Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond

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Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond

19 January 2025

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Papers citing "Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond"

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Title
A Framework for Controllable Multi-objective Learning with Annealed Stein Variational Hypernetworks Minh-Duc Nguyen Dung D. Le 31 0 0 07 Jun 2025
Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets Ning Lu Shengcai Liu Jiahao Wu Weiyu Chen Zhirui Zhang Yew-Soon Ong Qi Wang Ke Tang 111 3 0 17 May 2025
PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model Baijiong Lin Weisen Jiang Yuancheng Xu Hao Chen Ying-Cong Chen 88 1 0 06 May 2025
Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off Song Lai Zhe Zhao Fei Zhu Xi Lin Qingfu Zhang Gaofeng Meng CLL 96 2 0 30 Mar 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning Erlong Liu Yu-Chang Wu Xiaobin Huang Chengrui Gao Ren-Jian Wang Ke Xue Chao Qian OffRL 237 2 0 12 Jan 2025
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks Minh-Duc Nguyen Phuong Mai Dinh Quang-Huy Nguyen L. P. Hoang Dung D. Le 126 2 0 23 Dec 2024
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 294 1 0 21 Oct 2024
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks Youngsik Hwang Dong-Young Lim AI4CE 119 3 0 27 Sep 2024
Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems Timo Wilm Philipp Normann Felix Stepprath 120 2 0 23 Jul 2024
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences Nikolaos Dimitriadis Pascal Frossard François Fleuret MoE 260 8 0 10 Jul 2024