Deep Generalized Method of Moments for Instrumental Variable Analysis


Deep Generalized Unfolding Networks for Image Restoration


Deep Generation of Face Images from Sketches


Deep Generation of Heterogeneous Networks


Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution


Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images


Deep Generative Data Assimilation in Multimodal Setting


Deep Generative Framework for Interactive 3D Terrain Authoring and Manipulation


Deep Generative Model based Rate-Distortion for Image Downscaling Assessment


Deep Generative Model for Image Inpainting with Local Binary Pattern Learning and Spatial Attention


Deep Generative Model for Joint Alignment and Word Representation


Deep Generative Model for Periodic Graphs


Deep Generative Model-Based Generation of Synthetic Individual-Specific Brain MRI Segmentations


Deep Generative Model-based Synthesis of Four-bar Linkage Mechanisms with Target Conditions


Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical Systems


Deep Generative Modeling in Network Science with Applications to Public Policy Research


Deep Generative Modeling of Periodic Variable Stars Using Physical Parameters


Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models


Deep Generative Modeling with Backward Stochastic Differential Equations


Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions


Deep Generative Models for Reject Inference in Credit Scoring


Deep Generative Models on 3D Representations: A Survey


Deep Generative Models-Assisted Automated Labeling for Electron Microscopy Images Segmentation


Deep Generative Models: Complexity, Dimensionality, and Approximation


Deep Generative Networks For Sequence Prediction


Deep Generative Pattern-Set Mixture Models for Nonignorable Missingness


Deep Generative model that uses physical quantities to generate and retrieve solar magnetic active regions


Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection


Deep Geometric Distillation Network for Compressive Sensing MRI


Deep Geometric Prior for Surface Reconstruction


Deep Geometrized Cartoon Line Inbetweening


Deep Geometry Post-Processing for Decompressed Point Clouds


Deep Gradient Learning for Efficient Camouflaged Object Detection


Deep Gradient Projection Networks for Pan-sharpening


Deep Graph Anomaly Detection: A Survey and New Perspectives


Deep Graph Clustering via Dual Correlation Reduction


Deep Graph Convolutional Encoders for Structured Data to Text Generation


Deep Graph Convolutional Network and LSTM based approach for predicting drug-target binding affinity


Deep Graph Convolutional Networks for Wind Speed Prediction


Deep Graph Matching under Quadratic Constraint


Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptive Residual Module


Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates


Deep Graph Representation Learning and Optimization for Influence Maximization


Deep Graph Stream SVDD: Anomaly Detection in Cyber-Physical Systems


Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks


Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration


Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation


Deep Graphs - a general framework to represent and analyze heterogeneous complex systems across scales


Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information


Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models


Deep Guess acceleration for explainable image reconstruction in sparse-view CT


Deep Hankel matrices with random elements


Deep Hash Distillation for Image Retrieval


Deep Hashing Network for Unsupervised Domain Adaptation


Deep Hashing via Householder Quantization


Deep Hashing with Category Mask for Fast Video Retrieval


Deep Hedging with Options Using the Implied Volatility Surface


Deep Height Decoupling for Precise Vision-based 3D Occupancy Prediction


Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition


Deep Hierarchical Graph Alignment Kernels


Deep High Dynamic Range Imaging with Large Foreground Motions


Deep Historical Borrowing Framework to Prospectively and Simultaneously Synthesize Control Information in Confirmatory Clinical Trials with Multiple Endpoints


Deep Homography Estimation for Dynamic Scenes


Deep Homography Estimation for Visual Place Recognition


Deep Homography Estimation in Dynamic Surgical Scenes for Laparoscopic Camera Motion Extraction


Deep Hough Transform for Semantic Line Detection


Deep Hypergraph U-Net for Brain Graph Embedding and Classification


Deep Hyperspectral Prior: Denoising, Inpainting, Super-Resolution


Deep Hyperspectral Unmixing using Transformer Network


Deep Hyperspectral and Multispectral Image Fusion with Inter-image Variability


Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images


Deep IDA: A Deep Learning Method for Integrative Discriminant Analysis of Multi-View Data with Feature Ranking -- An Application to COVID-19 severity


Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks


Deep Image Clustering with Category-Style Representation


Deep Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks


Deep Image Composition Meets Image Forgery


Deep Image Compression using Decoder Side Information


Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis


Deep Image Harmonization by Bridging the Reality Gap


Deep Image Harmonization in Dual Color Spaces


Deep Image Harmonization with Learnable Augmentation


Deep Image Matting with Flexible Guidance Input


Deep Image Matting: A Comprehensive Survey


Deep Image Restoration For Image Anti-Forensics


Deep Imbalanced Regression to Estimate Vascular Age from PPG Data: a Novel Digital Biomarker for Cardiovascular Health


Deep Imbalanced Time-series Forecasting via Local Discrepancy Density


Deep Imitation Learning for Bimanual Robotic Manipulation


Deep Imitative Models for Flexible Inference, Planning, and Control


Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning


Deep Implicit Moving Least-Squares Functions for 3D Reconstruction


Deep Implicit Statistical Shape Models for 3D Medical Image Delineation


Deep Implicit Templates for 3D Shape Representation


Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition


Deep Indexed Active Learning for Matching Heterogeneous Entity Representations


Deep Industrial Image Anomaly Detection: A Survey


Deep Inertial Poser: Learning to Reconstruct Human Pose from Sparse Inertial Measurements in Real Time


Deep Injective Prior for Inverse Scattering


Deep Insights into Noisy Pseudo Labeling on Graph Data


Deep Instruction Tuning for Segment Anything Model


Deep Integro-Difference Equation Models for Spatio-Temporal Forecasting


Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation


Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation


Deep Interest with Hierarchical Attention Network for Click-Through Rate Prediction


Deep Intra-Image Contrastive Learning for Weakly Supervised One-Step Person Search


Deep Intrinsically Motivated Exploration in Continuous Control


Deep Inverse Design for High-Level Synthesis


Deep Inverse Reinforcement Learning for Structural Evolution of Small Molecules


Deep Isolation Forest for Anomaly Detection


Deep Isometric Learning for Visual Recognition


Deep Item-based Collaborative Filtering for Top-N Recommendation


Deep Iterative Residual Convolutional Network for Single Image Super-Resolution


Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization


Deep Jansen-Rit Parameter Inference for Model-Driven Analysis of Brain Activity


Deep Joint Source Channel Coding for WirelessImage Transmission with OFDM


Deep Joint Source-Channel Coding Over Cooperative Relay Networks


Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control


Deep Joint Source-Channel Coding with Iterative Source Error Correction


Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings


Deep KKL: Data-driven Output Prediction for Non-Linear Systems


Deep Kernel Learning for Mortality Prediction in the Face of Temporal Shift


Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data


Deep Kernel Posterior Learning under Infinite Variance Prior Weights


Deep Kernel Principal Component Analysis for Multi-level Feature Learning


Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals


Deep Kernels with Probabilistic Embeddings for Small-Data Learning


Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints


Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing


Deep Koopman Operator with Control for Nonlinear Systems


Deep Koopman operator framework for causal discovery in nonlinear dynamical systems


Deep Label Distribution Learning with Label Ambiguity


Deep Laparoscopic Stereo Matching with Transformers


Deep Laplacian Pyramid Network for Text Images Super-Resolution


Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space


Deep Latent State Space Models for Time-Series Generation


Deep Latent Variable Modeling of Physiological Signals


Deep Learning & Software Engineering: State of Research and Future Directions


Deep Learning Agents Trained For Avoidance Behave Like Hawks And Doves


Deep Learning Alternatives of the Kolmogorov Superposition Theorem


Deep Learning Analysis and Age Prediction from Shoeprints


Deep Learning Anti-patterns from Code Metrics History


Deep Learning Approach for Very Similar Objects Recognition Application on Chihuahua and Muffin Problem


Deep Learning Assisted Calibrated Beam Training for Millimeter-Wave Communication Systems


Deep Learning Assisted Data Inspection for Radio Astronomy


Deep Learning Based Automatic Modulation Recognition: Models, Datasets, and Challenges


Deep Learning Based Cloud Cover Parameterization for ICON


Deep Learning Based Joint Beamforming Design in IRS-Assisted Secure Communications


Deep Learning Based Large-Scale Automatic Satellite Crosswalk Classification


Deep Learning Based MAC via Joint Channel Access and Rate Adaptation


Deep Learning Based Multi-Label Text Classification of UNGA Resolutions


Deep Learning Based Object Tracking in Walking Droplet and Granular Intruder Experiments


Deep Learning Based Segmentation of Various Brain Lesions for Radiosurgery


Deep Learning Based Speckle Filtering for Polarimetric SAR Images. Application to Sentinel-1


Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink


Deep Learning Based Superconductivity: Prediction and Experimental Tests


Deep Learning Based Vehicle Make-Model Classification


Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches


Deep Learning Calabi-Yau four folds with hybrid and recurrent neural network architectures


Deep Learning Chromatic and Clique Numbers of Graphs


Deep Learning Classification of Lake Zooplankton


Deep Learning Collective Variables from Transition Path Ensemble


Deep Learning Convective Flow Using Conditional Generative Adversarial Networks


Deep Learning Convolutional Networks for Multiphoton Microscopy Vasculature Segmentation


Deep Learning Cosmic Ray Transport from Density Maps of Simulated, Turbulent Gas


Deep Learning Detection of Inaccurate Smart Electricity Meters: A Case Study


Deep Learning Development Environment in Virtual Reality


Deep Learning Enabled Semantic Communication Systems


Deep Learning Enabled Semantic Communications with Speech Recognition and Synthesis


Deep Learning Enabled Time-Lapse 3D Cell Analysis


Deep Learning Enhanced Dynamic Mode Decomposition


Deep Learning Evidence for Global Optimality of Gerver's Sofa


Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements


Deep Learning Framework From Scratch Using Numpy


Deep Learning Framework Testing via Model Mutation: How Far Are We?


