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Ensemble Learning

347 directly classified papers

Papers per year

Papers

Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles AISTATS 2024
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation EMNLP 2024
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models AAAI 2024
PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness CVPR 2024
Predicting the Performance of Foundation Models via Agreement-on-the-Line NIPS 2024
How many classifiers do we need? NIPS 2024
Post-Hoc Reversal: Are We Selecting Models Prematurely? NIPS 2024
UAlberta at SemEval-2024 Task 1: A Potpourri of Methods for Quantifying Multilingual Semantic Textual Relatedness and Similarity SEMEVAL 2024
Causal Q-Aggregation for CATE Model Selection AISTATS 2024
Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios ACL 2024
MasonTigers at SemEval-2024 Task 1: An Ensemble Approach for Semantic Textual Relatedness SEMEVAL 2024
HAMiSoN-Ensemble at ClimateActivism 2024: Ensemble of RoBERTa, Llama 2, and Multi-task for Stance Detection EACL 2024
AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations SEMEVAL 2024
Improving Latin Dependency Parsing by Combining Treebanks and Predictions EMNLP 2024
Enhancing Ensemble Clustering with Adaptive High-Order Topological Weights AAAI 2024
kubapok@LT-EDI 2024: Evaluating Transformer Models for Hate Speech Detection in Tamil EACL 2024
TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples AAAI 2024
LMU-BioNLP at SemEval-2024 Task 2: Large Diverse Ensembles for Robust Clinical NLI SEMEVAL 2024
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
Debiasing, Calibrating, and Improving Semi-Supervised Learning Performance via Simple Ensemble Projector WACV 2024
A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers NIPS 2024
SSN-Nova@LT-EDI 2024: Leveraging Vectorisation Techniques in an Ensemble Approach for Stress Identification in Low-Resource Languages EACL 2024
Credal Deep Ensembles for Uncertainty Quantification NIPS 2024
Revisiting Ensembling in One-Shot Federated Learning NIPS 2024