Exploring Optimal Substructure for Out-of-distribution Generalization
via Feature-targeted Model Pruning

Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning

19 December 2022

Papers citing "Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning"

19 / 19 papers shown

Title
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data Yuxia Sun Aoxiang Sun Siyi Pan Zhixiao Fu Jingcai Guo 83 0 0 11 Feb 2025
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning Miaoge Li Jingcai Guo Richard Yi Da Xu Dongsheng Wang Xiaofeng Cao Zhijie Rao Song Guo CoGe 70 3 0 28 Jan 2025
Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition Yang Chen Jingcai Guo Song Guo Dacheng Tao 33 0 0 18 Nov 2024
Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning Ziming Liu Jingcai Guo Song Guo Xiaocheng Lu VLM 27 2 0 22 Aug 2024
On the Element-Wise Representation and Reasoning in Zero-Shot Image Recognition: A Systematic Survey Jingcai Guo Zhijie Rao Zhi Chen Song Guo Jingren Zhou Dacheng Tao 33 3 0 09 Aug 2024
Dual Expert Distillation Network for Generalized Zero-Shot Learning Zhijie Rao Jingcai Guo Xiaocheng Lu Jingming Liang Jie M. Zhang Haozhao Wang Kang Wei Xiaofeng Cao FedML 30 3 0 25 Apr 2024
Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognition Yang Chen Jingcai Guo Tian He Ling Wang 36 6 0 11 Apr 2024
Fine-Grained Zero-Shot Learning: Advances, Challenges, and Prospects Jingcai Guo Zhijie Rao Song Guo Jingren Zhou Dacheng Tao 32 7 0 31 Jan 2024
ParsNets: A Parsimonious Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning Jingcai Guo Qihua Zhou Ruibin Li Xiaocheng Lu Ziming Liu Junyang Chen Xin Xie Jie M. Zhang 71 4 0 15 Dec 2023
Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning Zhijie Rao Jingcai Guo Xiaocheng Lu Qihua Zhou Jiewei Zhang Kang Wei Chenxin Li Song Guo 23 6 0 23 Nov 2023
GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning Ziming Liu Jingcai Guo Xiaocheng Lu Song Guo Peiran Dong Jiewei Zhang VLM 19 8 0 02 Sep 2023
SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection Zhijie Rao Jingcai Guo Luyao Tang Yue Huang Xinghao Ding Song Guo 21 16 0 04 Jul 2023
MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition Jingcai Guo Yuanyuan Xu Wenchao Xu Yufeng Zhan Yuxia Sun Song Guo 42 12 0 02 May 2023
CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenario Jingcai Guo Song Guo Shiheng Ma Yuxia Sun Yuanyuan Xu AAML 52 26 0 02 May 2023
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models Yingchun Wang Jingcai Guo Jie M. Zhang Song Guo Weizhan Zhang Qinghua Zheng FedML 24 11 0 09 Feb 2023
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network Jingcai Guo Song Guo Jie M. Zhang Ziming Liu FedML 25 15 0 21 Aug 2022
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 146 370 0 09 May 2020
Domain Adaptive Ensemble Learning Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang OOD 137 273 0 16 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020