feature distribution

75 papers

Explore in graph

Also known as

DOF

Co-occurring keywords

domain adaptation (4578) contrastive learning (3979) representation learning (6174) transfer learning (5442) unsupervised domain adaptation (441) convolutional neural network (4216) optimal transport (945) semantic segmentation (3179) model compression (3283) adversarial training (1261)

Papers

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

DAVID: Dual-stage Adaptive Vision-text Integrated Decoupling for Multimodal KV Cache Eviction AAAI 2026

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

Bias-Resilient Weakly Supervised Semantic Segmentation Using Normalizing Flows ICCV 2025

LaCoOT: Layer Collapse through Optimal Transport ICCV 2025

SimProF: A Simple Probabilistic Framework for Unsupervised Domain Adaptation AAAI 2025

DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data ICCV 2025

Maintaining Consistent Inter-Class Topology in Continual Test-Time Adaptation CVPR 2025

A Simple Data Augmentation for Feature Distribution Skewed Federated Learning CVPR 2025

Richer Semantics, Better Alignment: Aligning Visual Features with Explicit and Enriched Semantics for Visible-Infrared Person Re-Identification IJCAI 2025

Inconsistency-Based Data-Centric Active Open-Set Annotation AAAI 2024

Stochastic Binary Network for Universal Domain Adaptation WACV 2024

Cross-Modal Feature Distribution Calibration for Few-Shot Visual Question Answering AAAI 2024

Learning Intra-Class Multimodal Distributions With Orthonormal Matrices WACV 2024

Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection AAAI 2024

Divide-and-Aggregate Learning for Evaluating Performance on Unlabeled Data AAAI 2024

Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization EMNLP 2024

Multimodal Representation Distribution Learning for Medical Image Segmentation IJCAI 2024

Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities CVPR 2024

What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection AAAI 2024

U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting AAAI 2024

Personalized Federated Learning via Feature Distribution Adaptation NIPS 2024

An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain AAAI 2024