model diversity

Balancing Act: Diversity and Consistency in Large Language Model Ensembles ICLR 2025 Many-Objective Multi-Solution Transport ICLR 2025 Balancing Humans and Machines: A Study on Integration Scale and Its Impact on Collaborative Performance AAAI 2024 Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation AAAI 2023 Agree to Disagree: Diversity through Disagreement for Better Transferability ICLR 2023 Diverse Cotraining Makes Strong Semi-Supervised Segmentor ICCV 2023 Joint Training of Deep Ensembles Fails Due to Learner Collusion NeurIPS 2023 Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning NeurIPS 2023 Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries ICML 2023 Increasing the Diversity of Deep Generative Models AAAI 2022 Prune and Tune Ensembles: Low-Cost Ensemble Learning with Sparse Independent Subnetworks AAAI 2022 Rethinking Fano’s Inequality in Ensemble Learning ICML 2022 Diversity Matters When Learning From Ensembles NeurIPS 2021 Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness AAAI 2021 Nondeterminism and Instability in Neural Network Optimization ICML 2021 Repulsive Deep Ensembles are Bayesian NeurIPS 2021 Ensembles of Locally Independent Prediction Models AAAI 2020 The Diversified Ensemble Neural Network NeurIPS 2020 Learning Diverse Bayesian Networks AAAI 2019 Diverse Ensemble Evolution: Curriculum Data-Model Marriage NeurIPS 2018 Designing Committees of Models through Deliberate Weighting of Data Points JMLR 2003