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Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation [article]

Zhipeng Huang, Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Peng Chu, Quanzeng You, Jiang Wang, Zicheng Liu, Zheng-jun Zha
2022 arXiv   pre-print
Unsupervised domain adaptive person re-identification (ReID) has been extensively investigated to mitigate the adverse effects of domain gaps.  ...  In this paper, to address more practical scenarios, we propose a new task, Lifelong Unsupervised Domain Adaptive (LUDA) person ReID.  ...  Our contributions can be summarized in three aspects: Related Works Domain Adaptive Person Re-identification Person re-identification (ReID) has been widely investigated and applied in many real-world  ... 
arXiv:2112.06632v2 fatcat:sninsegzbjhkrcw6vmmr22mxaq

Generalizing to Unseen Domains: A Survey on Domain Generalization [article]

Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin, Wang Lu, Yiqiang Chen, Wenjun Zeng, Philip S. Yu
2022 arXiv   pre-print
Domain generalization deals with a challenging setting where one or several different but related domain(s) are given, and the goal is to learn a model that can generalize to an unseen test domain.  ...  First, we provide a formal definition of domain generalization and discuss several related fields.  ...  Some other works used public datasets or RandPerson [250] for person re-identification [187, 251, 70] .  ... 
arXiv:2103.03097v7 fatcat:ry4ggjl63bhlzdhg3gojvyk2v4

Deep Learning in Mobile and Wireless Networking: A Survey [article]

Chaoyun Zhang, Paul Patras, Hamed Haddadi
2019 arXiv   pre-print
We first briefly introduce essential background and state-of-the-art in deep learning techniques with potential applications to networking.  ...  Subsequently, we provide an encyclopedic review of mobile and wireless networking research based on deep learning, which we categorize by different domains.  ...  This enables lifelong lookup and forgetting of knowledge from external sources, as humans do. Parisi et al. consider a different lifelong learning scenario in [548] .  ... 
arXiv:1803.04311v3 fatcat:awuvyviarvbr5kd5ilqndpfsde

Deep Learning in Mobile and Wireless Networking: A Survey

Chaoyun Zhang, Paul Patras, Hamed Haddadi
2019 IEEE Communications Surveys and Tutorials  
We first briefly introduce essential background and state-of-theart in deep learning techniques with potential applications to networking.  ...  Subsequently, we provide an encyclopedic review of mobile and wireless networking research based on deep learning, which we categorize by different domains.  ...  This enables lifelong lookup and forgetting of knowledge from external sources, as humans do. Parisi et al. consider a different lifelong learning scenario in [553] .  ... 
doi:10.1109/comst.2019.2904897 fatcat:xmmrndjbsfdetpa5ef5e3v4xda

Table of Contents

2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
Aleš Leonardis (School of Computer Science, University of Birmingham) Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting 4242 Dongnan Liu (School  ...  Fan Chen (Columbia University) Unsupervised Person Re-Identification via Softened Similarity Learning 3387 Yutian Lin (Hangzhou Dianzi University), Lingxi Xie (Huawei Inc.), Yu Wu (Baidu Research  ... 
doi:10.1109/cvpr42600.2020.00004 fatcat:c7els2kee5cq7lh6cemeqhdcoa

Basque Conference on Cyber Physical Systems and Artificial Intelligence [article]

Manuel Graña
2022 Zenodo  
Besides, some video presentations and slides are included with the permission of the authors.  ...  This publication contains the proceedings of the Basque Conference on Cyber Physical Systems and Artificial Intelligence held in San Sebastian, Spain in May 18-19, 2022.  ...  This work was supported in part by the Civil Program UAVs Initiative, promoted by the Xunta de Galicia and developed in partnership with the Babcock company.  ... 
doi:10.5281/zenodo.6558965 fatcat:vmrdhbmtwzf6diusv4mqdsgnsa

Basque Conference on Cyber Physical Systems and Artificial Intelligence

Manuel Graña
2022 Zenodo  
This entry contains the proceedings of the Basque Conference on Cyber Physical Systems and Artificial Intelligence  ...  This work was supported in part by the Civil Program UAVs Initiative, promoted by the Xunta de Galicia and developed in partnership with the Babcock company.  ...  Acknowledgements I would like to thank all my collaborators in the last two decades who took the journey with me. I am so grateful for that.  ... 
doi:10.5281/zenodo.6568145 fatcat:lbwc7clohbeybmmdjhdlalxziu

