multi-task optimization

Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment AAAI 2026 TaskForce: Cooperative Multi-agent Reinforcement Learning for Multi-task Optimization CVPR 2026 Selective Task Group Updates for Multi-Task Optimization ICLR 2025 Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate NAACL 2025 ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning NeurIPS 2023 On the Pareto Front of Multilingual Neural Machine Translation NeurIPS 2023 Do Current Multi-Task Optimization Methods in Deep Learning Even Help? NeurIPS 2022 Adversarial Imaging Pipelines CVPR 2021 Bayesian Optimization with High-Dimensional Outputs NeurIPS 2021 Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models ICLR 2021 Autoencoder Bottleneck Features with Multi-Task Optimisation for Improved Continuous Dysarthric Speech Recognition Interspeech 2020 Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis AAAI 2019 Offline Contextual Bayesian Optimization NeurIPS 2019 A Group-based Approach to Improve Multifactorial Evolutionary Algorithm IJCAI 2018 Bayesian Optimization with Robust Bayesian Neural Networks NeurIPS 2016 Minimum Regret Search for Single- and Multi-Task Optimization ICML 2016