ensemble distillation

Credal Ensemble Distillation for Uncertainty Quantification AAAI 2026 FedAFD: Multimodal Federated Learning via Adversarial Fusion and Distillation CVPR 2026 Punching Above Precision: Small Quantized Model Distillation with Learnable Regularizer ACML 2025 BabyLlama-2: Ensemble-Distilled Models Consistently Outperform Teachers With Limited Data CoNLL 2024 Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space AAAI 2024 Federated Ensemble-Directed Offline Reinforcement Learning NeurIPS 2024 An Ensemble Distillation Framework for Sentence Embeddings with Multilingual Round-Trip Translation AAAI 2023 Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining ICML 2023 Self-Decoupling and Ensemble Distillation for Efficient Segmentation AAAI 2023 Towards Understanding Ensemble Distillation in Federated Learning ICML 2023 Cosine Model Watermarking against Ensemble Distillation AAAI 2022 Feature Kernel Distillation ICLR 2022 Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation ICML 2022 Maximum Bayes Smatch Ensemble Distillation for AMR Parsing NAACL 2022 Ensemble Attention Distillation for Privacy-Preserving Federated Learning ICCV 2021 Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets NeurIPS 2021 Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast—Choose Three EMNLP 2020 Ensemble Distribution Distillation ICLR 2020 Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation NeurIPS 2020 FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction EMNLP 2020