ensemble diversity

Improving Accuracy and Calibration via Differentiated Deep Mutual Learning CVPR 2025 Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models ICML 2025 Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA NeurIPS 2024 Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias AISTATS 2024 Predicting the Performance of Foundation Models via Agreement-on-the-Line NeurIPS 2024 A Unified Theory of Diversity in Ensemble Learning JMLR 2023 Lowering the Pre-training Tax for Gradient-based Subset Training: A Lightweight Distributed Pre-Training Toolkit ICML 2023 Maximizing Ensemble Diversity in Deep Reinforcement Learning ICLR 2022 Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles AAAI 2021 Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics CVPR 2021 DIBS: Diversity Inducing Information Bottleneck in Model Ensembles AAAI 2021 Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks AAAI 2021 Ensembles of Locally Independent Prediction Models AAAI 2020 Improving Adversarial Robustness via Promoting Ensemble Diversity ICML 2019 An ensemble diversity approach to supervised binary hashing NeurIPS 2016 Managing Diversity in Regression Ensembles JMLR 2005