deep-learning

Documents about deep-learning

• Quality-Driven Selective Mutation for Deep Learning#134539arXiv CS
• Benchmarking Optimizers for MLPs in Tabular Deep Learning#18995arXiv CS
• FedSPDnet: Geometry-Aware Federated Deep Learning with SPDnet#134557arXiv CS
• A Functorial Formulation of Neighborhood Aggregating Deep Learning#138917arXiv CS
• SafeAdapt: Provably Safe Policy Updates in Deep Reinforcement Learning#5952arXiv CS
• AdaCubic: An Adaptive Cubic Regularization Optimizer for Deep Learning#5956arXiv CS
• There Will Be a Scientific Theory of Deep Learning#126520arXiv CS
• Monte Carlo Stochastic Depth for Uncertainty Estimation in Deep Learning#13101arXiv CS
• Deep learning#18333Wikipedia
• bacpipe: a Python package to make bioacoustic deep learning models accessible#10354arXiv CS
• Adaptive Data Dropout: Towards Self-Regulated Learning in Deep Neural Networks#13084arXiv CS
• Deep Learning for Model Calibration in Simulation of Itaconic Acid Production#134556arXiv CS
• Deep Learning for Sequential Decision Making under Uncertainty: Foundations, Frameworks, and Frontiers#10364arXiv CS
• Early Detection of Acute Myeloid Leukemia (AML) Using YOLOv12 Deep Learning Model#31276arXiv CS
• Hybrid Deep Learning Approach for Coupled Demand Forecasting and Supply Chain Optimization#126535arXiv CS
• Transformer (deep learning)#18339Wikipedia
• Learning the Riccati solution operator for time-varying LQR via Deep Operator Networks#120510arXiv CS
• A temporal deep learning framework for calibration of low-cost air quality sensors#126536arXiv CS
• Deep learning in neural networks: An overview#6396OpenAlex
• Deep learning#6050OpenAlex
• Complexity of Linear Regions in Self-supervised Deep ReLU Networks#138947arXiv CS
• Deep Learning with Differential Privacy#6556OpenAlex
• Drowsiness-Aware Adaptive Autonomous Braking System based on Deep Reinforcement Learning for Enhanced Road Safety#14037arXiv CS
• Bounded Ratio Reinforcement Learning#120494arXiv CS
• Deep Learning#10830Crossref
• Deep Learning#10832Crossref
• Extreme bandits#138933arXiv CS
• Spectral bandits#141508arXiv CS
• The Significance of Machine Learning and Deep Learning Techniques in Cybersecurity: A Comprehensive Review#20509DOAJ
• Learning to Concatenate Quantum Codes#19031arXiv CS
• Dictionary learning for Kernel EDMD#141489arXiv CS
• A survey on Image Data Augmentation for Deep Learning#6480OpenAlex
• Conformalized Super Learner#134569arXiv CS
• Pliable rejection sampling#134571arXiv CS
• Hierarchical Behaviour Spaces#138928arXiv CS
• Deep Residual Learning for Image Recognition#6249OpenAlex
• Deep Learning in Medical Image Analysis#6577OpenAlex
• On the Role of DAG topology in Energy-Aware Cloud Scheduling : A GNN-Based Deep Reinforcement Learning Approach#5986arXiv CS
• Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks#6189OpenAlex
• Learning to Think from Multiple Thinkers#138909arXiv CS
• Safe-Support Q-Learning: Learning without Unsafe Exploration#141500arXiv CS
• Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection#5990arXiv CS
• Unsupervised Representation Learning with Deep Convolutional Generative\n Adversarial Networks#6169OpenAlex
• Persistence-Augmented Neural Networks#2588arXiv CS
• Continuous Adversarial Flow Models#10358arXiv CS
• Multistage Conditional Compositional Optimization#14009arXiv CS
• Near-Future Policy Optimization#124051arXiv CS
• Quotient-Space Diffusion Models#126508arXiv CS
• Stochastic simultaneous optimistic optimization#138934arXiv CS
• Recursive Multi-Agent Systems#141465arXiv CS