model combination

Combining Climate Models using Bayesian Regression Trees and Random Paths JMLR 2025 PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract) AAAI 2024 Combining Multilingual Resources and Models to Develop State-of-the-Art E2E ASR for Swedish Interspeech 2023 Document-Level Language Models for Machine Translation EMNLP 2023 Automatic Learning of Subword Dependent Model Scales Interspeech 2022 Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting AAAI 2022 Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning NeurIPS 2022 Combining Hybrid and End-to-End Approaches for the OpenASR20 Challenge Interspeech 2021 Handling Acoustic Variation in Dysarthric Speech Recognition Systems Through Model Combination Interspeech 2021 Personalized Federated Learning with First Order Model Optimization ICLR 2021 RTM Super Learner Results at Quality Estimation Task EMNLP 2021 Unsupervised Multi-Source Domain Adaptation Without Access to Source Data CVPR 2021 Connecting and Comparing Language Model Interpolation Techniques Interspeech 2019 Frustratingly Easy Model Ensemble for Abstractive Summarization EMNLP 2018 Combining Gaussian Mixture Models and Segmental Feature Models for Speaker Recognition Interspeech 2017 Dual Inference for Machine Learning IJCAI 2017 Improving Neural Parsing by Disentangling Model Combination and Reranking Effects ACL 2017 Kernel Estimation and Model Combination in A Bandit Problem with Covariates JMLR 2016 Machine Learning Markets AISTATS 2011 Simple Local Models for Complex Dynamical Systems NeurIPS 2008 Bayesian Ensemble Learning NeurIPS 2006