Ensemble Learning

A Simple yet Efficient Ensemble Approach for AI-generated Text Detection EMNLP 2023 A Unified Theory of Diversity in Ensemble Learning JMLR 2023 Boosting with Tempered Exponential Measures NeurIPS 2023 CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization ACL 2023 Certifying Ensembles: A General Certification Theory with S-Lipschitzness ICML 2023 Confidence and Uncertainty Assessment for Distributional Random Forests JMLR 2023 Confidence-based Ensembling of Perspective-aware Models EMNLP 2023 DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization AAAI 2023 DENL: Diverse Ensemble and Noisy Logits for Improved Robustness of Neural Networks ACML 2023 Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding ICML 2023 DREAM: Deployment of Recombination and Ensembles in Argument Mining EMNLP 2023 Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS “Cold-Start” AAAI 2023 Effective Proxy for Human Labeling: Ensemble Disagreement Scores in Large Language Models for Industrial NLP EMNLP 2023 Ensemble Transfer Learning for Multilingual Coreference Resolution ACL 2023 Federated Cross Learning for Medical Image Segmentation MIDL 2023 Flexible Model Aggregation for Quantile Regression JMLR 2023 ForestPrune: Compact Depth-Pruned Tree Ensembles AISTATS 2023 Frank at NADI 2023 Shared Task: Trio-Based Ensemble Approach for Arabic Dialect Identification EMNLP 2023 GBT: Generative Boosting Training Approach for Paraphrase Identification EMNLP 2023 Getting MoRE out of Mixture of Language Model Reasoning Experts EMNLP 2023 HW-TSC 2023 Submission for the Quality Estimation Shared Task EMNLP 2023 Improving Low Resource Speech Translation with Data Augmentation and Ensemble Strategies ACL 2023 Knowdee at BLP-2023 Task 2: Improving Bangla Sentiment Analysis Using Ensembled Models with Pseudo-Labeling EMNLP 2023 Language Models are Weak Learners NeurIPS 2023 Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles NeurIPS 2023