batch selection

Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations AAAI 2025 Dynamic Jointly Batch Selection for Data Efficient Machine Translation Fine-Tuning EMNLP 2025 Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach AISTATS 2024 Diversified Batch Selection for Training Acceleration ICML 2024 GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration NeurIPS 2024 REDUCR: Robust Data Downsampling using Class Priority Reweighting NeurIPS 2024 Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle ICLR 2023 Leveraging Importance Weights in Subset Selection ICLR 2023 No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models NeurIPS 2023 ALGES: Active Learning with Gradient Embeddings for Semantic Segmentation of Laparoscopic Surgical Images MLHC 2022 FairBatch: Batch Selection for Model Fairness ICLR 2021 Asking the Right Questions to the Right Users: Active Learning with Imperfect Oracles AAAI 2020 Fixing Mini-batch Sequences with Hierarchical Robust Partitioning AISTATS 2019 Submodular Batch Selection for Training Deep Neural Networks IJCAI 2019 Batch Bayesian Optimization via Simulation Matching NeurIPS 2010