conftrace_

representative sampling

25 papers

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Co-occurring keywords

active learning (1301) data selection (221) sample selection (107) knowledge distillation (3725) few-shot learning (3398) determinantal point process (140) representative selection (8) optimization algorithm (148) video summarization (85) large language model (13587)

Papers

Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts EMNLP 2025
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples WACV 2025
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning CVPR 2024
Influential Exemplar Replay for Incremental Learning in Recommender Systems AAAI 2024
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection NIPS 2024
DREAM: Efficient Dataset Distillation by Representative Matching ICCV 2023
Identifying Selection Bias from Observational Data AAAI 2023
Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process EMNLP 2023
Generating Representative Samples for Few-Shot Classification CVPR 2022
ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits ACML 2022
Which Images To Label for Few-Shot Medical Landmark Detection? CVPR 2022
Domain Representative Keywords Selection: A Probabilistic Approach ACL 2022
Online Selection of Diverse Committees IJCAI 2021
DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier AAAI 2020
Iterative Projection and Matching: Finding Structure-Preserving Representatives and Its Application to Computer Vision CVPR 2019
Bounding Uncertainty for Active Batch Selection AAAI 2019
Region-Based Message Exploration over Spatio-Temporal Data Streams AAAI 2019
Learning and Data Selection in Big Datasets ICML 2019
Online Convex Matrix Factorization with Representative Regions NIPS 2019
New Balanced Active Learning Model and Optimization Algorithm IJCAI 2018
Fast SVM Trained by Divide-and-Conquer Anchors IJCAI 2017
Distributed Submodular Maximization: Identifying Representative Elements in Massive Data NIPS 2013
Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds NIPS 2011
Active Learning by Querying Informative and Representative Examples NIPS 2010
Using Machine Learning to Guide Architecture Simulation JMLR 2006