conftrace_

subset selection

90 papers

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Co-occurring keywords

determinantal point process (140) submodular optimization (261) greedy algorithm (242) approximation algorithm (630) submodular function (121) pareto optimization (78) combinatorial optimization (1039) neural network (6616) feature selection (649) representation learning (6206)

Papers

Private Frequency Estimation via Residue Number Systems AAAI 2026
Putting HUMANS first: Efficient LAM Evaluation with Human Preference Alignment ACL 2026
Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts WACV 2026
Investigating Data Pruning for Pretraining Biological Foundation Models at Scale AAAI 2026
CoLA: A Choice Leakage Attack Framework to Expose Privacy Risks in Subset Training ACL 2026
GRIP: Latent Field-Guided Graph Policy for Budget-Constrained Multi-Agent Routing AAAI 2026
Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation EMNLP 2025
SubLIME: Subset Selection via Rank Correlation Prediction for Data-Efficient LLM Evaluation ACL 2025
SEAL: Semantic Attention Learning for Long Video Representation CVPR 2025
Disentangling the Roles of Representation and Selection in Data Pruning ACL 2025
Approximating Metric Magnitude of Point Sets AAAI 2025
Learning Set Functions with Implicit Differentiation AAAI 2025
SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest EMNLP 2025
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models CVPR 2024
EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning EMNLP 2024
FuseGen: PLM Fusion for Data-generation based Zero-shot Learning EMNLP 2024
Small coresets via negative dependence: DPPs, linear statistics, and concentration NIPS 2024
HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection NIPS 2024
Bayesian Optimization of Functions over Node Subsets in Graphs NIPS 2024
Most Influential Subset Selection: Challenges, Promises, and Beyond NIPS 2024
Anchor Points: Benchmarking Models with Much Fewer Examples EACL 2024
RepMatch: Quantifying Cross-Instance Similarities in Representation Space EMNLP 2024
Large-Scale and Multi-Perspective Opinion Summarization with Diverse Review Subsets EMNLP 2023
Provable Data Subset Selection For Efficient Neural Networks Training ICML 2023
Randomness Is the Root of All Evil: More Reliable Evaluation of Deep Active Learning WACV 2023