Deep Learning Framework for Measuring the Digital Strategy of Companies from Earnings Calls


Deep Learning Framework for Multi-Round Service Bundle Recommendation in Iterative Mashup Development


Deep Learning Framework for Real-time Fetal Brain Segmentation in MRI


Deep Learning Frameworks for Pavement Distress Classification: A Comparative Analysis


Deep Learning From Crowdsourced Labels: Coupled Cross-entropy Minimization, Identifiability, and Regularization


Deep Learning Generates Synthetic Cancer Histology for Explainability and Education


Deep Learning Inference Frameworks Benchmark


Deep Learning Jet Substructure from Two-Particle Correlation


Deep Learning Meets Teleconnections: Improving S2S Predictions for European Winter Weather


Deep Learning Methods for Calibrated Photometric Stereo and Beyond


Deep Learning Methods for Detecting Thermal Runaway Events in Battery Production Lines


Deep Learning Methods for Efficient Large Scale Video Labeling


Deep Learning Methods for Proximal Inference via Maximum Moment Restriction


Deep Learning Methods for S Shaped Utility Maximisation with a Random Reference Point


Deep Learning Metric Detectors in General Relativity


Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey


Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends


Deep Learning Model for Finding New Superconductors


Deep Learning Models for Atypical Serotonergic Cells Recognition


Deep Learning Models for Flood Predictions in South Florida


Deep Learning Models for River Classification at Sub-Meter Resolutions from Multispectral and Panchromatic Commercial Satellite Imagery


Deep Learning Predictive Band Switching in Wireless Networks


Deep Learning Predicts Mammographic Breast Density in Clinical Breast Ultrasound Images


Deep Learning Predicts Prevalent and Incident Parkinson's Disease From UK Biobank Fundus Imaging


Deep Learning Searches for Vector-Like Leptons at the LHC and Electron/Muon Colliders


Deep Learning Segmentation of Complex Features in Atomic-Resolution Phase Contrast Transmission Electron Microscopy Images


Deep Learning Segmentation of Spiral Arms and Bars


Deep Learning Sparse Ternary Projections for Compressed Sensing of Images


Deep Learning Super-Diffusion in Multiplex Networks


Deep Learning Supersampled Scanning Transmission Electron Microscopy


Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond


Deep Learning Unresolved Lensed Lightcurves


Deep Learning Weight Pruning with RMT-SVD: Increasing Accuracy and Reducing Overfitting


Deep Learning and Foundation Models for Weather Prediction: A Survey


Deep Learning and Large Language Models for Audio and Text Analysis in Predicting Suicidal Acts in Chinese Psychological Support Hotlines


Deep Learning and Linear Programming for Automated Ensemble Forecasting and Interpretation


Deep Learning and Symbolic Regression for Discovering Parametric Equations


Deep Learning and Transfer Learning Architectures for English Premier League Player Performance Forecasting


Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem


Deep Learning as a Mixed Convex-Combinatorial Optimization Problem


Deep Learning at Scale for the Construction of Galaxy Catalogs in the Dark Energy Survey


Deep Learning based Food Instance Segmentation using Synthetic Data


Deep Learning based Full-reference and No-reference Quality Assessment Models for Compressed UGC Videos


Deep Learning based Intelligent Coin-tap Test for Defect Recognition


Deep Learning based Large Scale Visual Recommendation and Search for E-Commerce


Deep Learning based Modeling of Wireless Communication Channel with Fading


Deep Learning based NAS Score and Fibrosis Stage Prediction from CT and Pathology Data


Deep Learning based Switching Filter for Impulsive Noise Removal in Color Images


Deep Learning based Virtual Point Tracking for Real-Time Target-less Dynamic Displacement Measurement in Railway Applications


Deep Learning for 3D Point Cloud Understanding: A Survey


Deep Learning for Abstract Argumentation Semantics


Deep Learning for Android Malware Defenses: a Systematic Literature Review


Deep Learning for Automatic Pneumonia Detection


Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure


Deep Learning for Breast MRI Style Transfer with Limited Training Data


Deep Learning for Camera Calibration and Beyond: A Survey


Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms


Deep Learning for Classification Tasks on Geospatial Vector Polygons


Deep Learning for Classifying and Characterizing Atmospheric Ducting within the Maritime Setting


Deep Learning for Community Detection: Progress, Challenges and Opportunities


Deep Learning for Cornea Microscopy Blind Deblurring


Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook


Deep Learning for Data-Driven Districting-and-Routing


Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series


Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound


Deep Learning for Digital Asset Limit Order Books


Deep Learning for Early Alzheimer Disease Detection with MRI Scans


Deep Learning for Energy Market Contracts: Dynkin Game with Doubly RBSDEs


Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks


Deep Learning for Face Anti-Spoofing: A Survey


Deep Learning for Forensic Identification of Source


Deep Learning for Frame Error Prediction using a DARPA Spectrum Collaboration Challenge (SC2) Dataset


Deep Learning for Free-Hand Sketch: A Survey


Deep Learning for General Game Playing with Ludii and Polygames


Deep Learning for Hate Speech Detection in Tweets


Deep Learning for Hate Speech Detection: A Comparative Study


Deep Learning for Hybrid Beamforming with Finite Feedback in GSM Aided mmWave MIMO Systems


Deep Learning for Identifying Iran's Cultural Heritage Buildings in Need of Conservation Using Image Classification and Grad-CAM


Deep Learning for Individual Heterogeneity


Deep Learning for Interference Identification: Band, Training SNR, and Sample Selection


Deep Learning for Joint Source-Channel Coding of Text


Deep Learning for Koopman Operator Estimation in Idealized Atmospheric Dynamics


Deep Learning for Large-Scale Traffic-Sign Detection and Recognition


Deep Learning for Leopard Individual Identification: An Adaptive Angular Margin Approach


Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck Cancer


Deep Learning for Massive MIMO CSI Feedback


Deep Learning for Massive MIMO with 1-Bit ADCs: When More Antennas Need Fewer Pilots


Deep Learning for Morphological Identification of Extended Radio Galaxies using Weak Labels


Deep Learning for Multi-Country GDP Prediction: A Study of Model Performance and Data Impact


Deep Learning for Needle Detection in a Cannulation Simulator


Deep Learning for Network Traffic Classification


Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches


Deep Learning for Post-Processing Ensemble Weather Forecasts


Deep Learning for Precision Agriculture: Post-Spraying Evaluation and Deposition Estimation


Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data


Deep Learning for Predictive Business Process Monitoring: Review and Benchmark


Deep Learning for Quantile Regression under Right Censoring: DeepQuantreg


Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes


Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid Simulations


Deep Learning for Road Traffic Forecasting: Does it Make a Difference?


Deep Learning for Sea Surface Temperature Reconstruction under Cloud Occlusion


Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations


Deep Learning for Solving and Estimating Dynamic Macro-Finance Models


Deep Learning for Speaker Identification: Architectural Insights from AB-1 Corpus Analysis and Performance Evaluation


Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics


Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction


Deep Learning for Survival Analysis: A Review


Deep Learning for Text Style Transfer: A Survey


Deep Learning for Time Series Anomaly Detection: A Survey


Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey


Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond


Deep Learning for VWAP Execution in Crypto Markets: Beyond the Volume Curve


Deep Learning for Vision-based Prediction: A Survey


Deep Learning for Visual Tracking: A Comprehensive Survey


Deep Learning for Wound Tissue Segmentation: A Comprehensive Evaluation using A Novel Dataset


Deep Learning for the Matrix Element Method


Deep Learning improves identification of Radio Frequency Interference


Deep Learning in Concealed Dense Prediction


Deep Learning in Medical Image Registration: Magic or Mirage?


Deep Learning in Photoacoustic Tomography: Current approaches and future directions


Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent Kernel


Deep Learning in a Generalized HJM-type Framework Through Arbitrage-Free Regularization


Deep Learning is Singular, and That's Good


Deep Learning methodology for the identification of wood species using high-resolution macroscopic images


Deep Learning of DESI Mock Spectra to Find Damped Lyα Systems


Deep Learning of Dynamical System Parameters from Return Maps as Images


Deep Learning of Near Field Beam Focusing in Terahertz Wideband Massive MIMO Systems


Deep Learning of Proteins with Local and Global Regions of Disorder


Deep Learning of Quasar Spectra to Discover and Characterize Damped Lya Systems


Deep Learning of Radiative Atmospheric Transfer with an Autoencoder


Deep Learning of Turbulent Scalar Mixing


Deep Learning of Vortex Induced Vibrations


Deep Learning on Home Drone: Searching for the Optimal Architecture


Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network


Deep Learning on a Data Diet: Finding Important Examples Early in Training


Deep Learning strategies for ProtoDUNE raw data denoising


Deep Learning the Functional Renormalization Group


Deep Learning the Intergalactic Medium using Lyman-alpha Forest at $ 4 \leq z \leq 5$


Deep Learning to Estimate Permeability using Geophysical Data


Deep Learning to Quantify Pulmonary Edema in Chest Radiographs


Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models


Deep Learning under Privileged Information Using Heteroscedastic Dropout


Deep Learning using Rectified Linear Units (ReLU)


Deep Learning with Eigenvalue Decay Regularizer


Deep Learning with Information Fusion and Model Interpretation for Health Monitoring of Fetus based on Long-term Prenatal Electronic Fetal Heart Rate Monitoring Data


Deep Learning with Low Precision by Half-wave Gaussian Quantization


Deep Learning with S-shaped Rectified Linear Activation Units


Deep Learning with Tabular Data: A Self-supervised Approach


Deep Learning--Based Scene Simplification for Bionic Vision


Deep Learning-Assisted Co-registration of Full-Spectral Autofluorescence Lifetime Microscopic Images with H&E-Stained Histology Images


Deep Learning-Based Acoustic Mosquito Detection in Noisy Conditions Using Trainable Kernels and Augmentations


Deep Learning-Based Adaptive Joint Source-Channel Coding using Hypernetworks


Deep Learning-Based Discrete Calibrated Survival Prediction


Deep Learning-Based Feature Extraction in Iris Recognition: Use Existing Models, Fine-tune or Train From Scratch?


Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines


Deep Learning-Based Gait Recognition Using Smartphones in the Wild


Deep Learning-Based Image Compression for Wireless Communications: Impacts on Reliability,Throughput, and Latency


Deep Learning-Based MR Image Re-parameterization


Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records


Deep Learning-Based Object Pose Estimation: A Comprehensive Survey


Deep Learning-Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction


Deep Learning-Based Open Source Toolkit for Eosinophil Detection in Pediatric Eosinophilic Esophagitis


Deep Learning-Based Point Cloud Registration: A Comprehensive Survey and Taxonomy


Deep Learning-Based Position Detection for Hydraulic Cylinders Using Scattering Parameters


Deep Learning-Based Prediction of Suspension Dynamics Performance in Multi-Axle Vehicles


Deep Learning-Based Sentiment Analysis of COVID-19 Vaccination Responses from Twitter Data


Deep Learning-Based Synchronization for Uplink NB-IoT


Deep Learning-Based Video Coding: A Review and A Case Study


Deep Learning-Driven Ultra-High-Definition Image Restoration: A Survey


Deep Learning-Enabled One-Bit DoA Estimation


Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic Data


Deep Learning-Enhanced Variational Monte Carlo Method for Quantum Many-Body Physics


Deep Learning-Enhanced Visual Monitoring in Hazardous Underwater Environments with a Swarm of Micro-Robots


Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics


Deep Learning-based Accelerated MR Cholangiopancreatography without Fully-sampled Data


Deep Learning-based Analysis of Basins of Attraction


Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy


Deep Learning-based Bathymetry Retrieval without In-situ Depths using Remote Sensing Imagery and SfM-MVS DSMs with Data Gaps


Deep Learning-based Channel Estimation for Wideband Hybrid MmWave Massive MIMO


Deep Learning-based Code Reviews: A Paradigm Shift or a Double-Edged Sword?


Deep Learning-based Compression Detection for explainable Face Image Quality Assessment


Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary


Deep Learning-based Damage Mapping with InSAR Coherence Time Series


Deep Learning-based Detection and Segmentation of Edge-on and Highly Inclined Galaxies


Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis


Deep Learning-based Framework for Automatic Cranial Defect Reconstruction and Implant Modeling


Deep Learning-based Group Causal Inference in Multivariate Time-series


Deep Learning-based MRI Reconstruction with Artificial Fourier Transform Network (AFTNet)


Deep Learning-based Non-Intrusive Multi-Objective Speech Assessment Model with Cross-Domain Features


Deep Learning-based Patient Re-identification Is able to Exploit the Biometric Nature of Medical Chest X-ray Data


Deep Learning-based Pipeline for Module Power Prediction from EL Measurements


Deep Learning-based Predictive Control of Battery Management for Frequency Regulation


Deep Learning-based Resource Allocation for Infrastructure Resilience


Deep Learning-based Schemes for Singularly Perturbed Convection-Diffusion Problems


Deep Learning-based Type Identification of Volumetric MRI Sequences


Deep Learning-based approaches for automatic detection of shell nouns and evaluation on WikiText-2


Deep Learning-based extraction of surface wave dispersion curves from seismic shot gathers


Deep Learning-enabled MCMC for Probabilistic State Estimation in District Heating Grids


Deep Learning-enabled Spatial Phase Unwrapping for 3D Measurement


Deep Learning-powered Iterative Combinatorial Auctions


Deep Least Squares Alignment for Unsupervised Domain Adaptation


Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies


Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration Network


Deep Linear Networks can Benignly Overfit when Shallow Ones Do


Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression


Deep Low-Shot Learning for Biological Image Classification and Visualization from Limited Training Samples


Deep Low-rank plus Sparse Network for Dynamic MR Imaging


Deep Lucas-Kanade Homography for Multimodal Image Alignment


Deep MDP: A Modular Framework for Multi-Object Tracking


Deep Magnification-Flexible Upsampling over 3D Point Clouds


Deep Manifold Embedding for Hyperspectral Image Classification


Deep Manifold Learning for Dynamic MR Imaging


Deep Markov Random Field for Image Modeling


Deep Markov Spatio-Temporal Factorization


Deep Masked Graph Matching for Correspondence Identification in Collaborative Perception


Deep Matching Prior: Test-Time Optimization for Dense Correspondence


Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional Networks


Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks


Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning


Deep Meta Functionals for Shape Representation


Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding


Deep Metric Learning for Unsupervised Remote Sensing Change Detection


Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals


Deep Metric Learning via Lifted Structured Feature Embedding


Deep Metric Learning with Chance Constraints


Deep Metric Loss for Multimodal Learning


Deep Minimax Classifiers for Imbalanced Datasets with a Small Number of Minority Samples


Deep Model Compression Also Helps Models Capture Ambiguity


Deep Model Transferability from Attribution Maps


Deep Model-Based 6D Pose Refinement in RGB


Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization


Deep Model-Based Super-Resolution with Non-uniform Blur


Deep Modeling and Optimization of Medical Image Classification


Deep Modular Co-Attention Networks for Visual Question Answering


Deep Momentum Multi-Marginal Schrödinger Bridge


Deep Monocular Hazard Detection for Safe Small Body Landing


Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction


Deep Multi-Branch CNN Architecture for Early Alzheimer's Detection from Brain MRIs


Deep Multi-Center Learning for Face Alignment


Deep Multi-Frame MVDR Filtering for Single-Microphone Speech Enhancement


Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization


Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories


Deep Multi-Representation Model for Click-Through Rate Prediction


Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network


Deep Multi-Threshold Spiking-UNet for Image Processing


Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction


Deep Multi-View Subspace Clustering with Anchor Graph


Deep Multi-attributed Graph Translation with Node-Edge Co-evolution


Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring


Deep Multi-view Depth Estimation with Predicted Uncertainty


Deep Multilayer Perceptrons for Dimensional Speech Emotion Recognition


Deep Multimodal Collaborative Learning for Polyp Re-Identification


Deep Multimodal Feature Encoding for Video Ordering


Deep Multimodal Fusion for Generalizable Person Re-identification


Deep Multimodal Fusion of Data with Heterogeneous Dimensionality via Projective Networks


Deep Multimodal Guidance for Medical Image Classification


Deep Multimodal Image-Repurposing Detection


Deep Multimodal Learning for Real-Time DDoS Attacks Detection in Internet of Vehicles


Deep Multimodal Neural Architecture Search


Deep Multimodal Subspace Clustering Networks


Deep Multimodal Transfer-Learned Regression in Data-Poor Domains


Deep Multimodality Learning for UAV Video Aesthetic Quality Assessment


Deep Multiview Clustering by Contrasting Cluster Assignments


Deep Music Retrieval for Fine-Grained Videos by Exploiting Cross-Modal-Encoded Voice-Overs


Deep N-ary Error Correcting Output Codes


Deep Natural Language Feature Learning for Interpretable Prediction


Deep Neighbor Layer Aggregation for Lightweight Self-Supervised Monocular Depth Estimation


Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time


Deep Network Classification by Scattering and Homotopy Dictionary Learning


Deep Network Embedding for Graph Representation Learning in Signed Networks


Deep Network Ensemble Learning applied to Image Classification using CNN Trees


Deep Network Uncertainty Maps for Indoor Navigation


Deep Networks Always Grok and Here is Why


Deep Neural Aggregation for Recommending Items to Group of Users


Deep Neural Convolutive Matrix Factorization for Articulatory Representation Decomposition


Deep Neural Dynamic Bayesian Networks applied to EEG sleep spindles modeling


Deep Neural Machine Translation with Weakly-Recurrent Units


Deep Neural Models for color discrimination and color constancy


Deep Neural Network (DNN) for Water/Fat Separation: Supervised Training, Unsupervised Training, and No Training


Deep Neural Network Based Subspace Learning of Robotic Manipulator Workspace Mapping


Deep Neural Network Benchmarks for Selective Classification


Deep Neural Network Classifier for Multi-dimensional Functional Data


Deep Neural Network Compression with Single and Multiple Level Quantization


Deep Neural Network Ensembles for Time Series Classification


Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning


Deep Neural Network Learning with Second-Order Optimizers -- a Practical Study with a Stochastic Quasi-Gauss-Newton Method


Deep Neural Network as an alternative to Boosted Decision Trees for PID


Deep Neural Network-assisted improvement of quantum compressed sensing tomography


