It appears in the form of an anthology, a compilation of texts of a variety of forms that are all linked by the belief that they are collectively revelations of God. ", "Majority of Chinese-Canadians say they've experienced discrimination because of COVID-19: study", "Blame, bullying and disrespect: Chinese Canadians reveal their experiences with racism during COVID-19", "Almost One Third Of Chinese Canadians Report Being Physically Attacked During COVID-19", "Hate crimes up 97% overall in Vancouver last year, anti-Asian hate crimes up 717%", "Man arrested for alleged racial attack on Calgary woman", "Vancouver's Chinese-Canadian businesses report up to 70% business drop amid virus fears", "Video captures Burnaby man threatened in racist tirade on TransLink bus", "Anti-Asian hate crime incidents rose by 878% compared to last year, Vancouver police report says", "Chinese in Canada a target of increased hate during pandemic", "Chinese restaurants in GTA see large drop in sales in weeks after coronavirus outbreak", "Canada's Chinese community faces racist abuse in wake of coronavirus", "Ontario school board concerned parents' petition prompted by coronavirus fears could stoke racism", "UW professor apologizes for anti-Chinese posts on social media", "Woman caught on video attacking Shoppers Drug Mart employee in Toronto", "Montreal police suspect hate-crimes after vandals hit Buddhist temples, Chinatown", "Dozens of statues and religious artifacts vandalized - Video - CityNews Montreal", "COVID-19: Korean consulate issues warning after violent attacks in Montreal", "Inuit getting caught up in anti-Asian hate crimes in Montreal, advocates say - APTN NewsAPTN News", "Anti-Asian racism in Montreal rose dramatically in 2020; worrying trend, says City Hall", "Hutterites face COVID-19 stigma across the Prairies, says author who grew up on Manitoba colony", "Coronavirus: Hutterian Safety Council asks province to stop 'outing' infected colonies", "Hutterites debate whether Sask. To Supervise or Not To Supervise: How to Effectively Learn Wireless Interference Management Models? 量无损曲库、正版音乐下载、空间背景音乐设置、mv观看等，是互联网音乐播放和下载的优选。 Amazon.com Books has the world’s largest selection of new and used titles to suit any reader's tastes. A must-read for English-speaking expatriates and internationals across Europe, Expatica provides a tailored local news service and essential information on living, working, and moving to your country of choice. "Japanese jazz pianist recovering from surgery after New York subway attack", "Attackers pummel maskless woman, spew anti-Asian remarks on subway", "Man makes anti-Asian comments, punches woman on Manhattan street: police", "As attacks against Asian Americans spike, advocates call for action to protect communities", "NYC Woman Gets Half Dozen Stitches in Latest Attack Against Asian Americans: Family", "Man arrested after Asian man critically injured in Chinatown stabbing: NYPD", "Real estate agent's sign spray-painted with ethnic slur aimed at people of Chinese descent", "Donald Trump calls Covid-19 'kung flu' at Tulsa rally", "Trump continues to call coronavirus 'Chinese virus' in spite of hate crime risks", "White House Defends Trump's Use Of Racist Term To Describe Coronavirus", "On virus, Trump uses phrase even the White House considers offensive", "Man accused of kicking Asian-American woman, racial slurs while on bus", "Yelp forced to turn off local bar reviews after 'China Virus' sign causes uproar", "Restaurants in the Jade District Have Windows Smashed as Wave of Vandalism Hits Asian-Owned Businesses", "Video allegedly shows group assaulting couple on Philly subway platform", "I didn't want to write about coronavirus and racism. Estimation du changement de règle (9000 hab) Estimation élaborée le 17 Janvier 2020, la règle a subi plusieurs modifications depuis mais donne idée de l'impact du changement En attendant les publications des données sur les élections municipales, je vous propose de découvrir l'impact du changement des règles pour les élections municipales 2020. La preside: "Ha voluto stringere le mani ai bambini, "U.N. asks world to fight virus-spawned discrimination", "More than 200 civil rights groups demand Congress publicly reject coronavirus racism", "Report COVID-19 Related Harassment, Discrimination, and Bigotry", "A 'CHINESE CORONAVIRUS'? SPEAKING RATE AND TONAL REALIZATION IN MANDARIN CHINESE: WHAT CAN WE LEARN FROM LARGE SPEECH CORPORA? Job interview questions and sample answers list, tips, guide and advice. BibleThe Bible is a collection of religious texts or scriptures sacred to Christians, Jews, Samaritans, Rastafari and others. 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CLASSIFICATION, AUTOMATIC REGISTRATION AND CONVEX CLUSTERING OF TIME SERIES, AUTOREGRESSIVE FAST MULTICHANNEL NONNEGATIVE MATRIX FACTORIZATION FOR JOINT BLIND SOURCE SEPARATION AND DEREVERBERATION, AUTO-TUNING SPECTRAL CLUSTERING FOR SPEAKER DIARIZATION USING NORMALIZED MAXIMUM EIGENGAP, BACKDOOR ATTACK AGAINST SPEAKER VERIFICATION, BAITRADAR: A MULTI-MODEL CLICKBAIT DETECTION ALGORITHM USING DEEP LEARNING, BanRAW: Band-Limited Radar Waveform Design via Phase Retrieval, BAYESIAN ESTIMATION OF A TAIL-INDEX WITH MARGINALIZED THRESHOLD, BAYESIAN MULTIPLE CHANGE-POINT DETECTION OF PROPAGATING EVENTS, BAYESIAN TRANSFORMER LANGUAGE MODELS FOR SPEECH RECOGNITION, BAYES-OPTIMAL METHODS FOR FINDING THE SOURCE OF A CASCADE, Beam Focusing for Multi-User MIMO Communications with