"bi-level optimization" Papers

Bayesian Experimental Design Via Contrastive Diffusions

Jacopo Iollo, Christophe Heinkelé, Pierre Alliez et al.

CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching

Xingjian Wu, Xiangfei Qiu, Zhengyu Li et al.

FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning

Li Zhang, Zhongxuan Han, XiaoHua Feng et al.

Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs

Hao Fang, Changle Zhou, Jiawei Kong et al.

Inverse Methods for Missing Data Imputation

Hao Wang, zhengnan li, Zhichao Chen et al.

MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimization

Zeyuan Ma, Yue-Jiao Gong, Hongshu Guo et al.

Optimizing importance weighting in the presence of sub-population shifts

Floris Holstege, Bram Wouters, Noud Giersbergen et al.

Quantized Spike-driven Transformer

Xuerui Qiu, Malu Zhang, Jieyuan Zhang et al.

Value-aligned Behavior Cloning for Offline Reinforcement Learning via Bi-level Optimization

Xingyu Jiang, Ning Gao, Xiuhui Zhang et al.

Advancing Dynamic Sparse Training by Exploring Optimization Opportunities

Jie Ji, Gen Li, Lu Yin et al.

BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation

Li Zhang, Youwei Liang, Ruiyi Zhang et al.

Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators

Sikai Bai, Shuaicheng Li, Weiming Zhuang et al.

DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation

Qinshuo Liu, Zixin Wang, Xi'an Li et al.

DOGE: Domain Reweighting with Generalization Estimation

Simin Fan, Matteo Pagliardini, Martin Jaggi

FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering

Yongxin Guo, Xiaoying Tang, Tao Lin

HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning

Shengchao Hu, Ziqing Fan, Li Shen et al.

Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion

Guanyao Wu, Hongming Fu, Jinyuan Liu et al.

IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance

Hongyi He, Longjun Liu, Haonan Zhang et al.

M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy

Hansong Zhang, Shikun Li, Pengju Wang et al.

MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning

Baoquan Zhang, Chuyao Luo, Demin Yu et al.

MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence

Hongduan Tian, Feng Liu, Tongliang Liu et al.

Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement

Fushuo Huo, Wenchao Xu, Jingcai Guo et al.

On the Maximal Local Disparity of Fairness-Aware Classifiers

Jinqiu Jin, Haoxuan Li, Fuli Feng

Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization

Toward Availability Attacks in 3D Point Clouds

Yifan Zhu, Yibo Miao, Yinpeng Dong et al.