conftrace_

concept learning

121 papers

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Co-occurring keywords

few-shot learning (3398) representation learning (6206) diffusion model (3751) machine teaching (38) description logic (107) text-to-image generation (587) generative model (2892) vision-language model (2348) large language model (13587) visual reasoning (493)

Papers

Forget Less by Learning from Parents Through Hierarchical Relationships AAAI 2026
Distilling Diversity and Control in Diffusion Models WACV 2026
Stop Mixing Things Up! BISCUIT Teaches Vision-Language Models to Learn New Concepts from Images on the Spot AAAI 2026
Bi-ICE: An Inner Interpretable Framework for Image Classification via Bi-directional Interactions between Concept and Input Embeddings WACV 2026
Forget Less by Learning Together through Concept Consolidation WACV 2026
ConceptGuard: Continual Personalized Text-to-Image Generation with Forgetting and Confusion Mitigation CVPR 2025
ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers IJCAI 2025
Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning ACL 2025
MultiBooth: Towards Generating All Your Concepts in an Image from Text AAAI 2025
CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization AAAI 2025
Self-Evolving Visual Concept Library using Vision-Language Critics CVPR 2025
Dis²Booth: Learning Image Distribution with Disentangled Features for Text-to-Image Diffusion Models AAAI 2025
Improving Personalized Search with Regularized Low-Rank Parameter Updates CVPR 2025
Attribute-formed Class-specific Concept Space: Endowing Language Bottleneck Model with Better Interpretability and Scalability CVPR 2025
OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad CVPR 2025
JEN-1 DreamStyler: Customized Musical Concept Learning via Pivotal Parameters Tuning AAAI 2025
Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant Learning AAAI 2025
Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning AAAI 2025
Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction CVPR 2025
TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correction CVPR 2025
Neural Concept Binder NIPS 2024
CAILA: Concept-Aware Intra-Layer Adapters for Compositional Zero-Shot Learning WACV 2024
Learning Discrete Concepts in Latent Hierarchical Models NIPS 2024
MAP- and MLE-Based Teaching JMLR 2024
CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection CVPR 2024