#Deep Learning
Latest news articles tagged with "Deep Learning". Follow the timeline of events, related topics, and entities.
Articles (28)
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🇺🇸 Silhouette Loss: Differentiable Global Structure Learning for Deep Representations
[USA]
arXiv:2604.08573v1 Announce Type: cross Abstract: Learning discriminative representations is a central goal of supervised deep learning. While cross-entropy (CE) remains the dominant objective for cl...
Related: #Machine Learning, #Computer Science, #Artificial Intelligence -
🇺🇸 InfoMamba: An Attention-Free Hybrid Mamba-Transformer Model
[USA]
arXiv:2603.18031v1 Announce Type: cross Abstract: Balancing fine-grained local modeling with long-range dependency capture under computational constraints remains a central challenge in sequence mode...
Related: #AI Architecture -
🇺🇸 A Novel end-to-end Digital Health System Using Deep Learning-based ECG Analysis
[USA]
arXiv:2603.16891v1 Announce Type: cross Abstract: This study presents AI-HEART, a cloud-based information system for managing and analysing long-duration ambulatory electrocardiogram (ECG) recordings...
Related: #Digital Health, #Cardiac Monitoring -
🇺🇸 Deep Convolutional Architectures for EEG Classification: A Comparative Study with Temporal Augmentation and Confidence-Based Voting
[USA]
arXiv:2603.13261v1 Announce Type: new Abstract: Electroencephalography (EEG) classification plays a key role in brain-computer interface (BCI) systems, yet it remains challenging due to the low signa...
Related: #EEG Classification -
🇺🇸 Comparative Analysis of Deep Learning Architectures for Multi-Disease Classification of Single-Label Chest X-rays
[USA]
arXiv:2603.13392v1 Announce Type: cross Abstract: Chest X-ray imaging remains the primary diagnostic tool for pulmonary and cardiac disorders worldwide, yet its accuracy is hampered by radiologist sh...
Related: #Medical AI -
🇺🇸 SCORE: Replacing Layer Stacking with Contractive Recurrent Depth
[USA]
arXiv:2603.10544v1 Announce Type: cross Abstract: Residual connections are central to modern deep neural networks, enabling stable optimization and efficient information flow across depth. In this wo...
Related: #Neural Networks -
🇺🇸 VIVID-Med: LLM-Supervised Structured Pretraining for Deployable Medical ViTs
[USA]
arXiv:2603.09109v1 Announce Type: cross Abstract: Vision-language pretraining has driven significant progress in medical image analysis. However, current methods typically supervise visual encoders u...
Related: #Medical AI -
🇺🇸 From ARIMA to Attention: Power Load Forecasting Using Temporal Deep Learning
[USA]
arXiv:2603.06622v1 Announce Type: cross Abstract: Accurate short-term power load forecasting is important to effectively manage, optimize, and ensure the robustness of modern power systems. This pape...
Related: #Energy Forecasting -
🇺🇸 HGT-Scheduler: Deep Reinforcement Learning for the Job Shop Scheduling Problem via Heterogeneous Graph Transformers
[USA]
arXiv:2603.06777v1 Announce Type: cross Abstract: The Job Shop Scheduling Problem (JSSP) is commonly formulated as a disjunctive graph in which nodes represent operations and edges encode technologic...
Related: #Scheduling Optimization -
🇺🇸 Does Semantic Noise Initialization Transfer from Images to Videos? A Paired Diagnostic Study
[USA]
arXiv:2603.06672v1 Announce Type: cross Abstract: Semantic noise initialization has been reported to improve robustness and controllability in image diffusion models. Whether these gains transfer to ...
Related: #Transfer Learning -
🇺🇸 CLAIRE: Compressed Latent Autoencoder for Industrial Representation and Evaluation -- A Deep Learning Framework for Smart Manufacturing
[USA]
arXiv:2603.06361v1 Announce Type: cross Abstract: Accurate fault detection in high-dimensional industrial environments remains a major challenge due to the inherent complexity, noise, and redundancy ...
Related: #Smart Manufacturing -
🇺🇸 Remote Sensing Image Classification Using Deep Ensemble Learning
[USA]
arXiv:2603.05844v1 Announce Type: cross Abstract: Remote sensing imagery plays a crucial role in many applications and requires accurate computerized classification techniques. Reliable classificatio...
Related: #Remote Sensing -
🇺🇸 MAD-SmaAt-GNet: A Multimodal Advection-Guided Neural Network for Precipitation Nowcasting
[USA]
arXiv:2603.04461v1 Announce Type: cross Abstract: Precipitation nowcasting (short-term forecasting) is still often performed using numerical solvers for physical equations, which are computationally ...
Related: #Weather Forecasting -
🇺🇸 SegReg: Latent Space Regularization for Improved Medical Image Segmentation
[USA]
arXiv:2602.23509v1 Announce Type: cross Abstract: Medical image segmentation models are typically optimised with voxel-wise losses that constrain predictions only in the output space. This leaves lat...
Related: #Medical Imaging, #U‑Net, #Latent Space Regularisation, #Domain Generalisation -
🇺🇸 Enhancing Renal Tumor Malignancy Prediction: Deep Learning with Automatic 3D CT Organ Focused Attention
[USA]
arXiv:2602.22381v1 Announce Type: cross Abstract: Accurate prediction of malignancy in renal tumors is crucial for informing clinical decisions and optimizing treatment strategies. However, existing ...
