batch sampling

Active Batch Sampling for Multi-Label Classification With Binary User Feedback WACV 2024 Active Learning Guided by Efficient Surrogate Learners AAAI 2024 Domain-Weighted Batch Sampling for Neural Dependency Parsing COLING 2024 Beam Search Optimized Batch Bayesian Active Learning AAAI 2023 Global Selection of Contrastive Batches via Optimization on Sample Permutations ICML 2023 Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing ICLR 2023 Streaming Active Learning with Deep Neural Networks ICML 2023 TokenDrop + BucketSampler: Towards Efficient Padding-free Fine-tuning of Language Models EMNLP 2023 Active Learning by Feature Mixing CVPR 2022 Active Learning on Pre-trained Language Model with Task-Independent Triplet Loss AAAI 2022 Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes AISTATS 2022 Meta Agent Teaming Active Learning for Pose Estimation CVPR 2022 Batch Decorrelation for Active Metric Learning IJCAI 2020 Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations NeurIPS 2020 Deep Metric Learning to Rank CVPR 2019