Dynamic Metasurface Antennas, BEAMFORMING FOR BIDIRECTIONAL MIMO FULL DUPLEX UNDER THE JOINT SUM POWER AND PER ANTENNA POWER CONSTRAINTS, Benign overfitting in binary classification of Gaussian mixtures, BI-APC: BIDIRECTIONAL AUTOREGRESSIVE PREDICTIVE CODING FOR UNSUPERVISED PRE-TRAINING AND ITS APPLICATION TO CHILDREN’S ASR, BIDIRECTIONAL FOCUSED SEMANTIC ALIGNMENT ATTENTION NETWORK FOR CROSS-MODAL RETRIEVAL, BIFOCAL RNN-T: EXPLOITING KEYWORD SPOTTING FOR ASR INFERENCE OPTIMIZATION, BI-LEVEL STYLE AND PROSODY DECOUPLING MODELING FOR PERSONALIZED END-TO-END SPEECH SYNTHESIS, BINARY CONTROL AND DIGITAL-TO-ANALOG CONVERSION USING COMPOSITE NUV PRIORS AND ITERATIVE GAUSSIAN MESSAGE PASSING, Bit Constrained Communication Receivers in Joint Radar Communications Systems, BLEND-RES^2NET: BLENDED REPRESENTATION SPACE BY TRANSFORMATION OF RESIDUAL MAPPING WITH RESTRAINED LEARNING FOR TIME SERIES CLASSIFICATION, BLIND AMPLITUDE ESTIMATION OF EARLY ROOM REFLECTIONS USING ALTERNATING LEAST SQUARES, BLIND AND NEURAL NETWORK-GUIDED CONVOLUTIONAL BEAMFORMER FOR JOINT DENOISING, DEREVERBERATION, AND SOURCE SEPARATION, Blind Carbon Copy on Dirty Paper: Seamless Spectrum Underlay via Canonical Correlation Analysis, Blind Deinterleaving of Signals in Time Series with Self-attention Based Soft Min-cost Flow Learning, BLIND EXTRACTION OF MOVING AUDIO SOURCE IN A CHALLENGING ENVIRONMENT SUPPORTED BY SPEAKER IDENTIFICATION VIA X-VECTORS, Blind Extraction of Moving Sources via Independent Component and Vector Analysis: Examples, BLIND IMAGE QUALITY EVALUATOR WITH SCALE ROBUSTNESS, Blind Sound Source Localization based on Deep Learning, BLOCK KALMAN FILTER: AN ASYMPTOTIC BLOCK PARTICLE FILTER IN THE LINEAR GAUSSIAN CASE, BLSTM-BASED CONFIDENCE ESTIMATION FOR END-TO-END SPEECH RECOGNITION, Bluetooth Low Energy and CNN-based Angle of Arrival Localization in Presence of Rayleigh Fading, BOOSTING LOW-RESOURCE INTENT DETECTION WITH IN-SCOPE PROTOTYPICAL NETWORKS, Branchy-GNN: a Device-Edge Co-Inference Framework for Efficient Point Cloud Processing, Bridging Unpaired Facial Photos and Sketches by Line-drawings, B-SMALL: A BAYESIAN NEURAL NETWORK APPROACH TO SPARSE MODEL-AGNOSTIC META-LEARNING, BW-EDA-EEND: STREAMING END-TO-END NEURAL SPEAKER DIARIZATIONFOR A VARIABLE NUMBER OF SPEAKERS, BYRDIE: BYZANTINE-RESILIENT DISTRIBUTED COORDINATE DESCENT FOR DECENTRALIZED LEARNING, BYTECOVER: COVER SONG IDENTIFICATION VIA MULTI-LOSS TRAINING, Byzantine-Resilient Decentralized TD Learning with Linear Function Approximation, CAMP: A TWO-STAGE APPROACH TO MODELLING PROSODY IN CONTEXT, CANET: CONTEXT-AWARE LOSS FOR DESCRIPTOR LEARNING, Canonical Polyadic Tensor Decomposition with Low-Rank Factor Matrices, CAPTURING BANDING IN IMAGES: DATABASE CONSTRUCTION AND OBJECTIVE ASSESSMENT, CAPTURING MULTI-RESOLUTION CONTEXT BY DILATED SELF-ATTENTION, CAPTURING TEMPORAL DEPENDENCIES THROUGH FUTURE PREDICTION FOR CNN-BASED AUDIO CLASSIFIERS, Cascade Attention Fusion for Fine-grained Image Captioning based on Multi-layer LSTM, CASCADED ALL-PASS FILTERS WITH RANDOMIZED CENTER FREQUENCIES AND PHASE POLARITY FOR ACOUSTIC AND SPEECH MEASUREMENT AND DATA AUGMENTATION, Cascaded encoders for unifying streaming and non-streaming ASR, CASCADED MODELS WITH CYCLIC FEEDBACK FOR DIRECT SPEECH TRANSLATION, CASCADED TIME + TIME-FREQUENCY UNET FOR SPEECH ENHANCEMENT: JOINTLY ADDRESSING CLIPPING, CODEC DISTORTIONS, AND GAPS, CASS-NAT: CTC ALIGNMENT-BASED SINGLE STEP NON-AUTOREGRESSIVE TRANSFORMER FOR SPEECH RECOGNITION, CATILOC: CAMERA IMAGE TRANSFORMER FOR INDOOR LOCALIZATION, Centrality based number of cluster estimation in Graph clustering, CGAN-NET: CLASS-GUIDED ASYMMETRIC NON-LOCAL NETWORK FOR REAL-TIME SEMANTIC SEGMENTATION, CHANNEL ATTENTION RESIDUAL U-NET FOR RETINAL VESSEL SEGMENTATION, CHANNEL-WISE MIX-FUSION DEEP NEURAL NETWORKS FOR ZERO-SHOT LEARNING, CHARACTERIZATION OF MEMS MICROPHONE SENSITIVITY AND PHASE DISTRIBUTIONS WITH APPLICATIONS IN ARRAY PROCESSING, CHECKING PRNU USABILITY ON MODERN DEVICES, CIF-BASED COLLABORATIVE DECODING FOR END-TO-END CONTEXTUAL SPEECH RECOGNITION, Class-Conditional Defense GAN Against End-to-End Speech Attacks, CLASSIFICATION OF EXPERT-NOVICE LEVEL USING EYE TRACKING AND MOTION DATA VIA CONDITIONAL MULTIMODAL VARIATIONAL AUTOENCODER, CLASSIFYING SPEECH INTELLIGIBILITY LEVELS OF CHILDREN IN TWO CONTINUOUS SPEECH STYLES, CLASS-IMBALANCED CLASSIFIERS USING ENSEMBLES OF GAUSSIAN PROCESSES AND GAUSSIAN PROCESS LATENT VARIABLE MODELS, CLOSE-TALKING RECORDING WITH PLANARLY DISTRIBUTED MICROPHONES, CLUSTERING A COLLECTION OF NETWORKS WITH MIXTURES OF L1-SPARSE GRAPHICAL MODELS, CNN-BASED SPOKEN TERM DETECTION AND LOCALIZATION WITHOUT DYNAMIC PROGRAMMING, COARSE-TO-CAREFUL: SEEKING SEMANTIC-RELATED KNOWLEDGE FOR OPEN-DOMAIN COMMONSENSE QUESTION ANSWERING, CO-ATTENTIONAL TRANSFORMERS FOR STORY-BASED VIDEO UNDERSTANDING, CO-CAPSULE NETWORKS BASED KNOWLEDGE TRANSFER FOR CROSS-DOMAIN RECOMMENDATION, CODEBOOK DESIGN FOR DUAL-POLARIZED ULTRA-MASSIVE MIMO COMMUNICATIONS AT MILLIMETER WAVE AND TERAHERTZ BANDS, Code-Switch Speech Rescoring With Monolingual Data, Cognitive Memory Constrained Human Decision Making based on Multi-source Information, COLD START REVISITED: A DEEP HYBRID RECOMMENDER WITH COLD-WARM ITEM HARMONIZATION, COLLABORATIVE INFERENCE VIA ENSEMBLES ON THE EDGE, COLLABORATIVE INTELLIGENCE: CHALLENGES AND OPPORTUNITIES, COLLABORATIVE LEARNING TO GENERATE AUDIO-VIDEO JOINTLY, COMBINED DIFFERENTIAL BEAMFORMING WITH