Ensemble Learning

An Asymptotic Study of Discriminant and Vote-Averaging Schemes for Randomly-Projected Linear Discriminants JMLR 2024 Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification AAAI 2024 Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems NeurIPS 2024 Bayesian Exploration of Pre-trained Models for Low-shot Image Classification CVPR 2024 BlockBoost: Scalable and Efficient Blocking through Boosting AISTATS 2024 CaresAI at SemEval-2024 Task 2: Improving Natural Language Inference in Clinical Trial Data using Model Ensemble and Data Explanation SemEval 2024 Causal Q-Aggregation for CATE Model Selection AISTATS 2024 Credal Deep Ensembles for Uncertainty Quantification NeurIPS 2024 Debiasing, Calibrating, and Improving Semi-Supervised Learning Performance via Simple Ensemble Projector WACV 2024 Divide and not forget: Ensemble of selectively trained experts in Continual Learning ICLR 2024 DOFEN: Deep Oblivious Forest ENsemble NeurIPS 2024 Enhancing Ensemble Clustering with Adaptive High-Order Topological Weights AAAI 2024 ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles IJCAI 2024 Faster Repeated Evasion Attacks in Tree Ensembles NeurIPS 2024 Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation EMNLP 2024 HAMiSoN-Ensemble at ClimateActivism 2024: Ensemble of RoBERTa, Llama 2, and Multi-task for Stance Detection EACL 2024 How many classifiers do we need? NeurIPS 2024 Improving Latin Dependency Parsing by Combining Treebanks and Predictions EMNLP 2024 IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing NeurIPS 2024 Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios ACL 2024 kubapok@LT-EDI 2024: Evaluating Transformer Models for Hate Speech Detection in Tamil EACL 2024 Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks ICLR 2024 Learning Performance Maximizing Ensembles with Explainability Guarantees AAAI 2024 Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias AISTATS 2024 LMU-BioNLP at SemEval-2024 Task 2: Large Diverse Ensembles for Robust Clinical NLI SemEval 2024