Related: #Medical AI, #Medical Imaging, #Cancer Diagnosis -
🇺🇸 Visual Model Checking: Graph-Based Inference of Visual Routines for Image Retrieval
[USA]
arXiv:2602.17386v1 Announce Type: new Abstract: Information retrieval lies at the foundation of the modern digital industry. While natural language search has seen dramatic progress in recent years l...
Related: #Artificial Intelligence, #Information Retrieval, #Formal Verification, #Graph-Based Methods -
🇺🇸 3D Scene Rendering with Multimodal Gaussian Splatting
[USA]
arXiv:2602.17124v1 Announce Type: cross Abstract: 3D scene reconstruction and rendering are core tasks in computer vision, with applications spanning industrial monitoring, robotics, and autonomous d...
Related: #Computer Vision, #Pattern Recognition, #Radio‑Frequency (RF) Sensing, #Multimodal Fusion -
🇺🇸 Q3R: Quadratic Reweighted Rank Regularizer for Effective Low-Rank Training
[USA]
arXiv:2511.04485v2 Announce Type: replace-cross Abstract: Parameter-efficient training based on low-rank optimization has become a highly successful tool for fine-tuning large deep learning models. H...
Related: #Low‑rank Optimization, #Parameter‑Efficient Training, #Regularization Techniques, #Pre‑Training vs Fine‑Tuning -
🇺🇸 Attention-gated U-Net model for semantic segmentation of brain tumors and feature extraction for survival prognosis
[USA]
arXiv:2602.15067v1 Announce Type: new Abstract: Gliomas, among the most common primary brain tumors, vary widely in aggressiveness, prognosis, and histology, making treatment challenging due to compl...
Related: #Medical Imaging, #Neuro-Oncology, #Computer Vision, #Survival Prediction -
🇺🇸 Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework
[USA]
arXiv:2602.13271v1 Announce Type: new Abstract: The increasing complexity and frequency of cyber-threats demand intrusion detection systems (IDS) that are not only accurate but also interpretable. Th...
Related: #Explainable Artificial Intelligence, #Intrusion Detection, #Cybersecurity, #Model Transparency -
🇺🇸 EXCODER: EXplainable Classification Of DiscretE time series Representations
[USA]
arXiv:2602.13087v1 Announce Type: cross Abstract: Deep learning has significantly improved time series classification, yet the lack of explainability in these models remains a major challenge. While ...
Related: #Explainable AI, #Time Series Analysis -
🇺🇸 Batch-CAM: Introduction to better reasoning in convolutional deep learning models
[USA]
arXiv:2510.00664v2 Announce Type: replace Abstract: Deep learning opacity often impedes deployment in high-stakes domains. We propose a training framework that aligns model focus with class-represent...
Related: #AI Transparency, #Model Interpretability -
🇺🇸 Why Deep Jacobian Spectra Separate: Depth-Induced Scaling and Singular-Vector Alignment
[USA]
arXiv:2602.12384v1 Announce Type: cross Abstract: Understanding why gradient-based training in deep networks exhibits strong implicit bias remains challenging, in part because tractable singular-valu...
Related: #Neural Networks, #Mathematical Theory -
🇺🇸 GCN-MPPR: Enhancing the Propagation of Message Passing Neural Networks via Motif-Based Personalized PageRank
[USA]
arXiv:2602.07903v1 Announce Type: new Abstract: The algorithms based on message passing neural networks (MPNNs) on graphs have recently achieved great success for various graph applications. However,...
Related: #Artificial Intelligence, #Machine Learning -
🇺🇸 A Comparative Study of Adversarial Robustness in CNN and CNN-ANFIS Architectures
[USA]
arXiv:2602.07028v1 Announce Type: cross Abstract: Convolutional Neural Networks (CNNs) achieve strong image classification performance but lack interpretability and are vulnerable to adversarial atta...
Related: #Artificial Intelligence, #Cybersecurity -
🇺🇸 NCSAM Noise-Compensated Sharpness-Aware Minimization for Noisy Label Learning
[USA]
arXiv:2601.19947v1 Announce Type: cross Abstract: Learning from Noisy Labels (LNL) presents a fundamental challenge in deep learning, as real-world datasets often contain erroneous or corrupted annot...
Related: #Noise Reduction, #Machine Learning -
🇺🇸 Enterprise Resource Planning Using Multi-type Transformers in Ferro-Titanium Industry
[USA]
arXiv:2601.20696v1 Announce Type: new Abstract: Combinatorial optimization problems such as the Job-Shop Scheduling Problem (JSP) and Knapsack Problem (KP) are fundamental challenges in operations re...
Related: #Technology, #Optimization -
🇺🇸 Continuous-Flow Data-Rate-Aware CNN Inference on FPGA
[USA]
arXiv:2601.19940v1 Announce Type: cross Abstract: Among hardware accelerators for deep-learning inference, data flow implementations offer low latency and high throughput capabilities. In these archi...
Related: #Technology, #Hardware Acceleration, #FPGA
Key Entities (8)
- Deep learning (4 news)
- Transformer (2 news)
- Singular value (1 news)
- Autoregressive integrated moving average (1 news)
- Mamba (1 news)
- Artificial intelligence (1 news)
- Explainable artificial intelligence (1 news)
- CNN (1 news)
About the topic: Deep Learning
The topic "Deep Learning" aggregates 28+ news articles from various countries.