Deep Neural Networks Guided Ensemble Learning for Point Estimation


Deep Neural Networks Hunting Ultra-Light Dark Matter


Deep Neural Networks Regularization for Structured Output Prediction


Deep Neural Networks Tend To Extrapolate Predictably


Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)


Deep Neural Networks and Tabular Data: A Survey


Deep Neural Networks for Active Wave Breaking Classification


Deep Neural Networks for Creating Reliable PmP Database with a Case Study in Southern California


Deep Neural Networks integrating genomics and histopathological images for predicting stages and survival time-to-event in colon cancer


Deep Neural Networks using a Single Neuron: Folded-in-Time Architecture using Feedback-Modulated Delay Loops


Deep Neural Networks with 3D Point Clouds for Empirical Friction Measurements in Hydrodynamic Flood Models


Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex


Deep Nitsche Method: Deep Ritz Method with Essential Boundary Conditions


Deep Node Ranking for Neuro-symbolic Structural Node Embedding and Classification


Deep Nonparametric Conditional Independence Tests for Images


Deep Nonparametric Estimation of Discrete Conditional Distributions via Smoothed Dyadic Partitioning


Deep Normalizing Flows for State Estimation


Deep Normed Embeddings for Patient Representation


Deep OC-SORT: Multi-Pedestrian Tracking by Adaptive Re-Identification


Deep Object-Centric Representations for Generalizable Robot Learning


Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images


Deep One-Class Classification via Interpolated Gaussian Descriptor


Deep Online Probability Aggregation Clustering


Deep Open Intent Classification with Adaptive Decision Boundary


Deep Operator Neural Network Model Predictive Control


Deep Optics for Video Snapshot Compressive Imaging


Deep Optimal Timing Strategies for Time Series


Deep Optimal Transport for Domain Adaptation on SPD Manifolds


Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration


Deep Optimized Multiple Description Image Coding via Scalar Quantization Learning


Deep Optimizer States: Towards Scalable Training of Transformer Models Using Interleaved Offloading


Deep Ordinal Regression for Pledge Specificity Prediction


Deep Orthogonal Hypersphere Compression for Anomaly Detection


Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization


Deep Pairwise Hashing for Cold-start Recommendation


Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super Resolution


Deep Parametric Shape Predictions using Distance Fields


Deep Part Induction from Articulated Object Pairs


Deep Partial Least Squares for Empirical Asset Pricing


Deep Patch Learning for Weakly Supervised Object Classification and Discovery


Deep Permutation Equivariant Structure from Motion


Deep Person Re-Identification with Improved Embedding and Efficient Training


Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks


Deep Perspective Transformation Based Vehicle Localization on Bird's Eye View


Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks


Deep Photo Scan: Semi-Supervised Learning for dealing with the real-world degradation in Smartphone Photo Scanning


Deep Physics-Guided Unrolling Generalization for Compressed Sensing


Deep Plug-and-Play Prior for Hyperspectral Image Restoration


Deep Plug-and-Play Prior for Multitask Channel Reconstruction in Massive MIMO Systems


Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels


Deep Point-wise Prediction for Action Temporal Proposal


Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach


Deep Policies for Width-Based Planning in Pixel Domains


Deep Policy Dynamic Programming for Vehicle Routing Problems


Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers


Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data


Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolution


Deep Prediction of Investor Interest: a Supervised Clustering Approach


Deep Predictive Learning in Neocortex and Pulvinar


Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems


Deep Probabilistic Direction Prediction in 3D with Applications to Directional Dark Matter Detectors


Deep Probabilistic Feature-metric Tracking


Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations


Deep Ptych: Subsampled Fourier Ptychography using Generative Priors


Deep Q learning for fooling neural networks


Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion Detection


Deep Q-learning decoder for depolarizing noise on the toric code


Deep Q-learning: a robust control approach


Deep Quantigraphic Image Enhancement via Comparametric Equations


Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection


Deep Quantized Representation for Enhanced Reconstruction


Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum Experiments


Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion


Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion


Deep RNN Framework for Visual Sequential Applications


Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games


Deep Radial Kernel Networks: Approximating Radially Symmetric Functions with Deep Networks


Deep Radio Interferometric Imaging with POLISH: DSA-2000 and weak lensing


Deep Random Features for Scalable Interpolation of Spatiotemporal Data


Deep Rating Elicitation for New Users in Collaborative Filtering


Deep Rectangling for Image Stitching: A Learning Baseline


Deep Recurrent Encoder: A scalable end-to-end network to model brain signals


Deep Recurrent Gaussian Process with Variational Sparse Spectrum Approximation


Deep Recurrent Model for Individualized Prediction of Alzheimer's Disease Progression


Deep Recurrent NMF for Speech Separation by Unfolding Iterative Thresholding


Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring


Deep Recurrent Neural Networks for Supernovae Classification


Deep Recurrent Q-Learning vs Deep Q-Learning on a simple Partially Observable Markov Decision Process with Minecraft


Deep Recurrent Quantization for Generating Sequential Binary Codes


Deep Recursive Embedding for High-Dimensional Data


Deep Reformulated Laplacian Tone Mapping


Deep Regression 2D-3D Ultrasound Registration for Liver Motion Correction in Focal Tumor Thermal Ablation


Deep Regression Representation Learning with Topology


Deep Regression of Muon Energy with a K-Nearest Neighbor Algorithm


Deep Regression on Manifolds: A 3D Rotation Case Study


Deep Regularized Compound Gaussian Network for Solving Linear Inverse Problems


Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval


Deep Reinforcement Learning Agents for Strategic Production Policies in Microeconomic Market Simulations


Deep Reinforcement Learning Algorithms for Option Hedging


Deep Reinforcement Learning Based Parameter Control in Differential Evolution


Deep Reinforcement Learning Control of Quantum Cartpoles


Deep Reinforcement Learning For Sequence to Sequence Models


Deep Reinforcement Learning Framework for Thoracic Diseases Classification via Prior Knowledge Guidance


Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling


Deep Reinforcement Learning Methods for Structure-Guided Processing Path Optimization


Deep Reinforcement Learning Radio Control and Signal Detection with KeRLym, a Gym RL Agent


Deep Reinforcement Learning at the Edge of the Statistical Precipice


Deep Reinforcement Learning based Automatic Exploration for Navigation in Unknown Environment


Deep Reinforcement Learning based Evasion Generative Adversarial Network for Botnet Detection


Deep Reinforcement Learning based Group Recommender System


Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination


Deep Reinforcement Learning for Active High Frequency Trading


Deep Reinforcement Learning for Active Human Pose Estimation


Deep Reinforcement Learning for Adaptive Exploration of Unknown Environments


Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification


Deep Reinforcement Learning for Black-Box Testing of Android Apps


Deep Reinforcement Learning for Chinese Zero pronoun Resolution


Deep Reinforcement Learning for Conservation Decisions


Deep Reinforcement Learning for Cost-Effective Medical Diagnosis


Deep Reinforcement Learning for Cybersecurity Assessment of Wind Integrated Power Systems


Deep Reinforcement Learning for De-Novo Drug Design


Deep Reinforcement Learning for Delay-Optimized Task Offloading in Vehicular Fog Computing


Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks


Deep Reinforcement Learning for Entity Alignment


Deep Reinforcement Learning for Imbalanced Classification


Deep Reinforcement Learning for Joint Spectrum and Power Allocation in Cellular Networks


Deep Reinforcement Learning for Long-Short Portfolio Optimization


Deep Reinforcement Learning for MIMO Communication with Low-Resolution ADCs


Deep Reinforcement Learning for Market Making Under a Hawkes Process-Based Limit Order Book Model


Deep Reinforcement Learning for Multi-class Imbalanced Training


Deep Reinforcement Learning for Online Optimal Execution Strategies


Deep Reinforcement Learning for Optimal Stopping with Application in Financial Engineering


Deep Reinforcement Learning for Orchestrating Cost-Aware Reconfigurations of vRANs


Deep Reinforcement Learning for Personalized Diagnostic Decision Pathways Using Electronic Health Records: A Comparative Study on Anemia and Systemic Lupus Erythematosus


Deep Reinforcement Learning for Process Synthesis


Deep Reinforcement Learning for Producing Furniture Layout in Indoor Scenes


Deep Reinforcement Learning for Quantum State Preparation with Weak Nonlinear Measurements


Deep Reinforcement Learning for Real-Time Optimization of Pumps in Water Distribution Systems


Deep Reinforcement Learning for Resource Allocation in Business Processes


Deep Reinforcement Learning for Sequential Combinatorial Auctions


Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem


Deep Reinforcement Learning for Swarm Systems


Deep Reinforcement Learning for Synthesizing Functions in Higher-Order Logic


Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard


Deep Reinforcement Learning for Turbulence Modeling in Large Eddy Simulations


Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic


Deep Reinforcement Learning from Hierarchical Preference Design


Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case


Deep Reinforcement Learning of Marked Temporal Point Processes


Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer


Deep Reinforcement Learning using Genetic Algorithm for Parameter Optimization


Deep Reinforcement Learning via Object-Centric Attention


Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning


Deep Reinforcement Learning with Function Properties in Mean Reversion Strategies


Deep Reinforcement Learning with Gradient Eligibility Traces


Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture


Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control


Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games


Deep Reinforcement Learning with Swin Transformers


Deep Reinforcement Learning with Task-Adaptive Retrieval via Hypernetwork


Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads


Deep Reinforcement Learning-Based Mapless Crowd Navigation with Perceived Risk of the Moving Crowd for Mobile Robots


Deep Reinforcement Learning-based Intelligent Traffic Signal Controls with Optimized CO2 emissions


