determinantal point process

Beyond Heuristic Prompting: A Concept-Guided Bayesian Framework for Zero-Shot Image Recognition CVPR 2026 DDSF: Robust Few-Shot Learning via Disentangled Subspaces with Determinantal Point Process CVPR 2026 Diverse Video Generation with Determinantal Point Process-Guided Policy Optimization CVPR 2026 Selection of LLM Fine-Tuning Data Based on Orthogonal Rules AAAI 2026 Temporal Memory Enhancement for Semantic Segmentation in Surgical Video MIDL 2026 VOYAGER: A Training Free Approach for Generating Diverse Datasets using LLMs ACL 2026 A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence AISTATS 2025 A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation AAAI 2025 Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes EMNLP 2025 DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows CVPR 2025 DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation AAAI 2025 Efficient Diversity-based Experience Replay for Deep Reinforcement Learning IJCAI 2025 LeCoPCR: Legal Concept-guided Prior Case Retrieval for European Court of Human Rights cases NAACL 2025 MDP3: A Training-free Approach for List-wise Frame Selection in Video-LLMs ICCV 2025 MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval IJCAI 2025 Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries ACL 2025 RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples WACV 2025 RELexED: Retrieval-Enhanced Legal Summarization with Exemplar Diversity NAACL 2025 A Greedy Approximation for k-Determinantal Point Processes AISTATS 2024 DPPMask: Masked Image Modeling With Determinantal Point Processes WACV 2024 Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process EMNLP 2024 Fast Dynamic Sampling for Determinantal Point Processes AISTATS 2024 Fast parallel sampling under isoperimetry COLT 2024 Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization AAAI 2024 Small coresets via negative dependence: DPPs, linear statistics, and concentration NeurIPS 2024