feature distribution

DAVID: Dual-stage Adaptive Vision-text Integrated Decoupling for Multimodal KV Cache Eviction AAAI 2026 FANoise: Singular Value-Adaptive Noise Modulation for Robust Multimodal Representation Learning AAAI 2026 Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation WACV 2026 A Simple Data Augmentation for Feature Distribution Skewed Federated Learning CVPR 2025 Bias-Resilient Weakly Supervised Semantic Segmentation Using Normalizing Flows ICCV 2025 DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data ICCV 2025 LaCoOT: Layer Collapse through Optimal Transport ICCV 2025 Maintaining Consistent Inter-Class Topology in Continual Test-Time Adaptation CVPR 2025 Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning AAAI 2025 RAEncoder: A Label-Free Reversible Adversarial Examples Encoder for Dataset Intellectual Property Protection CVPR 2025 Richer Semantics, Better Alignment: Aligning Visual Features with Explicit and Enriched Semantics for Visible-Infrared Person Re-Identification IJCAI 2025 ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck ICML 2025 SimProF: A Simple Probabilistic Framework for Unsupervised Domain Adaptation AAAI 2025 Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization EMNLP 2024 An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain AAAI 2024 Balancing Similarity and Complementarity for Federated Learning ICML 2024 Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities CVPR 2024 Cross-Modal Feature Distribution Calibration for Few-Shot Visual Question Answering AAAI 2024 Divide-and-Aggregate Learning for Evaluating Performance on Unlabeled Data AAAI 2024 Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection AAAI 2024 FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering ICML 2024 Inconsistency-Based Data-Centric Active Open-Set Annotation AAAI 2024 Learning Intra-Class Multimodal Distributions With Orthonormal Matrices WACV 2024 Learning to Shape In-distribution Feature Space for Out-of-distribution Detection NeurIPS 2024 Lifelong Event Detection with Embedding Space Separation and Compaction NAACL 2024