Deep Reinforcement Learning-based Large-scale Robot Exploration


Deep Reinforcement Learning-based Rebalancing Policies for Profit Maximization of Relay Nodes in Payment Channel Networks


Deep Reinforcement Q-Learning for Intelligent Traffic Signal Control with Partial Detection


Deep Reinforcement Trading with Predictable Returns


Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection


Deep Relighting Networks for Image Light Source Manipulation


Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain


Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale


Deep Representations for Time-varying Brain Datasets


Deep Residual Correction Network for Partial Domain Adaptation


Deep Residual Error and Bag-of-Tricks Learning for Gravitational Wave Surrogate Modeling


Deep Residual Flow for Out of Distribution Detection


Deep Residual Learning for Instrument Segmentation in Robotic Surgery


Deep Residual Learning in Spiking Neural Networks


Deep Residual Learning in the JPEG Transform Domain


Deep Residual Neural Networks for Audio Spoofing Detection


Deep Residual Neural Networks for Image in Speech Steganography


Deep Residual Output Layers for Neural Language Generation


Deep Reversible Consistency Learning for Cross-modal Retrieval


Deep Riemannian Networks for End-to-End EEG Decoding


Deep Risk Model: A Deep Learning Solution for Mining Latent Risk Factors to Improve Covariance Matrix Estimation


Deep Rotation Correction without Angle Prior


Deep S$^3$PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models


Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data


Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications


Deep Samplable Observation Model for Global Localization and Kidnapping


Deep Scale-spaces: Equivariance Over Scale


Deep Scattering Network with Max-pooling


Deep Self-Supervised Hierarchical Clustering for Speaker Diarization


Deep Semantic Manipulation of Facial Videos


Deep Semantic Role Labeling with Self-Attention


Deep Semantic Segmentation at the Edge for Autonomous Navigation in Vineyard Rows


Deep Semantic Segmentation in an AUV for Online Posidonia Oceanica Meadows identification


Deep Semantic Statistics Matching (D2SM) Denoising Network


Deep Semantic-Visual Alignment for Zero-Shot Remote Sensing Image Scene Classification


Deep Semi-Random Features for Nonlinear Function Approximation


Deep Semi-Supervised Learning for Time Series Classification


Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation


Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic Segmentation


Deep Sequence Learning with Auxiliary Information for Traffic Prediction


Deep Sequential Mosaicking of Fetoscopic Videos


Deep Shells: Unsupervised Shape Correspondence with Optimal Transport


Deep Signature Algorithm for Multi-dimensional Path-Dependent Options


Deep Signature: Characterization of Large-Scale Molecular Dynamics


Deep Single Shot Musical Instrument Identification using Scalograms


Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrieval


Deep Sketch-Based Modeling: Tips and Tricks


Deep Sketched Output Kernel Regression for Structured Prediction


Deep Slap Fingerprint Segmentation for Juveniles and Adults


Deep Slow Motion Video Reconstruction with Hybrid Imaging System


Deep Snake for Real-Time Instance Segmentation


Deep Soft Procrustes for Markerless Volumetric Sensor Alignment


Deep Space-Time Video Upsampling Networks


Deep Sparse Representation-based Classification


Deep Spatial Learning with Molecular Vibration


Deep Spatial-angular Regularization for Compressive Light Field Reconstruction over Coded Apertures


Deep Spatially and Temporally Aware Similarity Computation for Road Network Constrained Trajectories


Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand


Deep Spatio-Temporal Neural Network for Air Quality Reanalysis


Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction


Deep Spatio-Temporal Wind Power Forecasting


Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data


Deep Spatiotemporal Clutter Filtering of Transthoracic Echocardiographic Images: Leveraging Contextual Attention and Residual Learning


Deep Speaker Vector Normalization with Maximum Gaussianality Training


Deep Spectral Clustering via Joint Spectral Embedding and Kmeans


Deep Spectral Methods for Unsupervised Ultrasound Image Interpretation


Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse


Deep Stable Learning for Out-Of-Distribution Generalization


Deep Stable Representation Learning on Electronic Health Records


Deep Statistical Solver for Distribution System State Estimation


Deep Structural Causal Models for Tractable Counterfactual Inference


Deep Structural Point Process for Learning Temporal Interaction Networks


Deep Structure and Attention Aware Subspace Clustering


Deep Structured Energy-Based Image Inpainting


Deep Structured Instance Graph for Distilling Object Detectors


Deep Structured Mixtures of Gaussian Processes


Deep Structured Neural Network for Event Temporal Relation Extraction


Deep Structured Prediction for Facial Landmark Detection


Deep Structured Prediction with Nonlinear Output Transformations


Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT


Deep Superpixel-based Network for Blind Image Quality Assessment


Deep Surface Normal Estimation with Hierarchical RGB-D Fusion


Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph Neural Networks


Deep Switching State Space Model (DS$^3$M) for Nonlinear Time Series Forecasting with Regime Switching


Deep Symbolic Optimization for Combinatorial Optimization: Accelerating Node Selection by Discovering Potential Heuristics


Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective


Deep Synoptic Monte Carlo Planning in Reconnaissance Blind Chess


Deep Task-Based Analog-to-Digital Conversion


Deep Temporal Sigmoid Belief Networks for Sequence Modeling


Deep Text Mining of Instagram Data Without Strong Supervision


Deep Texture Manifold for Ground Terrain Recognition


Deep Thermal Imaging: Proximate Material Type Recognition in the Wild through Deep Learning of Spatial Surface Temperature Patterns


Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks


Deep Transfer Convolutional Neural Network and Extreme Learning Machine for Lung Nodule Diagnosis on CT images


Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems


Deep Transfer Learning for Automated Diagnosis of Skin Lesions from Photographs


Deep Transfer Learning for Blended Source Identification in Galaxy Survey Data


Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative Study


Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation


Deep Transfer Learning for Multiple Class Novelty Detection


Deep Transfer Learning for Source Code Modeling


Deep Transfer Reinforcement Learning for Text Summarization


Deep Transformer Network for Monocular Pose Estimation of Ship-Based UAV


Deep Transformers Thirst for Comprehensive-Frequency Data


Deep Translation Prior: Test-time Training for Photorealistic Style Transfer


Deep Tree Learning for Zero-shot Face Anti-Spoofing


Deep Triplet Hashing Network for Case-based Medical Image Retrieval


Deep Two-Stage High-Resolution Image Inpainting


Deep Two-View Structure-from-Motion Revisited


Deep UL2DL: Channel Knowledge Transfer from Uplink to Downlink


Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification


Deep Umbra: A Generative Approach for Sunlight Access Computation in Urban Spaces


Deep Understanding of Sign Language for Sign to Subtitle Alignment


Deep Unfolded Simulated Bifurcation for Massive MIMO Signal Detection


Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and Reconstruction


Deep Unfolding Network for Image Super-Resolution


Deep Unfolding for Iterative Stripe Noise Removal


Deep Unfolding of a Proximal Interior Point Method for Image Restoration


Deep Unified Representation for Heterogeneous Recommendation


Deep Unitary Convolutional Neural Networks


Deep Unlearning via Randomized Conditionally Independent Hessians


Deep Unlearning: Fast and Efficient Gradient-free Approach to Class Forgetting


Deep Unrestricted Document Image Rectification


Deep Unrolling Networks with Recurrent Momentum Acceleration for Nonlinear Inverse Problems


Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark


Deep Unsupervised Feature Selection by Discarding Nuisance and Correlated Features


Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs


Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP)


Deep Variational Clustering Framework for Self-labeling of Large-scale Medical Images


Deep Variational Free Energy Approach to Dense Hydrogen


Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control


Deep Variational Models for Collaborative Filtering-based Recommender Systems


Deep Variational Network Toward Blind Image Restoration


Deep Variational Privacy Funnel: General Modeling with Applications in Face Recognition


Deep Variational Reinforcement Learning for POMDPs


Deep Vectorization of Technical Drawings


Deep Vessel Segmentation By Learning Graphical Connectivity


Deep Video Inpainting Guided by Audio-Visual Self-Supervision


Deep Video Matting via Spatio-Temporal Alignment and Aggregation


Deep View Synthesis via Self-Consistent Generative Network


Deep Virtual Markers for Articulated 3D Shapes


Deep Visual Odometry with Events and Frames


Deep Visual-Genetic Biometrics for Taxonomic Classification of Rare Species


Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images


Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep Reinforcement Learning


Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey


Deep Weighted Monte Carlo: A hybrid option pricing framework using neural networks


Deep active inference agents using Monte-Carlo methods


Deep adaptive sampling for surrogate modeling without labeled data


Deep and Fast Approximate Order Independent Transparency


Deep and interpretable regression models for ordinal outcomes


Deep asymptotic expansion method for solving singularly perturbed time-dependent reaction-advection-diffusion equations


Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identification


Deep chroma compression of tone-mapped images


Deep clustering: On the link between discriminative models and K-means


Deep conditional distribution learning via conditional Föllmer flow


Deep contextualized word representations for detecting sarcasm and irony


Deep convolutional acoustic word embeddings using word-pair side information


Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media


Deep convolutional networks for quality assessment of protein folds


Deep convolutional networks on the pitch spiral for musical instrument recognition


Deep convolutional neural network for shape optimization using level-set approach


Deep convolutional neural networks for multi-scale time-series classification and application to disruption prediction in fusion devices


Deep convolutional neural networks for pedestrian detection


Deep convolutional neural networks to restore single-shot electron microscopy images


Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information


Deep dynamic modeling with just two time points: Can we still allow for individual trajectories?


