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Showing 6951–7000 of 9423 papers

TitleStatusHype
Active Learning for Deep Learning-Based Hemodynamic Parameter Estimation—0
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models—0
Activity Monitoring of Islamic Prayer (Salat) Postures using Deep Learning—0
Activity Sparsity Complements Weight Sparsity for Efficient RNN Inference—0
A Cutting-Edge Deep Learning Method For Enhancing IoT Security—0
Adam-family Methods with Decoupled Weight Decay in Deep Learning—0
Adam with Bandit Sampling for Deep Learning—0
Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve?—0
Adapting model-based deep learning to multiple acquisition conditions: Ada-MoDL—0
Adapting Resilient Propagation for Deep Learning—0
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning—0
Adaptive and Compressive Beamforming Using Deep Learning for Medical Ultrasound—0
Adaptive Block Floating-Point for Analog Deep Learning Hardware—0
Adaptive Channel Estimation Based on Model-Driven Deep Learning for Wideband mmWave Systems—0
Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging—0
Adaptive CSI Feedback for Deep Learning-Enabled Image Transmission—0
Adaptive deep learning for nonlinear time series models—0
Adaptive Deep Learning of Cross-Domain Loss in Collaborative Filtering—0
Adaptive Degradation Process with Deep Learning-Driven Trajectory—0
Adaptive Feature Fusion: Enhancing Generalization in Deep Learning Models—0
Adaptive First- and Second-Order Algorithms for Large-Scale Machine Learning—0
Adaptive Hierarchical Decomposition of Large Deep Networks—0
Adaptive Latent Space Tuning for Non-Stationary Distributions—0
Adaptive LPD Radar Waveform Design with Generative Deep Learning—0
Adaptive Noise-Tolerant Network for Image Segmentation—0
Adaptive Optimizers with Sparse Group Lasso—0
Adaptive Parameterization of Deep Learning Models for Federated Learning—0
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting—0
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization—0
Adaptive Sampling for Deep Learning via Efficient Nonparametric Proxies—0
Adaptive Selection of Deep Learning Models on Embedded Systems—0
Adaptive Soft Error Protection for Deep Learning—0
Adaptive Ultrasound Beamforming using Deep Learning—0
Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality—0
AdaSelection: Accelerating Deep Learning Training through Data Subsampling—0
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning—0
A Data and Compute Efficient Design for Limited-Resources Deep Learning—0
A Data Augmented Approach to Transfer Learning for Covid-19 Detection—0
Deep Learning based pipeline for anomaly detection and quality enhancement in industrial binder jetting processes—0
Interpolation-Split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance—0
A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning—0
A Data-driven Deep Learning Approach for Bitcoin Price Forecasting—0
Adding Context to Source Code Representations for Deep Learning—0
Addressing the interpretability problem for deep learning using many valued quantum logic—0
A Decade of Deep Learning: A Survey on The Magnificent Seven—0
A Decade Survey of Content Based Image Retrieval using Deep Learning—0
A Deep Architecture for Log-Linear Models—0
A Deep Bayesian Convolutional Spiking Neural Network-based CAD system with Uncertainty Quantification for Medical Images Classification—0
A Deep Convolutional Neural Network for Lung Cancer Diagnostic—0
A Deep Dive into the Connections Between the Renormalization Group and Deep Learning in the Ising Model—0
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