concept embedding

Hierarchical Concept Embedding & Pursuit for Interpretable Image Classification CVPR 2026 AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion Models ICML 2025 ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features ICML 2025 CusConcept: Customized Visual Concept Decomposition with Diffusion Models WACV 2025 DGCPL: Dual Graph Distillation for Concept Prerequisite Relation Learning IJCAI 2025 Evaluating Textual and Visual Semantic Neighborhoods of Abstract and Concrete Concepts EMNLP 2025 Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce Classification CVPR 2025 Partial Colexifications Improve Concept Embeddings ACL 2025 AMenDeD: Modelling Concepts by Aligning Mentions, Definitions and Decontextualised Embeddings COLING 2024 CLiC: Concept Learning in Context CVPR 2024 Decoupled Textual Embeddings for Customized Image Generation AAAI 2024 Enhancing Explainable Rating Prediction through Annotated Macro Concepts ACL 2024 Incremental Residual Concept Bottleneck Models CVPR 2024 Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings ACL 2024 ProMark: Proactive Diffusion Watermarking for Causal Attribution CVPR 2024 Inductive Relation Inference of Knowledge Graph Enhanced by Ontology Information EMNLP 2023 Interpretable Neural-Symbolic Concept Reasoning ICML 2023 Learning to Taste: A Multimodal Wine Dataset NeurIPS 2023 What do Deck Chairs and Sun Hats Have in Common? Uncovering Shared Properties in Large Concept Vocabularies EMNLP 2023 Modelling Commonsense Properties Using Pre-Trained Bi-Encoders COLING 2022 VICE: Variational Interpretable Concept Embeddings NeurIPS 2022 HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning EMNLP 2021 Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings ACL 2020 ConceptBert: Concept-Aware Representation for Visual Question Answering EMNLP 2020 Knowledge Base Completion for Constructing Problem-Oriented Medical Records MLHC 2020