TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving
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Noticias de IA
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Hybrid Deep Learning for Traceability and Classification of Industrial Slate Tiles
LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customiza…
LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detec…
Non-Asymptotic Error Bounds for SMC with Biased Proposals: Application to Conditional Dif…
Non-asymptotic Convergence of Stochastic Gradient Descent in Score-based Generative Models
Multi-Turn On-Policy Distillation with Prefix Replay
MergeSurv: Merging-Based Continual Learning for Survival Analysis on Whole-Slide Images
Wasserstein Residuals: Learning Gradient Flows from Population Dynamics
LP-SFT: Local-Preserving Supervised Fine-Tuning via Multimodal Entropy Structure
Turning Off-Policy Tokens On-Policy: A Plug-in Approach for Improving LLM Alignment
Dashboard2Code: Evaluating Multimodal Models on Reconstructing Interactive Dashboards
Integrated Altruistic and Fairness Preference Induces Advanced Mutual Cooperation in Sequ…
Strategic Buying Agents
F-ACVAE: A Federated Adaptive Conditional Variational Auto-Encoder for Privacy-Preserving…
Solve the Missing First Step: Can VLMs Standardize Raw Heterogeneous Medical Data?
PAST-TIDE: Prototype-Anchored Statement Tuning with Topic-Invariant Normalization for Sta…
ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Gr…
DiCE-CIR: Direct Composition Learning for Efficient Zero-Shot Composed Image Retrieval
Decomposition for Bayesian Networks: Local and Parallel Inference
Machine Learning for Depression Screening and Intervention: an Original Circadian Rhythm …
Learning Flexible Generalization in Video Quality Assessment by Bringing Device and Viewi…
Enhancing Large Multimodal Models in Key Information Extraction via Scene-Aware Document …
Hierarchical Evidence-Driven Reasoning for Long Document Understanding
MRMS: A Multi-Resolution Memory Substrate for Long-Lived AI Agents
Do All Visual Tokens Matter Equally? Object-Evidence Preserving Token Merging for Vision-…
Measuring What Matters: A Unified Evaluation Framework for GNN Explainability
Simple-to-Complex Structured Demonstrations for Vision-Language-Action Learning
AdaStop: Cost-Aware Early Stopping for DNN Test Selection
Beyond the Need for Speed: Energy-Aware Code Generation via Simulation-Guided Reinforceme…