UNIFORM LINEAR MICROPHONE ARRAYS, COMBINING ADAPTIVE FILTERING AND COMPLEX-VALUED DEEP POSTFILTERING FOR ACOUSTIC ECHO CANCELLATION, COMBINING DYNAMIC IMAGE AND PREDICTION ENSEMBLE FOR CROSS-DOMAIN FACE ANTI-SPOOFING, COMMUNICATION OVER BLOCK FADING CHANNELS - AN ALGORITHMIC PERSPECTIVE ON OPTIMAL TRANSMISSION SCHEMES, COMMUNICATION-COST AWARE MICROPHONE SELECTION FOR NEURAL SPEECH ENHANCEMENT WITH AD-HOC MICROPHONE ARRAYS, COMPACT GRAPH ARCHITECTURE FOR SPEECH EMOTION RECOGNITION, COMPARATIVE STUDY OF DIFFERENT EPOCH EXTRACTION METHODS FOR SPEECH ASSOCIATED WITH VOICE DISORDERS, COMPARISON OF DEEP CO-TRAINING AND MEAN-TEACHER APPROACHES FOR SEMI-SUPERVISED AUDIO TAGGING, Comparison of Wavelet and RID-Rihaczek Based Methods for Phase-Amplitude Coupling, COMPLEX RATIO MASKING FOR SINGING VOICE SEPARATION, COMPLEX-VALUED VS. REAL-VALUED NEURAL NETWORKS FOR CLASSIFICATION PERSPECTIVES: AN EXAMPLE ON NON-CIRCULAR DATA, COMPOSITIONAL EMBEDDING MODELS FOR SPEAKER IDENTIFICATION AND DIARIZATION WITH SIMULTANEOUS SPEECH FROM 2+ SPEAKERS, COMPRESSED REPRESENTATION OF CEPSTRAL COEFFICIENTS VIA RECURRENT NEURAL NETWORKS FOR INFORMED SPEECH ENHANCEMENT, COMPRESSING DEEP NEURAL NETWORKS FOR EFFICIENT SPEECH ENHANCEMENT, COMPRESSING LOCAL DESCRIPTOR MODELS FOR MOBILE APPLICATIONS, COMPRESSIVE SIGNAL RECOVERY UNDER SENSING MATRIX ERRORS COMBINED WITH UNKNOWN MEASUREMENT GAINS, COMPRESSIVE WIDEBAND SPECTRUM SENSING AND CARRIER FREQUENCY ESTIMATION WITH UNKNOWN MIMO CHANNELS, COMPUTATIONALLY EFFICIENT DNN-BASED APPROXIMATION OF AN AUDITORY MODEL FOR APPLICATIONS IN SPEECH PROCESSING, CONFIDENCE ESTIMATION FOR ATTENTION-BASED SEQUENCE-TO-SEQUENCE MODELS FOR SPEECH RECOGNITION, Consensus Based Distributed Spectral Radius Estimation, Constant approximation algorithm for minimizing concave impurity, CONSTRAINED TENSOR DECOMPOSITION FOR 2D DOA ESTIMATION IN TRANSMIT BEAMSPACE MIMO RADAR WITH SUBARRAYS, CONSTRUCTION OF A LARGE-SCALE JAPANESE ASR CORPUS ON TV RECORDINGS, CONSTRUCTION OF UNIT-NORM TIGHT FRAME BASED PRECONDITIONER FOR SPARSE CODING, CONTACT TRACING ENHANCES THE EFFICIENCY OF COVID-19 GROUP TESTING, Content-Aware Speaker Embeddings for Speaker Diarisation, CONTEXT-AWARE PROSODY CORRECTION FOR TEXT-BASED SPEECH EDITING, Context-Aware Speech Stress Detection in Hospital Workers Using Bi-LSTM Classifiers, CONTINUOUS CNN FOR NONUNIFORM TIME SERIES, CONTINUOUS FACE AGING GENERATIVE ADVERSARIAL NETWORKS, CONTINUOUS SPEECH SEPARATION WITH CONFORMER, CONTINUOUS-TIME SELF-ATTENTION IN NEURAL DIFFERENTIAL EQUATION, CONTRASTIVE EMBEDDIND LEARNING METHOD FOR RESPIRATORY SOUND CLASSIFICATION, Contrastive learning for perceptual audio similarity, CONTRASTIVE LEARNING OF GENERAL-PURPOSE AUDIO REPRESENTATIONS, Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations, Contrastive Self-supervised Learning for Text-independent Speaker Verification, CONTRASTIVE SELF-SUPERVISED LEARNING FOR WIRELESS POWER CONTROL, CONTRASTIVE SEMI-SUPERVISED LEARNING FOR ASR, CONTRASTIVE SEPARATIVE CODING FOR SELF-SUPERVISED REPRESENTATION LEARNING, CONTRASTIVE UNSUPERVISED LEARNING FOR SPEECH EMOTION RECOGNITION, CONTROL ARCHITECTURE OF THE DOUBLE-CROSS-CORRELATION PROCESSOR FOR SAMPLING-RATE-OFFSET ESTIMATION IN ACOUSTIC SENSOR NETWORKS, CONTROLLED TESTING AND ISOLATION FOR SUPPRESSING COVID-19, CONVERGENCE ANALYSIS OF THE GRAPH-TOPOLOGY-INFERENCE KERNEL LMS ALGORITHM, CONVERSATIONAL QUERY REWRITING WITH SELF-SUPERVISED LEARNING, CONVEX NEURAL AUTOREGRESSIVE MODELS: TOWARDS TRACTABLE, EXPRESSIVE, AND THEORETICALLY-BACKED MODELS FOR SEQUENTIAL FORECASTING AND GENERATION, CONVOLUTIONAL DROPOUT AND WORDPIECE AUGMENTATION FOR END-TO-END SPEECH RECOGNITION, CONVOLUTIONAL NEURAL NETWORK-AIDED BIT-FLIPPING FOR BELIEF PROPAGATION DECODING OF POLAR CODES, CONVOLUTIVE TRANSFER FUNCTION INVARIANT SDR TRAINING CRITERIA FOR MULTI-CHANNEL REVERBERANT SPEECH SEPARATION, COOPERATIVE PARAMETER ESTIMATION ON THE UNIT SPHERE USING A NETWORK OF DIFFUSION PARTICLE FILTERS, COOPERATIVE PARAMETER TRACKING ON THE UNIT SPHERE USING DISTRIBUTED ADAPT-THEN-COMBINE PARTICLE FILTERS AND PARALLEL TRANSPORT, Cooperative Scenarios For Multi-agent Reinforcement learning In Wireless Edge Caching, COOPNET: MULTI-MODAL COOPERATIVE GENDER PREDICTION IN SOCIAL MEDIA USER PROFILING, CopyPaste: An Augmentation Method for Speech Emotion Recognition, CORRELATION-BASED ROBUST LINEAR REGRESSION WITH ITERATIVE OUTLIER REMOVAL, CORRUPTED CONTEXTUAL BANDITS: ONLINE LEARNING WITH CORRUPTED CONTEXT, Cost Affinity Learning Network for Stereo Matching, COUGHWATCH: REAL-WORLD COUGH DETECTION USING SMARTWATCHES, COUNT AND SEPARATE: INCORPORATING SPEAKER COUNTING FOR CONTINUOUS SPEAKER SEPARATION, COUNT SKETCH WITH ZERO CHECKING: EFFICIENT RECOVERY OF HEAVY COMPONENTS, crank: an open-source software for nonparallel voice conversion based on vector-quantized variational autoencoder, Cross Scene Video Foreground Segmentation via Co-occurrence Probability Oriented Supervised and Unsupervised Model Interaction, Cross-Corpus Speech Emotion Recognition Using Joint Distribution Adaptive Regression, Cross-Domain Semi-Supervised Deep Metric Learning for Image Sentiment Analysis, Cross-Domain Sentiment Classification With Contrastive Learning and Mutual Information Maximization, CROSS-MODAL INFORMATION MAXIMIZATION FOR MEDICAL IMAGING: CMIM, CROSS-MODAL KNOWLEDGE DISTILLATION FOR FINE-GRAINED ONE-SHOT CLASSIFICATION, Cross-Modal Representation Reconstruction for Zero-Shot Classification, CROSS-SILO