conftrace_

feature space

219 papers

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Co-occurring keywords

representation learning (6206) feature learning (1311) domain adaptation (4595) neural network (6616) convolutional neural network (4226) contrastive learning (4032) kernel methods (1097) transfer learning (5449) out-of-distribution detection (617) semantic segmentation (3186)

Papers

Tabular Learnwares Can Be Repurposed for Seemingly Irrelevant New Tasks AAAI 2026
ImageBindDC: Compressing Multi-modal Data with ImageBind-based Condensation AAAI 2026
DreamCatcher: Efficient Multi-Concept Customization via Representation Finetuning WACV 2026
Classifier-induced Reciprocal Points for Multi-label Open-set Recognition AAAI 2026
S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning AAAI 2026
Ellipsoid-Based Decision Boundaries for Open Intent Classification AAAI 2026
Split-Layer: Enhancing Implicit Neural Representation by Maximizing the Dimensionality of Feature Space AAAI 2026
Multilingual Learning Strategies in Multilingual Large Language Models EMNLP 2025
G2SF: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection ICCV 2025
Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning AAAI 2025
Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels ICCV 2025
Dynamic and Adaptive Feature Generation with LLM IJCAI 2025
Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation CVPR 2025
FedCS: Coreset Selection for Federated Learning CVPR 2025
MASTER: A Multi-granularity Invariant Structure Clustering Scheme for Multi-view Clustering IJCAI 2025
Covariance-Based Space Regularization for Few-Shot Class Incremental Learning WACV 2025
On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning IJCAI 2025
Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor CVPR 2025
A4A: Adapter for Adapter Transfer via All-for-All Mapping for Cross-Architecture Models CVPR 2025
A Tiny Change, A Giant Leap: Long-Tailed Class-Incremental Learning via Geometric Prototype Alignment ICCV 2025
ESC: Erasing Space Concept for Knowledge Deletion CVPR 2025
Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning CVPR 2025
Looking at Model Debiasing through the Lens of Anomaly Detection WACV 2025
Looking in the Mirror: A Faithful Counterfactual Explanation Method for Interpreting Deep Image Classification Models ICCV 2025
GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning AAAI 2025