Deep encoder-decoder hierarchical convolutional neural networks for conjugate heat transfer surrogate modeling


Deep equilibrium models as estimators for continuous latent variables


Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation


Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation


Deep follow-up for gravitational-wave inference: a case study with GW151226


Deep generative model conditioned by phase picks for synthesizing labeled seismic waveforms with limited data


Deep generative models as an adversarial attack strategy for tabular machine learning


Deep generative models for unsupervised delamination detection using guided waves


Deep generative models in inversion: a review and development of a new approach based on a variational autoencoder


Deep generative selection models of T and B cell receptor repertoires with soNNia


Deep geometric knowledge distillation with graphs


Deep high-resolution L band spectroscopy in the $β$ Pictoris planetary system


Deep image prior inpainting of ancient frescoes in the Mediterranean Alpine arc


Deep image representations using caption generators


Deep imagination is a close to optimal policy for planning in large decision trees under limited resources


Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time


Deep interpretable architecture for plant diseases classification


Deep into The Domain Shift: Transfer Learning through Dependence Regularization


Deep invariant networks with differentiable augmentation layers


Deep k-NN Defense against Clean-label Data Poisoning Attacks


Deep learning Local Reduced Density Matrices for Many-body Hamiltonian Estimation


Deep learning Markov and Koopman models with physical constraints


Deep learning achieves perfect anomaly detection on 108,308 retinal images including unlearned diseases


Deep learning algorithms for FBSDEs with jumps: Applications to option pricing and a MFG model for smart grids


Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region


Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya


Deep learning and whole-brain networks for biomarker discovery: modeling the dynamics of brain fluctuations in resting-state and cognitive tasks


Deep learning applied to EEG data with different montages using spatial attention


Deep learning approach for identification of HII regions during reionization in 21-cm observations


Deep learning approach to Fourier ptychographic microscopy


Deep learning approaches in food recognition


Deep learning approaches to surrogates for solving the diffusion equation for mechanistic real-world simulations


Deep learning architectural designs for super-resolution of noisy images


Deep learning at the shallow end: Malware classification for non-domain experts


Deep learning based Image Compression for Microscopy Images: An Empirical Study


Deep learning based domain adaptation for mitochondria segmentation on EM volumes


Deep learning based geometric registration for medical images: How accurate can we get without visual features?


Deep learning based parameter search for an agent based social network model


Deep learning based quantum vortex detection in atomic Bose-Einstein condensates


Deep learning cardiac motion analysis for human survival prediction


Deep learning denoising by dimension reduction: Application to the ORION-B line cubes


Deep learning enhanced initial model prediction in elastic FWI: application to marine streamer data


Deep learning enhanced noise spectroscopy of a spin qubit environment


Deep learning fluid flow reconstruction around arbitrary two-dimensional objects from sparse sensors using conformal mappings


Deep learning for 3D human pose estimation and mesh recovery: A survey


Deep learning for COVID-19 topic modelling via Twitter: Alpha, Delta and Omicron


Deep learning for brain metastasis detection and segmentation in longitudinal MRI data


Deep learning for dynamic graphs: models and benchmarks


Deep learning for gravitational-wave data analysis: A resampling white-box approach


Deep learning for multi-label classification of coral conditions in the Indo-Pacific via underwater photogrammetry


Deep learning for post-processing global probabilistic forecasts on sub-seasonal time scales


Deep learning for predicting the occurrence of tipping points


Deep learning for temporal super-resolution 4D Flow MRI


Deep learning for universal linear embeddings of nonlinear dynamics


Deep learning in a bilateral brain with hemispheric specialization


Deep learning in bioinformatics: introduction, application, and perspective in big data era


Deep learning in magnetic resonance prostate segmentation: A review and a new perspective


Deep learning in motion deblurring: current status, benchmarks and future prospects


Deep learning long-range information in undirected graphs with wave networks


Deep learning methods for the computation of vibrational wavefunctions


Deep learning model solves change point detection for multiple change types


Deep learning models are not robust against noise in clinical text


Deep learning models for predicting RNA degradation via dual crowdsourcing


Deep learning observables in computational fluid dynamics


Deep learning of experimental electrochemistry for battery cathodes across diverse compositions


Deep learning of free boundary and Stefan problems


Deep learning of interfacial curvature: a symmetry-preserving approach for the volume of fluid method


Deep learning of quantum entanglement from incomplete measurements


Deep learning of thermodynamics-aware reduced-order models from data


Deep learning optimal molecular scintillators for dark matter direct detection


Deep learning path-like collective variable for enhanced sampling molecular dynamics


Deep learning phase recovery: data-driven, physics-driven, or combining both?


Deep learning reveals hidden interactions in complex systems


Deep learning the spanwise-averaged Navier--Stokes equations


Deep learning to discover and predict dynamics on an inertial manifold


Deep learning to generate in silico chemical property libraries and candidate molecules for small molecule identification in complex samples


Deep learning unflooding for robust subsalt waveform inversion


Deep learning using a biophysical model for Robust and Accelerated Reconstruction (RoAR) of quantitative and artifact-free R2* images


Deep learning via LSTM models for COVID-19 infection forecasting in India


Deep learning waveform anomaly detector for numerical relativity catalogs


Deep learning with 4D spatio-temporal data representations for OCT-based force estimation


Deep learning with asymmetric connections and Hebbian updates


Deep learning with photosensor timing information as a background rejection method for the Cherenkov Telescope Array


Deep learning with plasma plume image sequences for anomaly detection and prediction of growth kinetics during pulsed laser deposition


Deep learning with self-supervision and uncertainty regularization to count fish in underwater images


Deep learning with transfer functions: new applications in system identification


Deep learning, deep change? Mapping the development of the Artificial Intelligence General Purpose Technology


Deep learning, machine vision in agriculture in 2021


Deep learning-based Crop Row Detection for Infield Navigation of Agri-Robots


Deep learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-Free Object Detector


Deep learning-based auto-contouring of organs/structures-at-risk for pediatric upper abdominal radiotherapy


Deep learning-based bias transfer for overcoming laboratory differences of microscopic images


Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation


Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images


Deep learning-based deconvolution for interferometric radio transient reconstruction


Deep learning-based denoising for fast time-resolved flame emission spectroscopy in high-pressure combustion environment


Deep learning-based estimation of time-dependent parameters in Markov models with application to nonlinear regression and SDEs


Deep learning-based estimation of whole-body kinematics from multi-view images


Deep learning-based holography for T-linear resistivity


Deep learning-based identification of sub-nuclear structures in FIB-SEM images


Deep learning-based interactive segmentation in remote sensing


Deep learning-based method for segmenting epithelial layer of tubules in histopathological images of testicular tissue


Deep learning-based reduced order models in cardiac electrophysiology


Deep learning-based spatio-temporal fusion for high-fidelity ultra-high-speed x-ray radiography


Deep learning-based stereo camera multi-video synchronization


Deep learning-based super-resolution fluorescence microscopy on small datasets


Deep learning-based synthetic-CT generation in radiotherapy and PET: a review


Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences


Deep least-squares methods: an unsupervised learning-based numerical method for solving elliptic PDEs


Deep linear networks for regression are implicitly regularized towards flat minima


Deep localization of protein structures in fluorescence microscopy images


Deep manifold learning reveals hidden dynamics of proteasome autoregulation


Deep motion estimation for parallel inter-frame prediction in video compression


Deep multi-metric learning for text-independent speaker verification


Deep multitask neural networks for solving some stochastic optimal control problems


Deep neural decoders for near term fault-tolerant experiments


Deep neural network initialization with decision trees


Deep neural networks can be improved using human-derived contextual expectations


Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization


Deep neural networks for classifying complex features in diffraction images


Deep neural networks for high harmonic spectroscopy in solids


Deep neural networks on diffeomorphism groups for optimal shape reparameterization


Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility


Deep neural operators can predict the real-time response of floating offshore structures under irregular waves


Deep object detection for waterbird monitoring using aerial imagery


Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks


Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition


Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems


Deep quantum neural networks equipped with backpropagation on a superconducting processor


Deep reinforcement learning for feedback control in a collective flashing ratchet


Deep reinforcement learning for irrigation scheduling using high-dimensional sensor feedback


Deep reinforcement learning for large-scale epidemic control


Deep reinforcement learning for the olfactory search POMDP: a quantitative benchmark


Deep reinforcement learning uncovers processes for separating azeotropic mixtures without prior knowledge


Deep reinforcement learning with time-scale invariant memory


Deep reinforcement learning-designed radiofrequency waveform in MRI


Deep residual detection of radio frequency interference for FAST


Deep searches for X-ray pulsations from Scorpius X-1 and Cygnus X-2 in support of continuous gravitational wave searches


Deep self-supervised learning with visualisation for automatic gesture recognition


Deep sound-field denoiser: optically-measured sound-field denoising using deep neural network


Deep spatial context: when attention-based models meet spatial regression


Deep speckle correlation: a deep learning approach towards scalable imaging through scattering media


Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systems


Deep traffic light detection by overlaying synthetic context on arbitrary natural images


Deep transfer learning in the assessment of the quality of protein models


Deep transfer operator learning for partial differential equations under conditional shift


Deep transformation models for functional outcome prediction after acute ischemic stroke


Deep unfolding of the weighted MMSE beamforming algorithm


Deep unrolled primal dual network for TOF-PET list-mode image reconstruction


Deep unrolling Shrinkage Network for Dynamic MR imaging


Deep water wave cloaking using a multi-layered buoyant plate


Deep xVA solver -- A neural network based counterparty credit risk management framework


