Poster "multi-objective optimization" Papers
30 papers found
Conference
Bayesian Optimization with Preference Exploration using a Monotonic Neural Network Ensemble
Hanyang Wang, Juergen Branke, Matthias Poloczek
ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks
Qiang Liu, Mengyu Chu, Nils Thuerey
ConStellaration: A dataset of QI-like stellarator plasma boundaries and optimization benchmarks
Santiago Cadena, Andrea Merlo, Emanuel Laude et al.
Continual Model Merging without Data: Dual Projections for Balancing Stability and Plasticity
Enneng Yang, Anke Tang, Li Shen et al.
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization
Natalie Maus, Kyurae Kim, Yimeng Zeng et al.
DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling
Xin Xie, Dong Gong
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
Xi Lin, Yilu Liu, Xiaoyuan Zhang et al.
Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization
Chenrui Wang, Junyi Shu, Billy Chiu et al.
Many-Objective Multi-Solution Transport
Ziyue Li, Tian Li, Virginia Smith et al.
MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimization
Zeyuan Ma, Yue-Jiao Gong, Hongshu Guo et al.
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
Ping Guo, Cheng Gong, Fei Liu et al.
Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs
Amirmohammad Farzaneh, Osvaldo Simeone
Neural Evolution Strategy for Black-box Pareto Set Learning
Chengyu Lu, Zhenhua Li, Xi Lin et al.
Pareto Prompt Optimization
Guang Zhao, Byung-Jun Yoon, Gilchan Park et al.
Preference Optimization on Pareto Sets: On a Theory of Multi-Objective Optimization
Abhishek Roy, Geelon So, Yian Ma
RepGuard: Adaptive Feature Decoupling for Robust Backdoor Defense in Large Language Models
Chenxu Niu, Jie Zhang, Yanbing Liu et al.
Sequential Multi-Agent Dynamic Algorithm Configuration
Chen Lu, Ke Xue, Lei Yuan et al.
TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition
Zhe Zhao, Zhiheng Gong, Pengkun Wang et al.
Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering
Yangfu Li, Hongjian Zhan, Tianyi Chen et al.
A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design
Zhihai Wang, Jie Wang, Dongsheng Zuo et al.
Embarrassingly Parallel GFlowNets
Tiago Silva, Luiz Carvalho, Amauri Souza et al.
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization
Nayeong Kim, Juwon Kang, Sungsoo Ahn et al.
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets
Peng Liao, Xilu Wang, Yaochu Jin et al.
Offline Multi-Objective Optimization
Ke Xue, Rong-Xi Tan, Xiaobin Huang et al.
Optimizing Watermarks for Large Language Models
Bram Wouters
Privacy Preserving Adaptive Experiment Design
Jiachun Li, Kaining Shi, David Simchi-Levi
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization
Hao Wang, Kaifeng Yang, Michael Affenzeller
Smooth Tchebycheff Scalarization for Multi-Objective Optimization
Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang et al.
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models
Mingjia Huo, Sai Ashish Somayajula, Youwei Liang et al.
Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning
Zhe Zhao, Pengkun Wang, HaiBin Wen et al.