Artificial Intelligence

FEAST: A Flexible Mealtime-Assistance System Towards In-the-Wild Personalization RSS 2025 FEAST-Mamba: FEAture and SpaTial Aware Mamba Network with Bidirectional Orthogonal Fusion for Cross-Modal Point Cloud Segmentation AAAI 2025 Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models ICLR 2025 Feat2GS: Probing Visual Foundation Models with Gaussian Splatting CVPR 2025 FEAT: A Preference Feedback Dataset through a Cost-Effective Auto-Generation and Labeling Framework for English AI Tutoring ACL 2025 Feather the Throttle: Revisiting Visual Token Pruning for Vision-Language Model Acceleration ICCV 2025 FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation ICML 2025 Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields CVPR 2025 Feature Attribution for Deep Learning Models through Total Variance Decomposition MIDL 2025 Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks ICLR 2025 Feature Clipping for Uncertainty Calibration AAAI 2025 Feature Coding in the Era of Large Models: Dataset, Test Conditions, and Benchmark ICCV 2025 Feature Decomposition-Augmentation Network for Multimodal Sentiment Analysis IJCNLP 2025 Feature Decomposition-Recomposition in Large Vision-Language Model for Few-Shot Class-Incremental Learning ICCV 2025 Feature Design for Bridging SAM and CLIP toward Referring Image Segmentation WACV 2025 Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models EMNLP 2025 Feature Importance across Domains for Improving Non-Intrusive Speech Intelligibility Prediction in Hearing Aids Interspeech 2025 Feature Importance Metrics in the Presence of Missing Data ICML 2025 Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders ACL 2025 Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse ICLR 2025 Features are fate: a theory of transfer learning in high-dimensional regression ICML 2025 Feature Shift Localization Network ICML 2025 Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation WACV 2025 Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning NAACL 2025 Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation AAAI 2025