Co-occurring keywords · papers mentioning both
Papers
A Training-Free Style-Personalization via SVD-Based Feature Decomposition
CVPR 2026
DeFB: Decomposed Feature Learning for Real-Time Multi-Person Eyeblink Detection in Untrimmed In-the-Wild Videos
AAAI 2026
Introducing Decomposed Causality with Spatiotemporal Object-Centric Representation for Video Classification
AAAI 2026
Test-Time Adaptation through Semantically-guided Feature Decomposition for Few-shot Chest X-ray Diagnosis
WACV 2026
Two Heads Are Better than One: Distilling Large Language Model Features into Small Models with Feature Decomposition and Mixture
AAAI 2026
Activation Subspaces for Out-of-Distribution Detection
ICCV 2025
FaithfulSAE: Towards Capturing Faithful Features with Sparse Autoencoders without External Datasets Dependency
ACL 2025
FD2-Net: Frequency-Driven Feature Decomposition Network for Infrared-Visible Object Detection
AAAI 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
HOLa: Zero-Shot HOI Detection with Low-Rank Decomposed VLM Feature Adaptation
ICCV 2025
Interpretable Company Similarity with Sparse Autoencoders
ACL 2025
Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery
ICCV 2025
SAEs Are Good for Steering – If You Select the Right Features
EMNLP 2025
SFAL: Semantic-Functional Alignment Scores for Distributional Evaluation of Auto-Interpretability in Sparse Autoencoders
EMNLP 2025
Sparse Autoencoders Do Not Find Canonical Units of Analysis
ICLR 2025
CEDFlow: Latent Contour Enhancement for Dark Optical Flow Estimation
AAAI 2024
Cross-Domain Feature Augmentation for Domain Generalization
IJCAI 2024
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP
NeurIPS 2024
DeMatch: Deep Decomposition of Motion Field for Two-View Correspondence Learning
CVPR 2024
Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
NeurIPS 2024
Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2
EMNLP 2024
HDQMF: Holographic Feature Decomposition Using Quantum Algorithms
CVPR 2024
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
CVPR 2024
Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition
ICLR 2024