (2004) (9)
Towards Predicting Optimal Subsets of Base-Experts in Biometric Authentication Task (2004) (9)
Writer adaptation techniques in off-line cursive word recognition (2002) (8)
Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization (2021) (8)
Self-Imitation Learning via Trajectory-Conditioned Policy for Hard-Exploration Tasks (2019) (8)
On accuracy/robustness/complexity trade-offs in face verification (2005) (8)
Extrapolating single view face models for multi-view recognition (2004) (8)
Hierarchical Multi-stream Posterior Based Speech Recognition System (2005) (7)
Phoneme and Sentence-Level Ensembles for Speech Recognition (2011) (7)
An Alternative To Silence Removal For Text-Independent Speaker Verification (2003) (7)
Online policy adaptation for ensemble classifiers (2004) (7)
Multi Channel Sequence Processing (2004) (7)
IDIAP HMM/HMM2 System: Theoretical Basis and Software Specifications (2001) (6)
Learning the inter-frame distance for discriminative template-based keyword detection (2007) (6)
Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders (2020) (6)
Machine Learning for Multimodal Interaction, First International Workshop,MLMI 2004, Martigny, Switzerland, June 21-23, 2004, Revised Selected Papers (2004) (6)
A Bayesian Framework for Score Normalization Techniques Applied to Text Independent Speaker Verification (2004) (6)
On automatic annotation of meeting databases (2003) (6)
Topic Mixture Model for Document Representation (2005) (6)
A Multitask Learning Approach to Document Representation using Unlabeled Data (2006) (6)
A State-of-the-art Neural Network for Robust Face Verification (2002) (6)
Graph-based transformation manifolds for invariant pattern recognition with kernel methods (2006) (6)
Towards Predicting Optimal Fusion Candidates: A Case Study on Biometric Authentication Tasks (2004) (6)
New Approaches Towards Robust and Adaptive Speech Recognition (2000) (6)
Compensating User-Specific Information with User-Independent Information in Biometric Authentication Tasks (2005) (5)
A Margin-Based Measure of Generalization for Deep Networks (2019) (5)
A Novel Approach to Combining Client-Dependent and Confidence Information in Multimodal Biometrics (2005) (5)
A distance model for rhythms (2008) (5)
Increasing Speech Recognition Noise Robustness with HMM2 (2001) (5)
Shared Context Probabilistic Transducers (1997) (5)
A Max Kernel For Text-Independent Speaker Verification Systems (2006) (5)
Boosting word error rates (2005) (4)
A Kernel Classifier for Distributions (2005) (4)
Interpretable Deep Generative Recommendation Models (2021) (4)
Towards Explaining the Success (Or Failure) of Fusion in Biometric Authentication (2005) (4)
Learning to Retrieve Images from Text Queries with a Discriminative Model (2006) (4)
ADAPTED GENERATIVE MODELS FOR FACE VERIFICATION (2003) (4)
Variance Reduction Techniques in Biometric Authentication (2003) (4)
A Discriminative Kernel-based Approach to Retrieval Images from Text Queries (2008) (4)
Evaluation of formant-like features for automatic speech recognition 1 (2003) (4)
Augmenting Frontal Face Models for Non-Frontal Verification (2003) (4)
The BANCA Database and Experimental Protocol for Speaker Verification (2002) (4)
Balancing information exposure in social networks (2018) (3)
Stochastic Learning of Strategic Equilibria for Auctions (1999) (3)
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures (2022) (3)
Comparison of Client Model Adaptation Schemes (2001) (3)
Improving Kernel Classifiers for Object Categorization Problems (2005) (3)
Estimates of Parameter Distributions for Optimal Action Selection (2004) (3)
MIREX SPECIAL TAGATUNE EVALUATION SUBMISSION (2009) (3)
Data Augmentation via Structured Adversarial Perturbations (2020) (3)
