conftrace_

Models

20,488 papers (23 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Generative Models (8,597) Diffusion Models (6,478) Large Language Models (2,815) Variational Inference (2,186) Vision-Language Models (839) Language Models (763) Foundation Models (330) Language Modeling (92) Variational Autoencoders (67) Neural Radiance Fields (46) Sequence-to-Sequence (42) Variational Autoencoder (24)

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Papers (including subtopics)

CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models AAAI 2025 ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features ICML 2025 Concept-Centric Token Interpretation for Vector-Quantized Generative Models ICML 2025 Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image Synthesis AAAI 2025 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 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 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