Deep Learning

ConceptGuard: Continual Personalized Text-to-Image Generation with Forgetting and Confusion Mitigation CVPR 2025 Concept Lancet: Image Editing with Compositional Representation Transplant CVPR 2025 Concept-pedia: a Wide-coverage Semantically-annotated Multimodal Dataset EMNLP 2025 Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention Gate ICLR 2025 ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning ICLR 2025 Concept Reachability in Diffusion Models: Beyond Dataset Constraints ICML 2025 Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization CVPR 2025 ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) AAAI 2025 ConceptSplit: Decoupled Multi-Concept Personalization of Diffusion Models via Token-wise Adaptation and Attention Disentanglement ICCV 2025 Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency WACV 2025 ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning EMNLP 2025 ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models EMNLP 2025 ConCodeEval: Evaluating Large Language Models for Code Constraints in Domain-Specific Languages ACL 2025 CondenseLM: LLMs-driven Text Dataset Condensation via Reward Matching EMNLP 2025 Condensing Action Segmentation Datasets via Generative Network Inversion CVPR 2025 Conditional Dichotomy Quantification via Geometric Embedding ACL 2025 Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free MIDL 2025 Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation ICLR 2025 Conditional Diffusion Models Based Conditional Independence Testing AAAI 2025 Conditional Diffusion Model with Nonlinear Data Transformation for Time Series Forecasting ICML 2025 Conditional diffusions for amortized neural posterior estimation AISTATS 2025 Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies ICLR 2025 Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests AAAI 2025 Conditional GAN for Enhancing Diffusion Models in Efficient and Authentic Global Gesture Generation from Audios WACV 2025 Conditional Generative Learning from Invariant Representations in Multi-Source: Robustness and Efficiency AISTATS 2025