FEDERATED TRAINING IN THE CLOUD WITH DIVERSITY SCALING AND SEMI-SUPERVISED LEARNING, CROSS-TEAGER ENERGY CEPSTRAL COEFFICIENTS FOR REPLAY SPOOF DETECTION ON VOICE ASSISTANTS, Crowd Counting via multi-level regression with Latent Gaussian maps, Crowdsourcing approach for subjective evaluation of echo impairment, CRYPTO-ORIENTED NEURAL ARCHITECTURE DESIGN, CT-CAPS: Feature Extraction-based Automated Framework for COVID-19 Disease Identification from Chest CT Scans using Capsule Networks, CUE-PRESERVING MMSE FILTER WITH BAYESIAN SNR MARGINALIZATION FOR BINAURAL SPEECH ENHANCEMENT, CYCLE GENERATIVE ADVERSARIAL NETWORK APPROACHES TO PRODUCE NOVEL PORTABLE CHEST X-RAYS IMAGES FOR COVID-19 DIAGNOSIS, DAG-GAN: CAUSAL STRUCTURE LEARNING WITH GENERATIVE ADVERSARIAL NETS, DATA AUGMENTATION WITH SIGNAL COMPANDING FOR DETECTION OF LOGICAL ACCESS ATTACKS, DATA DISCOVERY USING LOSSLESS COMPRESSION-BASED SPARSE REPRESENTATION, DATA FUSION FOR AUDIOVISUAL SPEAKER LOCALIZATION: EXTENDING DYNAMIC STREAM WEIGHTS TO THE SPATIAL DOMAIN, Data-Driven Adaptive Network Resource Slicing for Multi-Tenant Networks, DATA-EFFICIENT FRAMEWORK FOR REAL-WORLD MULTIPLE SOUND SOURCE 2D LOCALIZATION, DBNET: DOA-DRIVEN BEAMFORMING NETWORK FOR END-TO-END FARFIELD SOUND SOURCE SEPARATION, DCASENET: AN INTEGRATED PRETRAINED DEEP NEURAL NETWORK FOR DETECTING AND CLASSIFYING ACOUSTIC SCENES AND EVENTS, DEAAN: DISENTANGLED EMBEDDING AND ADVERSARIAL ADAPTATION NETWORK FOR ROBUST SPEAKER REPRESENTATION LEARNING, Decentralized Deep Learning using Momentum-Accelerated Consensus, Decentralized motion inference and registration of Neuropixel data, DECENTRALIZED OPTIMIZATION ON TIME-VARYING DIRECTED GRAPHS UNDER COMMUNICATION CONSTRAINTS, DECENTRALIZED OPTIMIZATION OVER NOISY, RATE-CONSTRAINED NETWORKS: HOW WE AGREE BY TALKING ABOUT HOW WE DISAGREE, Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition, DECISION TREE BASED INTER PARTITION TERMINATION FOR AV1 ENCODING, DECODING MUSIC ATTENTION FROM "EEG HEADPHONES": A USER-FRIENDLY AUDITORY BRAIN-COMPUTER INTERFACE, Decoding neural representations of rhythmic sounds from magnetoencephalography, DECOMPOSING TEXTURES USING EXPONENTIAL ANALYSIS, Decouple the High-Frequency and Low-Frequency Information of Images for Semantic Segmentation, DECOUPLING PRONUNCIATION AND LANGUAGE FOR END-TO-END CODE-SWITCHING AUTOMATIC SPEECH RECOGNITION, DEEP ACTIVE LEARNING APPROACH TO ADAPTIVE BEAMFORMING FOR MMWAVE INITIAL ALIGNMENT, DEEP ADVERSARIAL QUANTIZATION NETWORK FOR CROSS-MODAL RETRIEVAL, Deep and Ordinal Ensemble Learning for Human Age Estimation From Facial Images, Deep Auto-Encoding and Biohashing for Secure Finger Vein Recognition, DEEP COLOR CONSTANCY USING TEMPORAL GRADIENT UNDER AC LIGHT SOURCES, DEEP CONVOLUTIONAL AND RECURRENT NETWORKS FOR POLYPHONIC INSTRUMENT CLASSIFICATION FROM MONOPHONIC RAW AUDIO WAVEFORMS, Deep Convolutional Gaussian Processes for mmWave Outdoor Localization, DEEP DETERMINISTIC INFORMATION BOTTLENECK WITH MATRIX-BASED ENTROPY FUNCTIONAL, DEEP ENSEMBLE SIAMESE NETWORK FOR INCREMENTAL SIGNAL CLASSIFICATION, DEEP GENERATIVE DEMIXING: ERROR BOUNDS FOR DEMIXING SUBGAUSSIAN MIXTURES OF LIPSCHITZ SIGNALS, Deep Generative Model Learning for Blind Spectrum Cartography with NMF-based Radio Map Disaggregation, DEEP HASHING FOR MOTION CAPTURE DATA RETRIEVAL, DEEP LEARNING ARCHITECTURAL DESIGNS FOR SUPER-RESOLUTION OF NOISY IMAGES, DEEP LEARNING BASED HYBRID PRECODING IN DUAL-BAND COMMUNICATION SYSTEMS, Deep Learning for Linear Inverse Problems Using the Plug-and-Play Priors Framework, DEEP LEARNING-BASED CROSS-LAYER RESOURCE ALLOCATION FOR WIRED COMMUNICATION SYSTEMS, DEEP LUNG AUSCULTATION USING ACOUSTIC BIOMARKERS FOR ABNORMAL RESPIRATORY SOUND EVENT DETECTION, DEEP MULTI-FRAME MVDR FILTERING FOR SINGLE-MICROPHONE SPEECH ENHANCEMENT, Deep Multiway Canonical Correlation Analysis for Multi-subject EEG Normalization, Deep Neural Network based Cough Detection using Bed-mounted Accelerometer Measurements, DEEP NEURAL NETWORK EMBEDDINGS FOR THE ESTIMATION OF THE DEGREE OF SLEEPINESS, DEEP NEURAL NETWORKS WITH FLEXIBLE COMPLEXITY WHILE TRAINING BASED ON NEURAL ORDINARY DIFFERENTIAL EQUATIONS, DEEP RESIDUAL ECHO SUPPRESSION WITH A TUNABLE TRADEOFF BETWEEN SIGNAL DISTORTION AND ECHO SUPPRESSION, DEEP S3PR: SIMULTANEOUS SOURCE SEPARATION AND PHASE RETRIEVAL USING DEEP GENERATIVE MODELS, DEEP SEMI-SUPERVISED METRIC LEARNING VIA IDENTIFICATION OF MANIFOLD MEMBERSHIPS, DEEP TRANSFORM AND METRIC LEARNING NETWORKS, Deep Unfolding Network for Block-Sparse Signal Recovery, DeepEmoCluster: A Semi-Supervised Framework for Latent Cluster Representation of Speech Emotions, DEEPF0: END-TO-END FUNDAMENTAL FREQUENCY ESTIMATION FOR MUSIC AND SPEECH SIGNALS, DeepNodule: Multi-task Learning of Segmentation Bootstrap for Pulmonary Nodule Detection, DEEPTALK: VOCAL STYLE ENCODING FOR SPEAKER RECOGNITION AND SPEECH SYNTHESIS, DEFICIENT BASIS ESTIMATION OF NOISE SPATIAL COVARIANCE MATRIX FOR RANK-CONSTRAINED SPATIAL COVARIANCE MATRIX ESTIMATION METHOD IN BLIND SPEECH EXTRACTION, DEFORMABLE CONVOLUTION DENSE NETWORK FOR COMPRESSED VIDEO QUALITY ENHANCEMENT, DEMYSTIFYING MODEL AVERAGING FOR COMMUNICATION-EFFICIENT FEDERATED MATRIX FACTORIZATION, DENOISPEECH: DENOISING TEXT TO SPEECH WITH FRAME-LEVEL NOISE MODELING, Dense attention module for accurate pulmonary nodule detection, Dense Feature Pyramid Grids Network for Single Image Deraining, DENSELY CONNECTED MULTI-STAGE MODEL WITH CHANNEL WISE SUBBAND