Efficient PEFT Methods with Adaptive Checkpointing for Vision Models and VLMs on Resource…
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Noticias de IA
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Tight Lower Bounds for the Multi-Secretary Problem via Bellman Certificates
ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning
Predictive Conformal Slip Monitoring: An Empirical Evaluation of Rolling Split Conformal …
X-Splat: Gaussian Splatting for 3D CBCT Generation from Single Panoramic Radiograph
Comprehensive Robustness Analysis of LiDAR-based 3D Object Detection in Autonomous Driving
Algebraic Model Counting for Global Analysis of Optimal Decision Trees
Embracing Intra-Class Heterogeneity for Semi-Supervised Medical Image Segmentation: From …
Fast and Accurate Anomaly Detection in Time Series
PWM-ArtGen: Part World Model for Articulated Object Generation
Cross-Platform Control for Autonomous Surface Vehicles via Adaptive Reinforcement Learning
Evaluating Vision-Language Models as a Zero-Shot Learning Alternative to You Only Look On…
InduceKV: Fixed-Footprint Continual Adaptation of Multimodal LLMs via Inducing KV Memories
Using embeddings to predict spoken word duration and pitch in Mandarin monosyllabic words
Object Aligner: A Configurable JSON Schema Similarity Score for Graphs, Applied to LLM Pr…
Probabilistic Low-Voltage Peak Load Forecasting with Time Series Foundation Models Evalua…
Towards a Phonology-Informed Evaluation of Multilingual TTS
NeoMap: Training-free Novel-View Synthesis from Single Images and Videos
Autorelevance function and other feature relevance measures for univariate time series
LiZAD: A Lightweight Zero-Shot Anomaly Detection Framework for Industrial Manufacturing
Hybrid quantum-classical neural network for sentiment analysis
AIriskEval-edu: New Dataset for Risk Assessment in AI-mediated K-12 Educational Explanati…
Rethinking Complexity Metrics for LLM-Integrated Applications: Beyond Source Code
Rethinking Post-Hoc Calibration in Semantic Segmentation
FoundDP: Revisiting Weak Disparity Observability in Dual-Pixel Depth Estimation
Spec-AUF: Accept-Until-Fail Training under Train-Inference Misalignment for Masked Block …
Diversity-aware View Partitioning for Scalable VGGT
Learning the Supports for Categorical Critic in Reinforcement Learning
SAB-LVLM: Significance-Aware Binarization for Large Vision-Language Models
An Exploratory Study on LLM-Generated Code and Comments in Code Repositories