Learning Bounds for Open-Set Learning

30 June 2021

Papers citing "Learning Bounds for Open-Set Learning"

35 / 35 papers shown

Title
Generalizable Prompt Learning of CLIP: A Brief Overview Fangming Cui Yonggang Zhang Xuan Wang Xule Wang Liang Xiao VPVLM VLM 129 0 0 03 Mar 2025
Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge Transfer Yujie Li Guannan Lai Xin Yang Y. Li Marcello Bonsangue Tianrui Li CLL VLM 76 0 0 27 Feb 2025
Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Xiang Fang Arvind Easwaran B. Genest Ponnuthurai Nagaratnam Suganthan OODD 78 0 0 20 Dec 2024
A Unified Data Representation Learning for Non-parametric Two-sample Testing Xunye Tian Liuhua Peng Zhijian Zhou M. Gong Feng Liu Feng Liu 82 0 0 30 Nov 2024
Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection Jinglun Li Xinyu Zhou Pinxue Guo Yixuan Sun Yiwen Huang Weifeng Ge Wenqiang Zhang 33 2 0 28 Aug 2024
Advancing Prompt Learning through an External Layer Fangming Cui Xun Yang Chao Wu Liang Xiao Xinmei Tian VLM 34 1 0 29 Jul 2024
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability Yijin Zhou Yuguang Wang Xiaowen Dong Yuguang Wang 38 0 0 13 Jun 2024
Rethinking Guidance Information to Utilize Unlabeled Samples:A Label Encoding Perspective Yulong Zhang Yuan Yao Shuhao Chen Pengrong Jin Yu Zhang Jian Jin Jiangang Lu 33 1 0 05 Jun 2024
Dynamic Against Dynamic: An Open-set Self-learning Framework Haifeng Yang Chuanxing Geng P. Yuen Songcan Chen 31 0 0 27 Apr 2024
A Survey on Open-Set Image Recognition Jiaying Sun Qiulei Dong BDL ObjD 30 3 0 25 Dec 2023
Learning to Augment Distributions for Out-of-Distribution Detection Qizhou Wang Zhen Fang Yonggang Zhang Feng Liu Yixuan Li Bo Han OODD 25 31 0 03 Nov 2023
Understanding the Feature Norm for Out-of-Distribution Detection Jaewoo Park Jacky Chen Long Chai Jaeho Yoon Andrew Beng Jin Teoh OODD 22 12 0 09 Oct 2023
Meta OOD Learning for Continuously Adaptive OOD Detection Xinheng Wu Jie Lu Zhen Fang Guangquan Zhang OODD 35 6 0 21 Sep 2023
Latent Space Energy-based Model for Fine-grained Open Set Recognition Wentao Bao Qi Yu Yu Kong BDL 19 2 0 19 Sep 2023
Mitigating Group Bias in Federated Learning for Heterogeneous Devices Khotso Selialia Yasra Chandio Fatima M. Anwar FedML 20 2 0 13 Sep 2023
Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher Jiawei Shao Fangzhao Wu Jun Zhang FedML 16 26 0 04 Apr 2023
Contrastive variational information bottleneck for aspect-based sentiment analysis Ming-Wei Chang Min Yang Qingshan Jiang Ruifeng Xu 19 4 0 06 Mar 2023
Open Set Action Recognition via Multi-Label Evidential Learning Chen Zhao Dawei Du A. Hoogs Christopher Funk EDL 12 23 0 27 Feb 2023
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 28 122 0 26 Oct 2022
Understanding Open-Set Recognition by Jacobian Norm and Inter-Class Separation Jaewoo Park Hojin Park Eunju Jeong Andrew Beng Jin Teoh 19 5 0 23 Sep 2022
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions R. Hebbalaguppe Soumya Suvra Goshal Jatin Prakash H. Khadilkar Chetan Arora OODD 25 4 0 28 Jul 2022
Towards Accurate Open-Set Recognition via Background-Class Regularization Wonwoong Cho Jaegul Choo BDL 6 17 0 21 Jul 2022
Federated Class-Incremental Learning Jiahua Dong Lixu Wang Zhen Fang Gan Sun Shichao Xu Xiao Wang Qi Zhu CLL FedML 22 167 0 22 Mar 2022
OpenTAL: Towards Open Set Temporal Action Localization Wentao Bao Qi Yu Yu Kong EDL 30 26 0 10 Mar 2022
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation Renchunzi Xie Hongxin Wei Lei Feng Bo An 13 11 0 16 Jan 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 171 873 0 21 Oct 2021
Conditional Extreme Value Theory for Open Set Video Domain Adaptation Zhuoxiao Chen Yadan Luo Mahsa Baktash 21 10 0 01 Sep 2021
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data Feng Liu Wenkai Xu Jie Lu Danica J. Sutherland 8 19 0 14 Jun 2021
Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled Graphs Jiaren Xiao Quanyu Dai Xiaochen Xie J. Lam Ka-Wai Kwok GNN 29 6 0 07 Jun 2021
Invertible Denoising Network: A Light Solution for Real Noise Removal Yang Liu Zhenyue Qin Saeed Anwar Pan Ji Dongwoo Kim Sabrina Caldwell Tom Gedeon 70 143 0 21 Apr 2021
Adversarial Reciprocal Points Learning for Open Set Recognition Guangyao Chen Peixi Peng Xiangqian Wang Yonghong Tian 43 284 0 01 Mar 2021
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data Haoang Chi Feng Liu Bo Han Wenjing Yang L. Lan Tongliang Liu Gang Niu Mingyuan Zhou Masashi Sugiyama 18 42 0 08 Feb 2021
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation Li Zhong Zhen Fang Feng Liu Bo Yuan Guangquan Zhang Jie Lu AAML 16 77 0 23 Jun 2020
Conditional Gaussian Distribution Learning for Open Set Recognition Xin Sun Zhen Yang Chi Zhang Guohao Peng K. Ling BDL UQCV 144 216 0 19 Mar 2020
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 788 0 19 Feb 2009