FEATURE FOR REAL-TIME SPEECH ENHANCEMENT, DEPRESSION DETECTION BY ANALYSING EYE MOVEMENTS ON EMOTIONAL IMAGES, DESIGN OF GRAPH SIGNAL SAMPLING MATRICES FOR ARBITRARY SIGNAL SUBSPACES, DESIGNING RANDOM FM RADAR WAVEFORMS WITH COMPACT SPECTRUM, DETECTING ACOUSTIC REFLECTORS USING A ROBOT’S EGO-NOISE, DETECTING ADVERSARIAL ATTACKS ON AUDIOVISUAL SPEECH RECOGNITION, DETECTING ALZHEIMER'S DISEASE FROM SPEECH USING NEURAL NETWORKS WITH BOTTLENECK FEATURES AND DATA AUGMENTATION, DETECTING SIGNAL CORRUPTIONS IN VOICE RECORDINGS FOR SPEECH THERAPY, DETECTION OF AUDIO-VIDEO SYNCHRONIZATION ERRORS VIA EVENT DETECTION, DETECTION OF COVID-19 THROUGH THE ANALYSIS OF VOCAL FOLD OSCILLATIONS, DETECTION OF MALICIOUS DNS AND WEB SERVERS USING GRAPH-BASED APPROACHES, DETECTION OF POST-TRAUMATIC STRESS DISORDER USING LEARNED TIME-FREQUENCY REPRESENTATIONS FROM PUPILLOMETRY, DEVELOPING REAL-TIME STREAMING TRANSFORMER TRANSDUCER FOR SPEECH RECOGNITION ON LARGE-SCALE DATASET, DEVELOPMENT OF THE CUHK ELDERLY SPEECH RECOGNITION SYSTEM FOR NEUROCOGNITIVE DISORDER DETECTION USING THE DEMENTIABANK CORPUS, DFDM: A DEEP FEATURE DECOUPLING MODULE FOR LUNG NODULE SEGMENTATION, DHASP: DIFFERENTIABLE HEARING AID SPEECH PROCESSING, DHCN: DEEP HIERARCHICAL CONTEXT NETWORKS FOR IMAGE ANNOTATION, DIDISPEECH: A LARGE SCALE MANDARIN SPEECH CORPUS, Differentiable Signal Processing With Black-Box Audio Effects, DIFFERENTIAL CHAOS SHIFT KEYING-BASED WIRELESS POWER TRANSFER, Differential Convolution Feature Guided Deep Multi-scale Multiple Instance Learning for Aerial Scene Classification, DIRECTION OF ARRIVAL ESTIMATION FOR NON-COHERENT SUB-ARRAYS VIA JOINT SPARSE AND LOW-RANK SIGNAL RECOVERY, DIRECTION PRESERVING WIND NOISE REDUCTION OF B-FORMAT SIGNALS, DIRECTIONAL ASR: A NEW PARADIGM FOR E2E MULTI-SPEAKER SPEECH RECOGNITION WITH SOURCE LOCALIZATION, DIRECTIONAL SPARSE FILTERING USING WEIGHTED LEHMER MEAN FOR BLIND SEPARATION OF UNBALANCED SPEECH MIXTURES, DISCRETE COSINE TRANSFORM BASED CAUSAL CONVOLUTIONAL NEURAL NETWORK FOR DRIFT COMPENSATION IN CHEMICAL SENSORS, DISCRIMINABILITY OF SINGLE-LAYER GRAPH NEURAL NETWORKS, DISENTANGLED SPEAKER AND LANGUAGE REPRESENTATIONS USING MUTUAL INFORMATION MINIMIZATION AND DOMAIN ADAPTATION FOR CROSS-LINGUAL TTS, DISENTANGLEMENT FOR AUDIO-VISUAL EMOTION RECOGNITION USING MULTITASK SETUP, DISENTANGLING SUBJECT-DEPENDENT/-INDEPENDENT REPRESENTATIONSFOR 2D MOTION RETARGETING, DISTRIBUTED SCHEDULING USING GRAPH NEURAL NETWORKS, DISTRIBUTED SPEECH SEPARATION IN SPATIALLY UNCONSTRAINED MICROPHONE ARRAYS, DISTRIBUTION-AWARE HIERARCHICAL WEIGHTING METHOD FOR DEEP METRIC LEARNING, DIVIDE AND CONQUER: ONE-BIT MIMO-OFDM DETECTION BY INEXACT EXPECTATION MAXIMIZATION, DNANet: Dense Nested Attention Network for Single Image Dehazing, DNSMOS: A NON-INTRUSIVE PERCEPTUAL OBJECTIVE SPEECH QUALITY METRIC TO EVALUATE NOISE SUPPRESSORS, DO AS I MEAN, NOT AS I SAY: SEQUENCE LOSS TRAINING FOR SPOKEN LANGUAGE UNDERSTANDING, DOA ESTIMATION OF A HIDDEN RF SOURCE EXPLOITING SIMPLE BACKSCATTER RADIO TAGS, Domain Adaptation for Learning Generator from Paired Few-Shot Data, DOMAIN-ADVERSARIAL AUTOENCODER WITH ATTENTION BASED FEATURE LEVEL FUSION FOR SPEECH EMOTION RECOGNITION, DOMAIN-AWARE NEURAL LANGUAGE MODELS FOR SPEECH RECOGNITION, DOMESTIC ACTIVITIES CLUSTERING FROM AUDIO RECORDINGS USING CONVOLUTIONAL CAPSULE AUTOENCODER NETWORK, DON’T LOOK BACK: AN ONLINE BEAT TRACKING METHOD USING RNN AND ENHANCED PARTICLE FILTERING, DON’T SHOOT BUTTERFLY WITH RIFLES: MULTI-CHANNEL CONTINUOUS SPEECH SEPARATION WITH EARLY EXIT TRANSFORMER, Double Multi-Head Attention for Speaker Verification, Double-DCCCAE: Estimation of Body Gestures from Speech Waveform, DOUBLE-LINEAR THOMPSON SAMPLING FOR CONTEXT-ATTENTIVE BANDITS, DP-SIGNSGD: WHEN EFFICIENCY MEETS PRIVACY AND ROBUSTNESS, DP-VTON: TOWARD DETAIL-PRESERVING IMAGE-BASED VIRTUAL TRY-ON NETWORK, DrawGAN: Text to Image Synthesis with Drawing Generative Adversarial Networks, Drawing Order Recovery from Trajectory Components, DUAL METRIC DISCRIMINATOR FOR OPEN SET VIDEO DOMAIN ADAPTATION, DUALFORMER: A UNIFIED BIDIRECTIONAL SEQUENCE-TO-SEQUENCE LEARNING, Dual-Path Modeling for Long Recording Speech Separation in Meetings, DUAL-STREAM NETWORK BASED ON GLOBAL GUIDANCE FOR SALIENT OBJECT DETECTION, DURAS: Deep Unfolded Radar Sensing Using Doppler Focusing, D-VDAMP: DENOISING-BASED APPROXIMATE MESSAGE PASSING FOR COMPRESSIVE MRI, DYNAMIC CURRICULUM LEARNING VIA DATA PARAMETERS FOR NOISE ROBUST KEYWORD SPOTTING, Dynamic Graph Learning based on Graph Laplacian, DYNAMIC GRAPH MODELING OF SIMULTANEOUS EEG AND EYE-TRACKING DATA FOR READING TASK IDENTIFICATION, DYNAMIC POINT CLOUD COMPRESSION USING A CUBOID ORIENTED DISCRETE COSINE BASED MOTION MODEL, DYNAMIC RESOURCE OPTIMIZATION FOR ADAPTIVE FEDERATED LEARNING AT THE WIRELESS NETWORK EDGE, Dynamic Sparsity Neural Networks for Automatic Speech Recognition, DYNAMIC TEXTURE RECOGNITION VIA NUCLEAR DISTANCES ON KERNELIZED SCATTERING HISTOGRAM SPACES, EADNET: EFFICIENT ASYMMETRIC DILATED NETWORK FOR SEMANTIC SEGMENTATION, EAT: ENHANCED ASR-TTS FOR SELF-SUPERVISED SPEECH RECOGNITION, ECCL: EXPLICIT CORRELATION-BASED CONVOLUTION BOUNDARY LOCATOR FOR MOMENT LOCALIZATION, ECG HEART-BEAT CLASSIFICATION USING MULTIMODAL IMAGE FUSION, EDGE-AWARE MULTI-SCALE PROGRESSIVE COLORIZATION, EEG-BASED EMOTION CLASSIFICATION USING GRAPH SIGNAL PROCESSING, Effect of Language Proficiency on Subjective Evaluation of Noise Suppression Algorithms, EFFECT OF NOISE