majority vote

On the Interplay between Human Label Variation and Model Fairness EACL 2026 Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning AAAI 2026 Confidence Improves Self-Consistency in LLMs ACL 2025 GraphProt: Certified Black-Box Shielding Against Backdoored Graph Models IJCAI 2025 Sample Compression Scheme Reductions ALT 2025 Bagging is an Optimal PAC Learner (Extended Abstract) IJCAI 2024 Don’t Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget ICML 2024 How many classifiers do we need? NeurIPS 2024 Majority-of-Three: The Simplest Optimal Learner? COLT 2024 The Many Faces of Optimal Weak-to-Strong Learning NeurIPS 2024 Bagging is an Optimal PAC Learner COLT 2023 Run-off Election: Improved Provable Defense against Data Poisoning Attacks ICML 2023 Weakly Supervised Semantic Parsing with Execution-based Spurious Program Filtering EMNLP 2023 When are ensembles really effective? NeurIPS 2023 Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks AAAI 2022 A PAC-Bayes Analysis of Adversarial Robustness NeurIPS 2021 Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound NeurIPS 2021 Majority Vote in Social Networks: Make Random Friends or Be Stubborn to Overpower Elites IJCAI 2021 Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling ICML 2021 Semi-Supervised Aggregation of Dependent Weak Supervision Sources With Performance Guarantees AISTATS 2021 A Diversity-aware Model for Majority Vote Ensemble Accuracy AISTATS 2020 Event Causality Recognition Exploiting Multiple Annotators’ Judgments and Background Knowledge EMNLP 2019 signSGD with Majority Vote is Communication Efficient and Fault Tolerant ICLR 2019 The R2I_LIS Team Proposes Majority Vote for VarDial’s MRC Task NAACL 2019 A Stepwise Analysis of Aggregated Crowdsourced Labels Describing Multimodal Emotional Behaviors Interspeech 2017