Towards Robust and Adaptive Speech Recognition Models (2002) (3)
Machine Learning for Automatic Environmental Mapping : When and How (2005) (3)
Offline Recognition of Unconstrained Handwritten . . . (2003) (3)
A Generative Model for Distance Patterns in Music (2007) (3)
Modeling interactions from email communications (2006) (2)
FANTASTIC GENERALIZATION MEASURES (2020) (2)
Gradient estimates of return (2005) (2)
Meeting Data Collection Specifications (2003) (2)
Chord Representations for Probabilistic Models (2005) (2)
Face Verification Using Synthesized Non-Frontal Models (2003) (2)
Nonlinear Analysis of Cognitive and Motor-related EEG Signals (2003) (2)
Joint Training of Multi-Stream HMMs (2005) (2)
Significance Tests for \em Bizarre Measures in 2-Class Classification Tasks (2004) (2)
Efficient Learning of Sparse Ranking Functions (2013) (2)
Training Highly Multi-class Linear Classifiers (2014) (2)
A Discriminative Decoder for the Recognition of Phoneme Sequences (2005) (2)
Perspectives on predictive power of multimodal deep learning: surprises and future directions (2018) (1)
Web Scale Image Annotation: Learning to Rank with Joint Word-Image Embeddings (2010) (1)
USER AUTHENTICATION VIA ADAPTED GENERATIVE MODELS OF FACE IMAGES (2004) (1)
Proceedings of the Second international conference on Machine Learning for Multimodal Interaction (2005) (1)
A New Margin-Based Criterion for Efficient Gradient Descent (2003) (1)
IDIAP-RR 01-24 Speech Recognition Using Advanced HMM 2 Features (1998) (1)
Machine Learning for Multimodal Interaction, Third International Workshop, MLMI 2006, Bethesda, MD, USA, May 1-4, 2006, Revised Selected Papers (2006) (1)
12 Kernel Based Text-Independnent Speaker Verification (2008) (1)
A Comparison of Adaptation Methods for Speaker Verification (2001) (1)
IDIAP Martigny-Valais-Suisse CONFIDENCE MEASURES FOR MULTIMODAL IDENTITY VERIFICATION (2002) (1)
Exploring Contextual Information in a Layered Framework for Group Action Recognition (2007) (1)
Introduction to the Issue on Statistical Learning Methods for Speech and Language Processing (2010) (1)
Sharp Minima Can Generalize For Deep Nets Supplementary Material (2017) (1)
Multimodal authentication using . . . (2003) (1)
04-58 TOWARDS USING HIERARCHICAL POSTERIORS FOR FLEXIBLE AUTOMATIC SPEECH RECOGNITION SYSTEMS (2004) (1)
Graph-based transformation manifolds for invariant pattern recognition with kernel methods (2006) (1)
Online Policy Adaptation for Ensemble Algorithms (2002) (1)
A Neural Network to Detect Homologies in Proteins (1989) (1)
Telephone Conversation Speaker Diarization Using Mealy-HMMs (2014) (1)
Dynamical Resource Reservation Scheme in an ATM Network Using Neural Network-Based Traffic Prediction (1997) (1)
Surprising Outcome While Benchmarking Statistical Tests (2005) (1)
Increasing speech recognition robustness with HMM2 (2002) (1)
Introduction to NIPS 2017 Competition Track (2018) (1)
Continuous Pseudo-Labeling from the Start (2022) (1)
Neural networks for signal processing XII : proceedings of the 2002 IEEE Signal Processing Society Workshop : twelfth in a series of workshops (2002) (1)
Noise Robust Discriminative Models (2003) (1)
Gradient estimates of return distributions (2005) (0)
Con dence Measures for Multimodal Identity Veri cation ? (2003) (0)
Sequence Classification with Input-Output Hidden Markov Models (2004) (0)
IZATION UNDER EXTREME OVERPARAMETERIZATION (2020) (0)
Online Policy Adaption for Ensemble Algorithms (2002) (0)
IDIAP-RR 01-23 A Pragmatic View of the Application of HMM 2 for ASR (1998) (0)
Generalization of a Parametric LearningRule (1993) (0)
Perturbing BatchNorm and Only BatchNorm Benefits Sharpness-Aware Minimization (2022) (0)