AND MODEL COMPLEXITY ON DETECTION OF AMYOTROPHIC LATERAL SCLEROSIS AND PARKINSON’S DISEASE USING PITCH AND MFCC, EFFECT OF VIDEO PIXEL-BINNING ON SOURCE ATTRIBUTION OF MIXED MEDIA, EFFECTIVE RANK-BASED ESTIMATION OF THE COHERENT-TO-DIFFUSE POWER RATIO, Efficient Adversarial Audio Synthesis via Progressive Upsampling, EFFICIENT CLIENT CONTRIBUTION EVALUATION FOR HORIZONTAL FEDERATED LEARNING, EFFICIENT END-TO-END AUDIO EMBEDDINGS GENERATION FOR AUDIO CLASSIFICATION ON TARGET APPLICATIONS, EFFICIENT FACE MANIPULATION VIA DEEP FEATURE DISENTANGLEMENT AND REINTEGRATION NET, EFFICIENT KNOWLEDGE DISTILLATION FOR RNN-TRANSDUCER MODELS, EFFICIENT LONG PERIODIC BINARY SEQUENCE DESIGNS FOR AUTOMOTIVE RADAR, EFFICIENT MIGRATION TO THE NEXT GENERATION OF NETWORKS BASED ON DIGITAL ANNEALING, EFFICIENT MULTI-OBJECTIVE GANS FOR IMAGE RESTORATION, EFFICIENT NETWORK PROTECTION GAMES AGAINST MULTIPLE TYPES OF STRATEGIC ATTACKERS, EFFICIENT POWER ALLOCATION USING GRAPH NEURAL NETWORKS AND DEEP ALGORITHM UNFOLDING, EFFICIENT REAL-TIME VIDEO STABILIZATION WITH A NOVEL LEAST SQUARES FORMULATION, EFFICIENT SPEECH EMOTION RECOGNITION USING MULTI-SCALE CNN AND ATTENTION, EFFICIENT TRAINING DATA GENERATION FOR PHASE-BASED DOA ESTIMATION, Efficient Use of End-to-end Data in Spoken Language Processing, EGO-BASED ENTROPY MEASURES FOR STRUCTURAL REPRESENTATIONS ON GRAPHS, EGO-GNNS: EXPLOITING EGO STRUCTURES IN GRAPH NEURAL NETWORKS, EIGENVECTORS OF ORDINARY, GENERALIZED, CENTERED AND OFFSET DISCRETE FOURIER TRANSFORMS BASED ON LOOKUP TABLE METHODS: EFFICIENCY AND APPROXIMATION USES, EKFNET: LEARNING SYSTEM NOISE STATISTICS FROM MEASUREMENT DATA, ELBERT: FAST ALBERT WITH CONFIDENCE-WINDOW BASED EARLY EXIT, Elliptical Shape Recovery from Blurred Pixels using Deep Learning, Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization, EMFORMER: EFFICIENT MEMORY TRANSFORMER BASED ACOUSTIC MODEL FORLOW LATENCY STREAMING SPEECH RECOGNITION, EMOTION CONTROLLABLE SPEECH SYNTHESIS USING EMOTION-UNLABELED DATASET WITH THE ASSISTANCE OF CROSS-DOMAIN SPEECH EMOTION RECOGNITION, EMOTION RECOGNITION BY FUSING TIME SYNCHRONOUS AND TIME ASYNCHRONOUS REPRESENTATIONS, EMPIRICALLY ACCELERATING SCALED GRADIENT PROJECTION USING DEEP NEURAL NETWORK FOR INVERSE PROBLEMS IN IMAGE PROCESSING, Enabling Efficient and Expressive Spatial Keyword Queries on Encrypted Data, ENCODER-DECODER BASED PITCH TRACKING AND JOINT MODEL TRAINING FOR MANDARIN TONE CLASSIFICATION, END TO END LEARNING FOR CONVOLUTIVE MULTI-CHANNEL WIENER FILTERING, END2END ACOUSTIC TO SEMANTIC TRANSDUCTION, END-2-END MODELING OF SPEECH AND GAIT FROM PATIENTS WITH PARKINSON'S DISEASE: COMPARISON BETWEEN HIGH QUALITY VS. SMARTPHONE DATA, END-TO-END AUDIO-VISUAL SPEECH RECOGNITION WITH CONFORMERS, END-TO-END DEREVERBERATION, BEAMFORMING, AND SPEECH RECOGNITION WITH IMPROVED NUMERICAL STABILITY AND ADVANCED FRONTEND, END-TO-END DIARIZATION FOR VARIABLE NUMBER OF SPEAKERS WITH LOCAL-GLOBAL NETWORKS AND DISCRIMINATIVE SPEAKER EMBEDDINGS, End-to-end learning of variational models and solvers for the resolution of interpolation problems, End-to-end lyrics Recognition with Voice to Singing Style Transfer, END-TO-END MULTI-ACCENT SPEECH RECOGNITION WITH UNSUPERVISED ACCENT MODELLING, END-TO-END MULTI-CHANNEL TRANSFORMER FOR SPEECH RECOGNITION, END-TO-END MULTILINGUAL AUTOMATIC SPEECH RECOGNITION FOR LESS-RESOURCED LANGUAGES: THE CASE OF FOUR ETHIOPIAN LANGUAGES, END-TO-END SPEAKER DIARIZATION AS POST-PROCESSING, END-TO-END SPOKEN LANGUAGE UNDERSTANDING USING TRANSFORMER NETWORKS AND SELF-SUPERVISED PRE-TRAINED FEATURES, END-TO-END TEXT-TO-SPEECH USING LATENT DURATION BASED ON VQ-VAE, ENERGY EFFICIENCY OPTIMIZATION TECHNIQUE FOR SWIPT-ENABLED MULTI-GROUP MULTICASTING SYSTEMS WITH HETEROGENEOUS USERS, Energy Minimization for Federated Learning with IRS-Assisted Over-the-Air Computation, Enhanced Automotive Target Detection through Radar and Communications Sensor Fusion, ENHANCED BLIND CALIBRATION OF UNIFORM LINEAR ARRAYS WITH ONE-BIT QUANTIZATION BY KULLBACK-LEIBLER DIVERGENCE COVARIANCE FITTING, ENHANCED STANDARD ESPRIT FOR OVERCOMING IMPERFECTIONS IN DOA ESTIMATION, ENHANCING AUDIO AUGMENTATION METHODS WITH CONSISTENCY LEARNING, ENHANCING DATA-FREE ADVERSARIAL DISTILLATION WITH ACTIVATION REGULARIZATION AND VIRTUAL INTERPOLATION, Enhancing Deep Paraphrase Identification via Leveraging Word Alignment Information, ENHANCING IMAGE STEGANOGRAPHY VIA STEGO GENERATION AND SELECTION, ENHANCING INTO THE CODEC: NOISE ROBUST SPEECH CODING WITH VECTOR-QUANTIZED AUTOENCODERS, ENHANCING MODEL ROBUSTNESS BY INCORPORATING ADVERSARIAL KNOWLEDGE INTO SEMANTIC REPRESENTATION, ENHANCING MULTI-CHANNEL EEG CLASSIFICATION WITH GRAMIAN TEMPORAL GENERATIVE ADVERSARIAL NETWORKS, ENSEMBLE COMBINATION BETWEEN DIFFERENT TIME SEGMENTATIONS, ENSEMBLE DISTILLATION APPROACHES FOR GRAMMATICAL ERROR CORRECTION, ENSEMBLING OBJECT DETECTORS FOR IMAGE AND VIDEO DATA ANALYSIS, ENSURE: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning, ENVIRONMENT-INDEPENDENT WI-FI HUMAN ACTIVITY RECOGNITION WITH ADVERSARIAL NETWORK, ERROR ESTIMATES IN SECOND-ORDER CONTINUOUS-TIME SIGMA-DELTA MODULATORS, ERROR-DRIVEN FIXED-BUDGET PERSONALIZATION FOR ACCENTED SPEAKERS, Error-driven Pruning of Language Models for Virtual Assistants, Estimating Fiedler value on large networks based on random walk observations, ESTIMATING NETWORK PROCESSES VIA BLIND IDENTIFICATION OF MULTIPLE GRAPH FILTERS, ESTIMATING SEVERITY OF DEPRESSION FROM ACOUSTIC