Open-environment Machine Learning

1 June 2022

Papers citing "Open-environment Machine Learning"

39 / 39 papers shown

Title
Representation Learning for Tabular Data: A Comprehensive Survey Jun-Peng Jiang Si-Yang Liu Hao-Run Cai Qile Zhou Han-Jia Ye LMTD 38 0 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 55 0 0 22 Mar 2025
Understanding the Limits of Deep Tabular Methods with Temporal Shift Hao-Run Cai Han-Jia Ye AI4TS 35 2 0 27 Feb 2025
Robust Semi-Supervised Learning in Open Environments Lan-Zhe Guo Lin Jia Jie-Jing Shao Yu-Feng Li OffRL 26 2 0 24 Dec 2024
Theoretically Guaranteed Distribution Adaptable Learning Chao Xu Xijia Tang Guoqing Liu Yuhua Qian Chenping Hou OOD 37 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 42 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 26 0 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 27 6 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 41 1 0 19 Aug 2024
Dynamic Against Dynamic: An Open-set Self-learning Framework Haifeng Yang Chuanxing Geng P. Yuen Songcan Chen 21 0 0 27 Apr 2024
Open Continual Feature Selection via Granular-Ball Knowledge Transfer Xuemei Cao Xin Yang Shuyin Xia Guoyin Wang Tianrui Li CLL 11 2 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 66 8 0 02 Feb 2024
Physics Inspired Hybrid Attention for SAR Target Recognition Zhongling Huang Chong Wu Xiwen Yao Zhicheng Zhao Xiankai Huang Junwei Han 16 21 0 27 Sep 2023
Learning to Coordinate with Anyone Lei Yuan Lihe Li Ziqian Zhang F. Chen Tianyi Zhang Cong Guan Yang Yu Zhi-Hua Zhou LLMAG 21 4 0 22 Sep 2023
Efficient Methods for Non-stationary Online Learning Peng Zhao Yan-Feng Xie Lijun Zhang Zhi-Hua Zhou 28 19 0 16 Sep 2023
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams Yiqun Diao Yutong Yang Q. Li Bin He Mian Lu 9 1 0 29 Aug 2023
Rethinking the Value of Labels for Instance-Dependent Label Noise Learning Hanwen Deng Weijia Zhang Min-Ling Zhang NoLa 17 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 17 7 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 19 16 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 37 10 0 09 May 2023
Learnability with Time-Sharing Computational Resource Concerns Zhiwei Zhou 16 7 0 03 May 2023
Towards Unbiased Training in Federated Open-world Semi-supervised Learning Jie M. Zhang Xiaosong Ma Song Guo Wenchao Xu FedML 22 8 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 11 7 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 65 5 0 09 Mar 2023
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System Chao Xue W. Liu Shunxing Xie Zhenfang Wang Jiaxing Li ... Shi-Yong Chen Yibing Zhan Jing Zhang Chaoyue Wang Dacheng Tao 24 1 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 15 10 0 20 Feb 2023
Universal Online Optimization in Dynamic Environments via Uniclass Prediction Arnold Salas 14 0 0 13 Feb 2023
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation Yu-Jie Zhang Zhenyu Zhang Peng Zhao Masashi Sugiyama OOD 12 11 0 06 Feb 2023
Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data Maxime Darrin Pablo Piantanida Pierre Colombo OODD 19 12 0 18 Dec 2022
Learnware: Small Models Do Big Zhi-Hua Zhou Zhi-Hao Tan 19 22 0 07 Oct 2022
Dynamic Regret of Online Markov Decision Processes Peng Zhao Longfei Li Zhi-Hua Zhou OffRL 16 17 0 26 Aug 2022
LAMDA-SSL: Semi-Supervised Learning in Python Lin Jia Lan-Zhe Guo Zhi-Hua Zhou Yu-Feng Li SyDa 16 7 0 09 Aug 2022
Adapting to Online Label Shift with Provable Guarantees Yong Bai Yu-Jie Zhang Peng Zhao Masashi Sugiyama Zhi-Hua Zhou OOD 11 24 0 05 Jul 2022
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization Peng Zhao Yu-Jie Zhang Lijun Zhang Zhi-Hua Zhou 12 45 0 29 Dec 2021
Theoretical Exploration of Flexible Transmitter Model Jin-Hui Wu Shao-Qun Zhang Yuan Jiang Zhiping Zhou 20 3 0 11 Nov 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 52 52 0 28 Sep 2021
Non-stationary Online Learning with Memory and Non-stochastic Control Peng Zhao Yu-Hu Yan Yu-Xiang Wang Zhi-Hua Zhou 14 47 0 07 Feb 2021
Exploratory Machine Learning with Unknown Unknowns Peng Zhao Jia-Wei Shan Yu-Jie Zhang Zhi-Hua Zhou 11 23 0 05 Feb 2020
New Analysis and Algorithm for Learning with Drifting Distributions M. Mohri Andrés Munoz Medina 80 123 0 19 May 2012