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Robust Self-Training with Closed-loop Label Correction for Learning from Noisy Labels
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MO-SAE:Multi-Objective Stacked Autoencoders Optimization for Edge Anomaly Detection
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CT-Conditioned Diffusion Prior with Physics-Constrained Sampling for PET Super-Resolution
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Distributed Acoustic Sensing for Urban Traffic Monitoring: Spatio-Temporal Attention in Recurrent Neural Networks
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Pixel-level Scene Understanding in One Token: Visual States Need What-is-Where Composition
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LineMaster Pro: A Low-Cost Intelligent Line Following Robot with PID Control and Ultrasonic Obstacle Avoidance for Educational Robotics
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FedPBS: Proximal-Balanced Scaling Federated Learning Model for Robust Personalized Training for Non-IID Data
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Scene Generation at Absolute Scale: Utilizing Semantic and Geometric Guidance From Text for Accurate and Interpretable 3D Indoor Scene Generation
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AgriChat: A Multimodal Large Language Model for Agriculture Image Understanding
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The Phenomenology of Hallucinations
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Towards Stable Self-Supervised Object Representations in Unconstrained Egocentric Video
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Evaluation of Visual Place Recognition Methods for Image Pair Retrieval in 3D Vision and Robotics
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OpenCOOD-Air: Prompting Heterogeneous Ground-Air Collaborative Perception with Spatial Conversion and Offset Prediction
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Generative Inverse Design of Cold Metals for Low-Power Electronics
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SmoothVLA: Aligning Vision-Language-Action Models with Physical Constraints via Intrinsic Smoothness Optimization
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Close to Reality: Interpretable and Feasible Data Augmentation for Imbalanced Learning
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Discriminative Flow Matching Via Local Generative Predictors
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True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity
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OmniCompliance-100K: A Multi-Domain, Rule-Grounded, Real-World Safety Compliance Dataset
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Iterative Semantic Reasoning from Individual to Group Interests for Generative Recommendation with LLMs
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GroupGuard: A Framework for Modeling and Defending Collusive Attacks in Multi-Agent Systems
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Bidirectional Cross-Attention Fusion of High-Res RGB and Low-Res HSI for Multimodal Automated Waste Sorting
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Sat-JEPA-Diff: Bridging Self-Supervised Learning and Generative Diffusion for Remote Sensing
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ToolFlood: Beyond Selection -- Hiding Valid Tools from LLM Agents via Semantic Covering
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DCP-CLIP:A Coarse-to-Fine Framework for Open-Vocabulary Semantic Segmentation with Dual Interaction
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LLM-Guided Reinforcement Learning for Audio-Visual Speech Enhancement
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EviAgent: Evidence-Driven Agent for Radiology Report Generation
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GenLie: A Global-Enhanced Lie Detection Network under Sparsity and Semantic Interference
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IMS3: Breaking Distributional Aggregation in Diffusion-Based Dataset Distillation
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USIS-PGM: Photometric Gaussian Mixtures for Underwater Salient Instance Segmentation
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sebis at ArchEHR-QA 2026: How Much Can You Do Locally? Evaluating Grounded EHR QA on a Single Notebook
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VID-AD: A Dataset for Image-Level Logical Anomaly Detection under Vision-Induced Distraction
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vla-eval: A Unified Evaluation Harness for Vision-Language-Action Models
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EchoLVFM: One-Step Video Generation via Latent Flow Matching for Echocardiogram Synthesis
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Leveraging a Statistical Shape Model for Efficient Generation of Annotated Training Data: A Case Study on Liver Landmarks Segmentation
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Shapes are not enough: CONSERVAttack and its use for finding vulnerabilities and uncertainties in machine learning applications
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Chunk-Guided Q-Learning
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FLUX: Data Worth Training On
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When Visual Privacy Protection Meets Multimodal Large Language Models
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Exploiting temporal parallelism for LSTM Autoencoder acceleration on FPGA
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Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models
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Faithful or Just Plausible? Evaluating the Faithfulness of Closed-Source LLMs in Medical Reasoning
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VAD4Space: Visual Anomaly Detection for Planetary Surface Imagery
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Human-like Object Grouping in Self-supervised Vision Transformers
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TDMM-LM: Bridging Facial Understanding and Animation via Language Models
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Location Aware Embedding for Geotargeting in Sponsored Search Advertising
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A Systematic Evaluation Protocol of Graph-Derived Signals for Tabular Machine Learning
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PhyGaP: Physically-Grounded Gaussians with Polarization Cues
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The Taxonomies, Training, and Applications of Event Stream Modelling for Electronic Health Records
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U-Face: An Efficient and Generalizable Framework for Unsupervised Facial Attribute Editing via Subspace Learning