FEATURES AND EMBEDDINGS OF NATURAL SPEECH, ESTIMATION OF GROUNDWATER STORAGE VARIATIONS IN INDUS RIVER BASIN USING GRACE DATA, ESTIMATION OF MICROPHONE CLUSTERS IN ACOUSTIC SENSOR NETWORKS USING UNSUPERVISED FEDERATED LEARNING, ESTIMATION OF VISUAL FEATURES OF VIEWED IMAGE FROM INDIVIDUAL AND SHARED BRAIN INFORMATION BASED ON FMRI DATA USING PROBABILISTIC GENERATIVE MODEL, Evaluation and Comparison of Three Source Direction-of-Arrival Estimators Using Relative Harmonic Coefficients, EVOLUTIONARY QUANTIZATION OF NEURAL NETWORKS WITH MIXED-PRECISION, EVOLVING QUANTIZED NEURAL NETWORKS FOR IMAGE CLASSIFICATION USING A MULTI-OBJECTIVE GENETIC ALGORITHM, Exact Linear Convergence Rate Analysis for Low-Rank Symmetric Matrix Completion via Gradient Descent, EXPEDITING DISCOVERY IN NEURAL ARCHITECTURE SEARCH BY COMBINING LEARNING WITH PLANNING, EXPLOITING NON-NEGATIVE MATRIX FACTORIZATION FOR BINAURAL SOUND LOCALIZATION IN THE PRESENCE OF DIRECTIONAL INTERFERENCE, EXPLOITING THE DUAL-TREE COMPLEX WAVELET TRANSFORM FOR SHIP WAKE DETECTION IN SAR IMAGERY, EXPLORING AUTOMATIC COVID-19 DIAGNOSIS VIA VOICE AND SYMPTOMS FROM CROWDSOURCED DATA, Exploring the application of synthetic audio in training keyword spotters, EXPLORING THE USE OF COMMON LABEL SET TO IMPROVE SPEECH RECOGNITION OF LOW RESOURCE INDIAN LANGUAGES, EXPLORING VISUAL-AUDIO COMPOSITION ALIGNMENT NETWORK FOR QUALITY FASHION RETRIEVAL IN VIDEO, EXPOSING GAN-GENERATED FACES USING INCONSISTENT CORNEAL SPECULAR HIGHLIGHTS, EXTENDED NESTED ARRAYS FOR CONSECUTIVE VIRTUAL APERTURE ENHANCEMENT, Extended Object Tracking with Automotive Radar Using B-Spline Chained Ellipses Model, EXTENDING MUSIC BASED ON EMOTION AND TONALITY VIA GENERATIVE ADVERSARIAL NETWORK, EXTENDING PARROTRON: AN END-TO-END, SPEECH CONVERSION AND SPEECH RECOGNITION MODEL FOR ATYPICAL SPEECH, Extending the Reverse JPEG Compatibility Attack to Double Compressed Images, Factorized CRF with batch normalization based on the entire training data, FAILURE PREDICTION BY CONFIDENCE ESTIMATION OF UNCERTAINTY-AWARE DIRICHLET NETWORKS, Fast Adaptive Reparametrization (FAR) With Application to Human Action Recognition, Fast and Provable Robust PCA via Normalized Coherence Pursuit, FAST AND ROBUST ADMM FOR BLIND SUPER-RESOLUTION, FAST AND ROBUST STRATIFIED SELF-CALIBRATION USING TIME-DIFFERENCE-OF-ARRIVAL MEASUREMENTS, FAST DCTTS: EFFICIENT DEEP CONVOLUTIONAL TEXT-TO-SPEECH, FAST DECENTRALIZED LINEAR FUNCTIONS VIA SUCCESSIVE GRAPH SHIFT OPERATORS, FAST GRAPH KERNEL WITH OPTICAL RANDOM FEATURES, Fast Hierarchy Preserving Graph Embedding via Subspace Constraints, FAST LOCAL REPRESENTATION LEARNING WITH ADAPTIVE ANCHOR GRAPH, Fast Manifold Landmarking Using Extreme Eigen-pairs, FAST THRESHOLD OPTIMIZATION FOR MULTI-LABEL AUDIO TAGGING USING SURROGATE GRADIENT LEARNING, FAST: FEATURE AGGREGATION FOR DETECTING SALIENT OBJECT IN REAL-TIME, FastEmit: Low-latency Streaming ASR with Sequence-level Emission Regularization, FASTPITCH: PARALLEL TEXT-TO-SPEECH WITH PITCH PREDICTION, FC2RN: A FULLY CONVOLUTIONAL CORNER REFINEMENT NETWORK FOR ACCURATE MULTI-ORIENTED SCENE TEXT DETECTION, FCL-TACO2: TOWARDS FAST, CONTROLLABLE AND LIGHTWEIGHT TEXT-TO-SPEECH SYNTHESIS, FEATURE INTEGRATION VIA SEMI-SUPERVISED ORDINALLY MULTI-MODAL GAUSSIAN PROCESS LATENT VARIABLE MODEL, FEATURE REDUNDANCY MINING: DEEP LIGHT-WEIGHT IMAGE SUPER-RESOLUTION MODEL, FEATURE REUSE FOR A RANDOMIZATION BASED NEURAL NETWORK, FEDERATED ACOUSTIC MODELING FOR AUTOMATIC SPEECH RECOGNITION, FEDERATED ALGORITHM WITH BAYESIAN APPROACH: OMNI-FEDGE, FEDERATED DROPOUT LEARNING FOR HYBRID BEAMFORMING WITH SPATIAL PATH INDEX MODULATION IN MULTI-USER MMWAVE-MIMO SYSTEMS, FEDERATED LEARNING FROM BIG DATA OVER NETWORKS, Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication, FEDERATED MARGINAL PERSONALIZATION FOR ASR RESCORING, Feedforward Selective Fixed-Filter Active Noise Control: Algorithm and Implementation, FEW-SHOT CONTINUAL LEARNING FOR AUDIO CLASSIFICATION, FEW-SHOT IMAGE CLASSIFICATION WITH MULTI-FACET PROTOTYPES, Few-shot Learning for CT Scan based COVID-19 Diagnosis, Few-Shot Learning for Decoding Surface Electromyography for Hand Gesture Recognition, Fiber-Sampled Stochastic Mirror Descent For Tensor Decomposition with $\beta$-Divergence, FiGLearn: Filter and Graph Learning using Optimal Transport, FINE-GRAINED MRI RECONSTRUCTION USING ATTENTIVE SELECTION GENERATIVE ADVERSARIAL NETWORKS, Fine-Grained Pose Temporal Memory Module for Video Pose Estimation and Tracking, FINE-TUNING OF PRE-TRAINED END-TO-END SPEECH RECOGNITION WITH GENERATIVE ADVERSARIAL NETWORKS, FIRST-ORDER FAST ALGORITHM FOR STRUCTURALLY OPTIMAL MULTI-GROUP MULTICAST BEAMFORMING IN LARGE-SCALE SYSTEMS, FLOW-BASED SELF-SUPERVISED DENSITY ESTIMATION FOR ANOMALOUS SOUND DETECTION, FMA-ETA: ESTIMATING TRAVEL TIME ENTIRELY BASED ON FFN WITH ATTENTION, F-NET: FUSION NEURAL NETWORK FOR VEHICLE TRAJECTORY PREDICTION IN AUTONOMOUS DRIVING, Focus on the present: a regularization method for the ASR source-target attention layer, Focus: Context-Aware Masking for Robust Speaker Verification, FOCUSING AND FREQUENCY SMOOTHING FOR ARBITRARY ARRAYS WITH APPLICATION TO SPEAKER LOCALIZATION, FOCUSING-BASED WIDEBAND ADAPTIVE BEAMFORMING USING COVARIANCE MATRIX RECONSTRUCTION, FONTNET: ON-DEVICE FONT UNDERSTANDING AND PREDICTION PIPELINE, FOOLHD: FOOLING SPEAKER IDENTIFICATION BY HIGHLY IMPERCEPTIBLE ADVERSARIAL DISTURBANCES, FORENSICABILITY OF DEEP NEURAL NETWORK INFERENCE