conftrace_

determinantal point process

140 papers

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Also known as

DPP

Co-occurring keywords

subset selection (90) map inference (130) markov chain monte carlo (725) probabilistic modeling (852) kernel matrix (73) sampling algorithm (130) submodular optimization (261) bayesian optimization (624) kernel methods (1097) combinatorial optimization (1039)

Papers

VOYAGER: A Training Free Approach for Generating Diverse Datasets using LLMs ACL 2026
Selection of LLM Fine-Tuning Data Based on Orthogonal Rules AAAI 2026
Temporal Memory Enhancement for Semantic Segmentation in Surgical Video MIDL 2026
DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation AAAI 2025
MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval IJCAI 2025
A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation AAAI 2025
RELexED: Retrieval-Enhanced Legal Summarization with Exemplar Diversity NAACL 2025
LeCoPCR: Legal Concept-guided Prior Case Retrieval for European Court of Human Rights cases NAACL 2025
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples WACV 2025
Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes EMNLP 2025
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning IJCAI 2025
MDP3: A Training-free Approach for List-wise Frame Selection in Video-LLMs ICCV 2025
Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries ACL 2025
DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows CVPR 2025
Small coresets via negative dependence: DPPs, linear statistics, and concentration NIPS 2024
A Greedy Approximation for k-Determinantal Point Processes AISTATS 2024
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process EMNLP 2024
TISE: A Tripartite In-context Selection Method for Event Argument Extraction NAACL 2024
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization AAAI 2024
DPPMask: Masked Image Modeling With Determinantal Point Processes WACV 2024
Fast Dynamic Sampling for Determinantal Point Processes AISTATS 2024
DPP-TTS: Diversifying prosodic features of speech via determinantal point processes EMNLP 2023
Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process EMNLP 2023
A Faster Sampler for Discrete Determinantal Point Processes AISTATS 2023
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation AISTATS 2023