Deep(er) Reconstruction of Imaging Cherenkov Detectors with Swin Transformers and Normalizing Flow Models


Deep, convergent, unrolled half-quadratic splitting for image deconvolution


Deep-BIAS: Detecting Structural Bias using Explainable AI


Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning


Deep-CR MTLR: a Multi-Modal Approach for Cancer Survival Prediction with Competing Risks


Deep-Disaster: Unsupervised Disaster Detection and Localization Using Visual Data


Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA


Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems


Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis


Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient Detection


Deep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment


Deep-Learned Approximate Message Passing for Asynchronous Massive Connectivity


Deep-Learning Based Linear Precoding for MIMO Channels with Finite-Alphabet Signaling


Deep-Learning Density Functional Theory Hamiltonian for Efficient ab initio Electronic-Structure Calculation


Deep-Learning Estimation of Band Gap with the Reading-Periodic-Table Method and Periodic Convolution Layer


Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography


Deep-Learning-Aided Distributed Clock Synchronization for Wireless Networks


Deep-Learning-Assisted Configuration of Reconfigurable Intelligent Surfaces in Dynamic rich-scattering Environments


Deep-Learning-Based Computer Vision Approach For The Segmentation Of Ball Deliveries And Tracking In Cricket


Deep-Learning-Based Precipitation Nowcasting with Ground Weather Station Data and Radar Data


Deep-Learning-Based Radio-Frequency Side-Channel Attack on Quantum Key Distribution


Deep-MDS Framework for Recovering the 3D Shape of 2D Landmarks from a Single Image


Deep-MacroFin: Informed Equilibrium Neural Network for Continuous Time Economic Models


Deep-OCTA: Ensemble Deep Learning Approaches for Diabetic Retinopathy Analysis on OCTA Images


Deep-PANTHER: Learning-Based Perception-Aware Trajectory Planner in Dynamic Environments


Deep-Person: Learning Discriminative Deep Features for Person Re-Identification


Deep-PowerX: A Deep Learning-Based Framework for Low-Power Approximate Logic Synthesis


Deep-Q Learning with Hybrid Quantum Neural Network on Solving Maze Problems


Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networks


Deep-Reinforcement-Learning-based Path Planning for Industrial Robots using Distance Sensors as Observation


Deep-Steiner: Learning to Solve the Euclidean Steiner Tree Problem


Deep-TEMPEST: Using Deep Learning to Eavesdrop on HDMI from its Unintended Electromagnetic Emanations


Deep-Wide Learning Assistance for Insect Pest Classification


Deep-learning Assisted Detection and Quantification of (oo)cysts of Giardia and Cryptosporidium on Smartphone Microscopy Images


Deep-learning Optical Flow Outperforms PIV in Obtaining Velocity Fields from Active Nematics


Deep-learning Real/Bogus classification for the Tomo-e Gozen transient survey


Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2


Deep-learning the Latent Space of Light Transport


Deep-learning-based Early Fixing for Gas-lifted Oil Production Optimization: Supervised and Weakly-supervised Approaches


Deep-learning-based acceleration of MRI for radiotherapy planning of pediatric patients with brain tumors


Deep-learning-based decomposition of overlapping-sparse images: application at the vertex of neutrino interactions


Deep-learning-driven end-to-end metalens imaging


Deep-learning-enabled Brain Hemodynamic Mapping Using Resting-state fMRI


Deep-learning-powered data analysis in plankton ecology


Deep-level transient spectroscopy of the charged defects in p-i-n perovskite solar cells induced by light-soaking


Deep-quantile-regression-based surrogate model for joint chance-constrained optimal power flow with renewable generation


Deep-speare: A Joint Neural Model of Poetic Language, Meter and Rhyme


DeepAAT: Deep Automated Aerial Triangulation for Fast UAV-based Mapping


DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications


DeepAerialMapper: Deep Learning-based Semi-automatic HD Map Creation for Highly Automated Vehicles


DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks


DeepAlign: Alignment-based Process Anomaly Correction using Recurrent Neural Networks


DeepAngle: Fast calculation of contact angles in tomography images using deep learning


DeepAoANet: Learning Angle of Arrival from Software Defined Radios with Deep Neural Networks


DeepAqua: Self-Supervised Semantic Segmentation of Wetland Surface Water Extent with SAR Images using Knowledge Distillation


DeepArUco++: Improved detection of square fiducial markers in challenging lighting conditions


DeepAtom: A Framework for Protein-Ligand Binding Affinity Prediction


DeepBBS: Deep Best Buddies for Point Cloud Registration


DeepBeam: Deep Waveform Learning for Coordination-Free Beam Management in mmWave Networks


DeepBern-Nets: Taming the Complexity of Certifying Neural Networks using Bernstein Polynomial Activations and Precise Bound Propagation


DeepBranchTracer: A Generally-Applicable Approach to Curvilinear Structure Reconstruction Using Multi-Feature Learning


DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs


DeepCA: Deep Learning-based 3D Coronary Artery Tree Reconstruction from Two 2D Non-simultaneous X-ray Angiography Projections


DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks


DeepCAD: A Deep Generative Network for Computer-Aided Design Models


DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning


DeepCEL0 for 2D Single Molecule Localization in Fluorescence Microscopy


DeepCENT: Prediction of Censored Event Time via Deep Learning


DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks


DeepCL: Deep Change Feature Learning on Remote Sensing Images in the Metric Space


DeepCLR: Correspondence-Less Architecture for Deep End-to-End Point Cloud Registration


DeepCPCFG: Deep Learning and Context Free Grammars for End-to-End Information Extraction


DeepCRF: Deep Learning-Enhanced CSI-Based RF Fingerprinting for Channel-Resilient WiFi Device Identification


DeepCSI: Rethinking Wi-Fi Radio Fingerprinting Through MU-MIMO CSI Feedback Deep Learning


DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning


DeepCache: Principled Cache for Mobile Deep Vision


DeepCalliFont: Few-shot Chinese Calligraphy Font Synthesis by Integrating Dual-modality Generative Models


DeepCapture: Image Spam Detection Using Deep Learning and Data Augmentation


DeepCatra: Learning Flow- and Graph-based Behaviors for Android Malware Detection


DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization


DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification


DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning


DeepCollide: Scalable Data-Driven High DoF Configuration Space Modeling using Implicit Neural Representations


DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity Recognition


DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning


DeepCorrect: Correcting DNN models against Image Distortions


DeepCover: Advancing RNN Test Coverage and Online Error Prediction using State Machine Extraction


DeepCritic: Deliberate Critique with Large Language Models


DeepCrysTet: A Deep Learning Approach Using Tetrahedral Mesh for Predicting Properties of Crystalline Materials


DeepCurrents: Learning Implicit Representations of Shapes with Boundaries


DeepCuts: Single-Shot Interpretability based Pruning for BERT


DeepDC: Deep Distance Correlation as a Perceptual Image Quality Evaluator


DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations


DeepDFA: Automata Learning through Neural Probabilistic Relaxations


DeepDISC-photoz: Deep Learning-Based Photometric Redshift Estimation for Rubin LSST


DeepDPM: Deep Clustering With an Unknown Number of Clusters


DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection


DeepDSL: A Compilation-based Domain-Specific Language for Deep Learning


DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction


DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts using a Single Camera


DeepDecipher: Accessing and Investigating Neuron Activation in Large Language Models


DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs


DeepDiff: Deep-learning for predicting Differential gene expression from histone modifications


DeepDiffusion: Unsupervised Learning of Retrieval-adapted Representations via Diffusion-based Ranking on Latent Feature Manifold


DeepDive: An Integrative Algorithm/Architecture Co-Design for Deep Separable Convolutional Neural Networks


DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the Loop


DeepE: a deep neural network for knowledge graph embedding


DeepEMD: A Transformer-based Fast Estimation of the Earth Mover's Distance


DeepEdit: Knowledge Editing as Decoding with Constraints


DeepEfficiency - optimal efficiency inversion in higher dimensions at the LHC


DeepEraser: Deep Iterative Context Mining for Generic Text Eraser


DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation


DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data


DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes


DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning


DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs


DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning


DeepFLASH: An Efficient Network for Learning-based Medical Image Registration


DeepFRC: An End-to-End Deep Learning Model for Functional Registration and Classification


DeepFaceFlow: In-the-wild Dense 3D Facial Motion Estimation


DeepFactors: Real-Time Probabilistic Dense Monocular SLAM


DeepFake MNIST+: A DeepFake Facial Animation Dataset


DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection


DeepFall -- Non-invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders


DeepFeatureX Net: Deep Features eXtractors based Network for discriminating synthetic from real images


DeepFidelity: Perceptual Forgery Fidelity Assessment for Deepfake Detection


DeepFirearm: Learning Discriminative Feature Representation for Fine-grained Firearm Retrieval


DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares


DeepFlow: A Cross-Stack Pathfinding Framework for Distributed AI Systems


DeepFlow: History Matching in the Space of Deep Generative Models


DeepFocus: a Few-Shot Microscope Slide Auto-Focus using a Sample Invariant CNN-based Sharpness Function


DeepFool: a simple and accurate method to fool deep neural networks


DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging


DeepFork: Supervised Prediction of Information Diffusion in GitHub


DeepFormableTag: End-to-end Generation and Recognition of Deformable Fiducial Markers


DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning


DeepFreeze: Cold Boot Attacks and High Fidelity Model Recovery on Commercial EdgeML Device


DeepFreight: Integrating Deep Reinforcement Learning and Mixed Integer Programming for Multi-transfer Truck Freight Delivery


DeepFry: Identifying Vocal Fry Using Deep Neural Networks


DeepFusionMOT: A 3D Multi-Object Tracking Framework Based on Camera-LiDAR Fusion with Deep Association


DeepGAR: Deep Graph Learning for Analogical Reasoning


DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks


DeepGDel: Deep Learning-based Gene Deletion Prediction Framework for Growth-Coupled Production in Genome-Scale Metabolic Models


DeepGMR: Learning Latent Gaussian Mixture Models for Registration


DeepGO: Predicting protein functions from sequence and interactions using a deep ontology-aware classifier


DeepGRU: Deep Gesture Recognition Utility


DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction


DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale


DeepGesture: A conversational gesture synthesis system based on emotions and semantics


DeepGhostBusters: Using Mask R-CNN to Detect and Mask Ghosting and Scattered-Light Artifacts from Optical Survey Images


DeepGleason: a System for Automated Gleason Grading of Prostate Cancer using Deep Neural Networks


DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics


DeepGrav: Anomalous Gravitational-Wave Detection Through Deep Latent Features


DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing Data


DeepGreen: Deep Learning of Green's Functions for Nonlinear Boundary Value Problems


DeepGroup: Representation Learning for Group Recommendation with Implicit Feedback


DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional Networks


DeepHYDRA: Resource-Efficient Time-Series Anomaly Detection in Dynamically-Configured Systems


DeepHandMesh: A Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modeling


DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language


DeepHazard: neural network for time-varying risks


DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures


DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search


DeepI2P: Image-to-Point Cloud Registration via Deep Classification


DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real Environments


DeepIPCv2: LiDAR-powered Robust Environmental Perception and Navigational Control for Autonomous Vehicle


DeepIlluminance: Contextual Illuminance Estimation via Deep Neural Networks


DeepInSAR: A Deep Learning Framework for SAR Interferometric Phase Restoration and Coherence Estimation


DeepInception: Hypnotize Large Language Model to Be Jailbreaker


DeepInf: Social Influence Prediction with Deep Learning


DeepJSCC-l++: Robust and Bandwidth-Adaptive Wireless Image Transmission


DeepJoin: Learning a Joint Occupancy, Signed Distance, and Normal Field Function for Shape Repair


DeepJoint: Robust Survival Modelling Under Clinical Presence Shift


DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer


DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction


DeepLENS: Deep Learning for Entity Summarization


DeepLINK-T: deep learning inference for time series data using knockoffs and LSTM


DeepLNE++ leveraging knowledge distillation for accelerated multi-state path-like collective variables


DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients


DeepLSS: breaking parameter degeneracies in large scale structure with deep learning analysis of combined probes


DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction


DeepLearningBrasil@LT-EDI-2023: Exploring Deep Learning Techniques for Detecting Depression in Social Media Text


DeepLens: Interactive Out-of-distribution Data Detection in NLP Models


DeepLight: Reconstructing High-Resolution Observations of Nighttime Light With Multi-Modal Remote Sensing Data


DeepLocNet: Deep Observation Classification and Ranging Bias Regression for Radio Positioning Systems


DeepLogic: Towards End-to-End Differentiable Logical Reasoning


DeepMDV: Learning Global Matching for Multi-depot Vehicle Routing Problems


DeepMIF: Deep Monotonic Implicit Fields for Large-Scale LiDAR 3D Mapping


DeepMIM: Deep Supervision for Masked Image Modeling


DeepMPCVS: Deep Model Predictive Control for Visual Servoing


DeepMTL Pro: Deep Learning Based MultipleTransmitter Localization and Power Estimation


DeepMUSIC: Multiple Signal Classification via Deep Learning


DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization


DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds


DeepMatcher: A Deep Transformer-based Network for Robust and Accurate Local Feature Matching


DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning


DeepMath-Creative: A Benchmark for Evaluating Mathematical Creativity of Large Language Models


DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning


DeepMend: Learning Occupancy Functions to Represent Shape for Repair


DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across Domains


DeepMerge: Classifying High-redshift Merging Galaxies with Deep Neural Networks


DeepMerge: Deep-Learning-Based Region-Merging for Image Segmentation


DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning


DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates


DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score


DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors


DeepMuon: Accelerating Cosmic-Ray Muon Simulation Based on Optimal Transport


DeepNC: Deep Generative Network Completion


DeepNNK: Explaining deep models and their generalization using polytope interpolation


DeepNoise: Signal and Noise Disentanglement based on Classifying Fluorescent Microscopy Images via Deep Learning


DeepNovoV2: Better de novo peptide sequencing with deep learning


DeepNuParc: A Novel Deep Clustering Framework for Fine-scale Parcellation of Brain Nuclei Using Diffusion MRI Tractography


DeepOBS: A Deep Learning Optimizer Benchmark Suite


DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design


DeepOIS: Gyroscope-Guided Deep Optical Image Stabilizer Compensation


DeepOPF-V: Solving AC-OPF Problems Efficiently


DeepObfusCode: Source Code Obfuscation Through Sequence-to-Sequence Networks


DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation


DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing


DeepOrientation: convolutional neural network for fringe pattern orientation map estimation


DeepPBM: Deep Probabilistic Background Model Estimation from Video Sequences


DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated Images


DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization


DeepParliament: A Legal domain Benchmark & Dataset for Parliament Bills Prediction


DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing Understanding


DeepPavlov at SemEval-2024 Task 8: Leveraging Transfer Learning for Detecting Boundaries of Machine-Generated Texts


DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding


DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling


DeepPolar+: Breaking the BER-BLER Trade-off with Self-Attention and SMART (SNR-MAtched Redundancy Technique) decoding


DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning


DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation


DeepPrivacy: A Generative Adversarial Network for Face Anonymization


DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning


DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos


DeepQTMT: A Deep Learning Approach for Fast QTMT-based CU Partition of Intra-mode VVC


DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather Data


DeepQuality: Mass Spectra Quality Assessment via Compressed Sensing and Deep Learning


DeepRA: Predicting Joint Damage From Radiographs Using CNN with Attention


DeepRLI: A Multi-objective Framework for Universal Protein--Ligand Interaction Prediction


DeepRTE: Pre-trained Attention-based Neural Network for Radiative Tranfer


DeepRacing: Parameterized Trajectories for Autonomous Racing


DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling


DeepRec: An Open-source Toolkit for Deep Learning based Recommendation


DeepReg: a deep learning toolkit for medical image registration


DeepRepViz: Identifying Confounders in Deep Learning Model Predictions


DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents


DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments


DeepSE-WF: Unified Security Estimation for Website Fingerprinting Defenses


DeepSIBA: Chemical Structure-based Inference of Biological Alterations


DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection


DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales


DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer


DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data


DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic


DeepSQLi: Deep Semantic Learning for Testing SQL Injection


DeepSSM: Deep State-Space Model for 3D Human Motion Prediction


DeepSSN: a deep convolutional neural network to assess spatial scene similarity


DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images


DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression


DeepScaler: Holistic Autoscaling for Microservices Based on Spatiotemporal GNN with Adaptive Graph Learning


DeepSearch: A Simple and Effective Blackbox Attack for Deep Neural Networks


DeepSee: Multidimensional Visualizations of Seabed Ecosystems


DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles via Deep Learning Methods


DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence


DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence


DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search


DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition


DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning


DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding


DeepSeek-VL: Towards Real-World Vision-Language Understanding


DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models


DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction


DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos


DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus


DeepShift: Towards Multiplication-Less Neural Networks


DeepSign: Deep On-Line Signature Verification


DeepSim-Nets: Deep Similarity Networks for Stereo Image Matching


DeepSim: A Reinforcement Learning Environment Build Toolkit for ROS and Gazebo


DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation


DeepSmartFuzzer: Reward Guided Test Generation For Deep Learning


DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking


DeepSource: Point Source Detection using Deep Learning


DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing from Decentralised Data


DeepSplit: Scalable Verification of Deep Neural Networks via Operator Splitting


DeepSportLab: a Unified Framework for Ball Detection, Player Instance Segmentation and Pose Estimation in Team Sports Scenes


DeepStay: Stay Region Extraction from Location Trajectories using Weak Supervision


DeepStreaks: identifying fast-moving objects in the Zwicky Transient Facility data with deep learning


DeepStruct: Pretraining of Language Models for Structure Prediction


DeepSurfels: Learning Online Appearance Fusion


DeepSurveySim: Simulation Software and Benchmark Challenges for Astronomical Observation Scheduling


DeepSwarm: Optimising Convolutional Neural Networks using Swarm Intelligence


DeepSym: Deep Symbol Generation and Rule Learning from Unsupervised Continuous Robot Interaction for Planning


DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning


DeepTLS: comprehensive and high-performance feature extraction for encrypted traffic


DeepTOP: Deep Threshold-Optimal Policy for MDPs and RMABs


DeepTPI: Test Point Insertion with Deep Reinforcement Learning


DeepTSF: Codeless machine learning operations for time series forecasting


DeepTTV: Deep Learning Prediction of Hidden Exoplanet From Transit Timing Variations


DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images


DeepTag: inferring all-cause diagnoses from clinical notes in under-resourced medical domain