PIPELINES, Four-Dimensional High-Resolution Automotive Radar Imaging Exploiting Joint Sparse-Frequency and Sparse-Array Design, FOURIER TRANSFORMATION AUTOENCODERS FOR ANOMALY DETECTION, FOVEAL AVASCULAR ZONE SEGMENTATION OF OCTA IMAGES USING DEEP LEARNING APPROACH WITH UNSUPERVISED VESSEL SEGMENTATION, FPGA HARDWARE DESIGN FOR PLENOPTIC 3D IMAGE PROCESSING ALGORITHM TARGETING A MOBILE APPLICATION, FRAGMENTVC: ANY-TO-ANY VOICE CONVERSION BY END-TO-END EXTRACTING AND FUSING FINE-GRAINED VOICE FRAGMENTS WITH ATTENTION, FRAME RATE UP-CONVERSION USING KEY POINT AGNOSTIC FREQUENCY-SELECTIVE MESH-TO-GRID RESAMPLING, Frame-rate-aware Aggregation For Efficient Video Super-resolution, FREQUENCY ESTIMATION IN COHERENT, PERIODIC PULSE TRAINS, Frequency-Temporal Attention Network for Singing Melody Extraction, Full-Duplex Multifunction Transceiver with Joint Constant Envelope Transmission and Wideband Reception, FULLSUBNET: A FULL-BAND AND SUB-BAND FUSION MODEL FOR REAL-TIME SINGLE-CHANNEL SPEECH ENHANCEMENT, FULLY-NEURAL APPROACH TO VEHICLE WEIGHING AND STRAIN PREDICTION ON BRIDGES USING WIRELESS ACCELEROMETERS, FUNDAMENTAL FREQUENCY FEATURE NORMALIZATION AND DATA AUGMENTATION FOR CHILD SPEECH RECOGNITION, FUNDAMENTAL TRADE-OFFS IN NOISY SUPER-RESOLUTION WITH SYNTHETIC APERTURES, FUSING INFORMATION STREAMS IN END-TO-END AUDIO-VISUAL SPEECH RECOGNITION, FUSING MULTITASK MODELS BY RECURSIVE LEAST SQUARES, FUSION-BASED DIGITAL IMAGE CORRELATION FRAMEWORK FOR STRAIN MEASUREMENT, FWB-NET: FRONT WHITE BALANCE NETWORK FOR COLOR SHIFT CORRECTION IN SINGLE IMAGE DEHAZING VIA ATMOSPHERIC LIGHT ESTIMATION, GAN-BASED OUT-OF-DOMAIN DETECTION USING BOTH IN-DOMAIN AND OUT-OF-DOMAIN SAMPLES, G-ARRAYS: GEOMETRIC ARRAYS FOR EFFICIENT POINT CLOUD PROCESSING, GATE TRIMMING: ONE-SHOT CHANNEL PRUNING FOR EFFICIENT CONVOLUTIONAL NEURAL NETWORKS, Gating Feature Dense Network for Single Anisotropic MR Image Super-resolution, Gaussian Kernelized Self-Attention for Long Sequence Data and Its Application to CTC-based Speech Recognition, Gaussian Process Temporal-Difference Learning with Scalability and Worst-Case Performance Guarantees, GDTW: A NOVEL DIFFERENTIABLE DTW LOSS FOR TIME SERIES TASKS, GENERAL TOTAL VARIATION REGULARIZED SPARSE BAYESIAN LEARNING FOR ROBUST BLOCK-SPARSE SIGNAL RECOVERY, GENERALIZED KNOWLEDGE DISTILLATION FROM AN ENSEMBLE OF SPECIALIZED TEACHERS LEVERAGING UNSUPERVISED NEURAL CLUSTERING, GENERALIZED POLYTOPIC MATRIX FACTORIZATION, Generalized Thinned Coprime Array for DOA Estimation, GENERATING EMPATHETIC RESPONSES BY INJECTING ANTICIPATED EMOTION, GENERATING HUMAN READABLE TRANSCRIPT FOR AUTOMATIC SPEECH RECOGNITION WITH PRE-TRAINED LANGUAGE MODEL, GENERATING NATURAL QUESTIONS FROM IMAGES FOR MULTIMODAL ASSISTANTS, GENERATIVE SPEECH CODING WITH PREDICTIVE VARIANCE REGULARIZATION, GEOMETRY CONSISTENCY OF AUGMENTED REALITY BASED ON SEMANTICS, GEOM-SPIDER-EM: FASTER VARIANCE REDUCED STOCHASTIC EXPECTATION MAXIMIZATION FOR NONCONVEX FINITE-SUM OPTIMIZATION, GLOBAL-LOCALIZED AGENT GRAPH CONVOLUTION FOR MULTI-AGENT REINFORCEMENT LEARNING, GLOBALLY OPTIMAL BEAMFORMING FOR RATE SPLITTING MULTIPLE ACCESS, GPS-DENIED NAVIGATION USING SAR IMAGES AND NEURAL NETWORKS, GRADRAKER-BASED PREDICTION ALGORITHMS ON MULTI-LAYER GRAPHS, GRADUAL FEDERATED LEARNING USING SIMULATED ANNEALING, GRAMIAN-BASED ADAPTIVE COMBINATION POLICIES FOR DIFFUSION LEARNING OVER NETWORKS, GRANGER CAUSALITY BASED DIRECTIONAL PHASE-AMPLITUDE COUPLING MEASURE, GRAPH ATTENTION AND INTERACTION NETWORK WITH MULTI-TASK LEARNING FOR FACT VERIFICATION, GRAPH ATTENTION NETWORKS FOR SPEAKER VERIFICATION, GRAPH EMBEDDING USING MULTI-LAYER ADJACENT POINT MERGING MODEL, GRAPH ENHANCED QUERY REWRITING FOR SPOKEN LANGUAGE UNDERSTANDING SYSTEM, GRAPH FREQUENCY ANALYSIS OF COVID-19 INCIDENCE TO IDENTIFY COUNTY-LEVEL CONTAGION PATTERNS IN THE UNITED STATES, Graph learning under spectral sparsity constraints, GRAPH NEURAL NETWORK FOR LARGE-SCALE NETWORK LOCALIZATION, GRAPH NEURAL NETWORKS FOR DECENTRALIZED CONTROLLERS, Graph Signal Compression via Task-Based Quantization, GRAPH SIGNAL DENOISING USING NESTED-STRUCTURED DEEP ALGORITHM UNROLLING, Graph signal denoising via unrolling networks, Graph-Adaptive Incremental learning using an ensemble of Gaussian process experts, Graph-Based Pyramid Global Context Reasoning with A Saliency-Aware Projection for COVID-19 Lung Infections Segmentation, GRAPHCOMM: A GRAPH NEURAL NETWORK BASED METHOD FOR MULTI-AGENT REINFORCEMENT LEARNING, Graph-Homomorphic Perturbations for Private Decentralized Learning, GraphNet: Graph Clustering with Deep Neural Networks, GRAPHON AND GRAPH NEURAL NETWORK STABILITY, GRAPHSPEECH: SYNTAX-AWARE GRAPH ATTENTION NETWORK FOR NEURAL SPEECH SYNTHESIS, Grid Optimization for Matrix-based Source Localization under Inhomogeneous Sensor Topology, GROOVE2GROOVE: ONE-SHOT MUSIC STYLE TRANSFER WITH SUPERVISION FROM SYNTHETIC DATA, GTA-NET: GRADUAL TEMPORAL AGGREGATION NETWORK FOR FAST VIDEO DERAINING, Guaranteed reconstruction from integrate-and-fire neurons with alpha synaptic activation, Guided Variational Autoencoder for Speech Enhancement With a Supervised Classifier, HANDLING CLASS IMBALANCE IN LOW-RESOURCE DIALOGUE SYSTEMS BY COMBINING FEW-SHOT CLASSIFICATION AND INTERPOLATION, HANDWRITTEN DIGITS RECONSTRUCTION FROM UNLABELLED EMBEDDINGS, HARDWARE IMPLEMENTATION OF ITERATIVE PROJECTION-AGGREGATION DECODING OF REED-MULLER CODES, HAVE YOU MADE A DECISION?
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