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Open-environment Machine Learning

1 June 2022

Papers citing "Open-environment Machine Learning"

39 / 39 papers shown

Title
Realistic Evaluation of TabPFN v2 in Open Environments Zi-Jian Cheng Zi-Yi Jia Zhi Zhou Yu-Feng Li Lan-Zhe Guo 55 0 0 22 May 2025
On the Learning with Augmented Class via Forests Fan Xu Wuyang Chen Wei Gao 48 0 0 14 May 2025
Representation Learning for Tabular Data: A Comprehensive Survey Jun-Peng Jiang Si-Yang Liu Hao-Run Cai Qile Zhou Han-Jia Ye LMTD 170 4 0 17 Apr 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors Yu Wang Junxian Mu Hongzhi Huang Qilong Wang Pengfei Zhu Q. Hu 236 1 0 22 Mar 2025
Understanding the Limits of Deep Tabular Methods with Temporal Shift Hao-Run Cai Han-Jia Ye AI4TS 113 4 0 27 Feb 2025
Robust Semi-Supervised Learning in Open Environments Lan-Zhe Guo Lin-Han Jia Jie-Jing Shao Yu-Feng Li OffRL 76 4 0 24 Dec 2024
Theoretically Guaranteed Distribution Adaptable Learning Chao Xu Xijia Tang Guoqing Liu Yuhua Qian Chenping Hou OOD 85 0 0 05 Nov 2024
Theory-inspired Label Shift Adaptation via Aligned Distribution Mixture Ruidong Fan Xiao Ouyang Hong Tao Yuhua Qian Chenping Hou OOD 92 0 0 04 Nov 2024
Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach Firas Bayram Bestoun S. Ahmed OOD 60 2 0 28 Oct 2024
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery Shijie Ma Fei Zhu Zhun Zhong Wenzhuo Liu Xu-Yao Zhang Cheng-Lin Liu CLL 87 9 0 09 Oct 2024
Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning Jiaming Liu Hongyuan Liu Zhili Qin Wei Han Yulu Fan Qinli Yang Junming Shao CLL 113 1 0 19 Aug 2024
Dynamic Against Dynamic: An Open-set Self-learning Framework Haifeng Yang Chuanxing Geng Pong C. Yuen Songcan Chen 120 1 0 27 Apr 2024
Open Continual Feature Selection via Granular-Ball Knowledge Transfer Xuemei Cao Xin Yang Shuyin Xia Guoyin Wang Tianrui Li CLL 60 5 0 15 Mar 2024
Parametric Feature Transfer: One-shot Federated Learning with Foundation Models Mahdi Beitollahi Alex Bie S. Hemati Leo Maxime Brunswic Xu Li Xi Chen Guojun Zhang FedML 109 10 0 02 Feb 2024
Physics Inspired Hybrid Attention for SAR Target Recognition Zhongling Huang Chong Wu Xiwen Yao Zhicheng Zhao Xiankai Huang Junwei Han 58 23 0 27 Sep 2023
Learning to Coordinate with Anyone Lei Yuan Lihe Li Ziqian Zhang F. Chen Tianyi Zhang Cong Guan Yang Yu Zhi Zhou LLMAG 104 5 0 22 Sep 2023
Efficient Methods for Non-stationary Online Learning Peng Zhao Yan-Feng Xie Lijun Zhang Zhi Zhou 122 22 0 16 Sep 2023
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams Yiqun Diao Yutong Yang Yue Liu Bin He Mian Lu 64 3 0 29 Aug 2023
Rethinking the Value of Labels for Instance-Dependent Label Noise Learning Hanwen Deng Weijia Zhang Min-Ling Zhang NoLa 64 0 0 10 May 2023
Fast Teammate Adaptation in the Presence of Sudden Policy Change Ziqian Zhang Lei Yuan Lihe Li Ke Xue Chengxing Jia Cong Guan Chao Qian Yang Yu 89 9 0 10 May 2023
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers Lei Yuan Zifei Zhang Ke Xue Hao Yin F. Chen Cong Guan Lihe Li Chao Qian Yang Yu AAML 88 17 0 10 May 2023
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation Lei Yuan F. Chen Zhongzhan Zhang Yang Yu AAML 100 10 0 09 May 2023
Learnability with Time-Sharing Computational Resource Concerns Zhiwei Zhou 69 7 0 03 May 2023
Towards Unbiased Training in Federated Open-world Semi-supervised Learning Jie Zhang Xiaosong Ma Song Guo Wenchao Xu FedML 110 9 0 01 May 2023
Real-time Safety Assessment of Dynamic Systems in Non-stationary Environments: A Review of Methods and Techniques Zeyi Liu Song Hu Xiao He 74 9 0 25 Apr 2023
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts Rohit Agarwal D. K. Gupta Alexander Horsch Dilip K. Prasad 102 5 0 09 Mar 2023
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System Chao Xue Wen Liu Shunxing Xie Zhenfang Wang Jiaxing Li ... Shi-Yong Chen Yibing Zhan Jing Zhang Chaoyue Wang Dacheng Tao 94 2 0 01 Mar 2023
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness Javier Poyatos Daniel Molina Aitor Martínez Javier Del Ser Francisco Herrera 86 11 0 20 Feb 2023
Universal Online Optimization in Dynamic Environments via Uniclass Prediction Arnold Salas 72 0 0 13 Feb 2023
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation Yu Zhang Zhenyu Zhang Peng Zhao Masashi Sugiyama OOD 83 13 0 06 Feb 2023
Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data Maxime Darrin Pablo Piantanida Pierre Colombo OODD 222 15 0 18 Dec 2022
Learnware: Small Models Do Big Zhi Zhou Zhi-Hao Tan 69 26 0 07 Oct 2022
Dynamic Regret of Online Markov Decision Processes Peng Zhao Longfei Li Zhi Zhou OffRL 99 17 0 26 Aug 2022
LAMDA-SSL: Semi-Supervised Learning in Python Lin-Han Jia Lan-Zhe Guo Zhi Zhou Yu-Feng Li SyDa 67 7 0 09 Aug 2022
Adapting to Online Label Shift with Provable Guarantees Yong Bai Yu Zhang Peng Zhao Masashi Sugiyama Zhi Zhou OOD 91 27 0 05 Jul 2022
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization Peng Zhao Yu Zhang Lijun Zhang Zhi Zhou 110 50 0 29 Dec 2021
Theoretical Exploration of Flexible Transmitter Model Jin-Hui Wu Shao-Qun Zhang Yuan Jiang Zhiping Zhou 63 3 0 11 Nov 2021
Non-stationary Online Learning with Memory and Non-stochastic Control Peng Zhao Yu-Hu Yan Yu Wang Zhi Zhou 77 48 0 07 Feb 2021
Exploratory Machine Learning with Unknown Unknowns Peng Zhao Jia-Wei Shan Yu Zhang Zhi Zhou 67 25 0 05 Feb 2020