AUTOMATIC SPEECH RECOGNITION USING DYNAMICBAYESIAN NETWORKS WITH BOTH ACOUSTIC ANDARTICULATORY (2000) (0)
Transforming the feature vectors to improve HMM based cursive word recognition systems (2002) (0)
A MULTI-SAMPLE MULTI-SOURCE MODEL FO R B I 0 M ET R I C AUT H ENT I CAT I 0 N (2002) (0)
Investigating Lexical Substitution Scoring for Subtitle Generation Investigating Lexical Substitution Scoring for Subtitle Generation (2006) (0)
Statistical Machine Learning from Data - References - (2006) (0)
Appreciation to IJCV Reviewers of 2016 (2016) (0)
08-50 Probabilistic Models for Melodic Prediction (2008) (0)
INTERACTING MARKOV CHAINS (2005) (0)
Martigny-Valais-Suisse HIDDEN MARKOV MODELS AND OTHER FINITE STATE AUTOMATA FOR SEQUENCEPROCESSING (2001) (0)
The Traditional Approach to Speech Processing (2008) (0)
UvA-DARE (Digital Academic Repository) Causal Effect Inference with Deep Latent-Variable Models Causal Effect Inference with Deep Latent-Variable Models (2017) (0)
Martigny-Valais-Suisse TOWARDS ROBUST AND ADAPTIVE SPEECHRECOGNITION MODELS (2003) (0)
Speech & Face Based Biometric Authentication at Idiap Speech & Face Based Biometric Authentication at Idiap (2003) (0)
Offline Recognition of Large Vocabulary . . . (2003) (0)
From Samples to Objects in Kernel Methods (2003) (0)
On the Optimization of a Synaptic LearningRuleSamy (1997) (0)
Improving Face Authentication Using (2002) (0)
Kernel For Text-Independent Speaker Verification Systems (2006) (0)
On Performance / Robustness / Complexity Trade-Offs in Face Verification (2004) (0)
Bayesian Compression for Deep Learning (2017) (0)
RESEARCH ARTICLE Predictive Models for Music (2008) (0)
2 Brute-Force Experimenting Versus Analytical Solution To Predicting Optimal Fusion Candidates (0)
11 Discriminative Keyword Spotting (2008) (0)
Textual Data Representation (2003) (0)
Continuous Soft Pseudo-Labeling in ASR (2022) (0)
FACE BASED BIOMETRIC AUTHENTICATION AT IDIAP (2003) (0)
Transforming the Feature Vectors to Improve HMM . . . (2002) (0)
Large Scale Learning of a Joint Embedding Space (2014) (0)
Pump-priming PASCAL proposal : Large Margin Algorithms and Kernel Methods for Speech Applications (2004) (0)
MULTIMEDIA MEETING COLLECTIONS (2005) (0)
Face Recognition Algorithm based on Doubly Truncated Gaussian Mixture Model using DCT Coefficients (2020) (0)
Method for communication ongoing renegotiation of the parameters of a traffic contract of a network atm (1996) (0)
Training cascaded networks for speeded decisions using a temporal-difference loss (2021) (0)
Secure Implementation of Identification Systems 1 (1991) (0)
Generalization on the Unseen, Logic Reasoning and Degree Curriculum (2023) (0)
Tangent Vector Kernels for Invariant Image . . . (2003) (0)
Statistical Machine Learning for HCI (2010) (0)
Multimodal Group Action Clustering in Meetings Multimodal Group Action Clustering in Meetings (2004) (0)
EVALUATION OF FORMANT-LIKE FEATURES FOR ASR IDIAP-RR 02-04 EVALUATION OF FORMANT-LIKE FEATURES FOR ASR (2002) (0)
New Approaches Towards Robust, Adaptive Speech Recognition (invited paper) (2000) (0)
Con den e Measures for Multimodal IdentityVeri ation ? (2002) (0)
Towards Robust and Adaptive Speech Recognition Models towards Robust and Adaptive Speech Recognition Models (2002) (0)
UvA-DARE (Digital Academic Repository) Causal Effect Inference with Deep Latent-Variable Models (2017) (0)
Estimation of Conditional Distributions using Gaussian Mixture Models (2002) (0)
Ju n 20 17 Device Placement Optimization with Reinforcement Learning (2017) (0)
A Closed-Form Learned Pooling for Deep Classification Networks (2019) (0)
A Coordinate Descent Algorithm for Learning Compact Ranking Functions (2010) (0)

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