Basque Conference on Cyber Physical Systems and Artificial Intelligence

Manuel Graña
2022 Zenodo  
This entry contains the proceedings of the Basque Conference on Cyber Physical Systems and Artificial Intelligence  ...  This work was supported in part by the Civil Program UAVs Initiative, promoted by the Xunta de Galicia and developed in partnership with the Babcock company.  ...  Acknowledgements I would like to thank all my collaborators in the last two decades who took the journey with me. I am so grateful for that.  ... 
doi:10.5281/zenodo.6574965 fatcat:wclgcwfeuvglhnenzq7uvie5by

2019 Index IEEE Robotics and Automation Letters Vol. 4

2019 IEEE Robotics and Automation Letters  
Framework for Adaptation of Training Task, Assistance and Feedback for Optimizing Motor (Re)-Learning With a Robotic Exoskeleton.  ...  ., +, Framework for Adaptation of Training Task, Assistance and Feedback for Optimizing Motor (Re)-Learning With a Robotic Exoskeleton.  ...  Permanent magnets Adaptive Dynamic Control for Magnetically Actuated Medical Robots.  ... 
doi:10.1109/lra.2019.2955867 fatcat:ckastwefh5chhamsravandtnx4

Deep Reinforcement Learning [article]

Yuxi Li
2018 arXiv   pre-print
Then we discuss important mechanisms for RL, including attention and memory, unsupervised learning, hierarchical RL, multi-agent RL, relational RL, and learning to learn.  ...  Finally we summarize briefly, discuss challenges and opportunities, and close with an epilogue.  ...  The authors present an implementation with centralized training for decentralized execution, as discussed below. The authors experiment with grid world coordination, a partially observable game,  ... 
arXiv:1810.06339v1 fatcat:kp7atz5pdbeqta352e6b3nmuhy

MARVEL - D3.1: Multimodal and privacy-aware audio-visual intelligence – initial version

Alexandros Iosifidis
2022 Zenodo  
as methodologies for improving the training and efficiency of AI models under supervised, unsupervised, and cross-modal contrastive learning settings.  ...  This document describes the initial version of the methodologies pro- posed by MARVEL partners towards the realisation of the Audio, Visual and Multimodal AI Subsystem of the MARVEL architecture.  ...  Such scalability features allow for extreme model compression and optimisation, while decoupling parameter count and computational cost in alignment with the harware-aware scaling paradigm.  ... 
doi:10.5281/zenodo.6821317 fatcat:eia7rkk5lfbg7khs3qcat5qd3m

Cost-to-Go Function Approximation [chapter]

2017 Encyclopedia of Machine Learning and Data Mining  
It maintains a set, S , of most specific hypotheses that are consistent with the training data and a set, G, of most general hypotheses consistent with the training data.  ...  In the following, we will assume a two-class problem with a positive and a negative class. The COVERING algorithm starts with an empty theory.  ...  Adaptations to the multi-class case are typically performed via class binarization, learning different rule sets for binary problems.  ... 
doi:10.1007/978-1-4899-7687-1_100093 fatcat:vse7ncdqs5atlosjhz7fhlj3im

Let the social sciences evolve

Paul E. Smaldino, Timothy M. Waring
2014 Behavioral and Brain Sciences  
All species have evolved mechanisms of phenotypic plasticity that enable them to respond adaptively to their environments.  ...  Humans possess great capacity for behavioral and cultural change, but our ability to manage change is still limited.  ...  This cluster is associated with greater personal well-being and is beneficial to the group.  ... 
doi:10.1017/s0140525x13003282 pmid:25162883 fatcat:sf4tzfr4dzavljhe7v5fi7b64q

Evolving the future: Toward a science of intentional change

David Sloan Wilson, Steven C. Hayes, Anthony Biglan, Dennis D. Embry
2014 Behavioral and Brain Sciences  
All species have evolved mechanisms of phenotypic plasticity that enable them to respond adaptively to their environments.  ...  Humans possess great capacity for behavioral and cultural change, but our ability to manage change is still limited.  ...  This cluster is associated with greater personal well-being and is beneficial to the group.  ... 
doi:10.1017/s0140525x13001593 pmid:24826907 pmcid:PMC4331065 fatcat:r7dwdh7v3rdf7oid2phhhmf3we

Deep Neural Mobile Networking [article]

Chaoyun Zhang
2020 arXiv   pre-print
This makes monitoring and managing the multitude of network elements intractable with existing tools and impractical for traditional machine learning algorithms that rely on hand-crafted feature engineering  ...  The performance of artificial intelligence (AI) has achieved in other domains draws unprecedented interest from both academia and industry in employing deep learning approaches to address technical challenges  ...  This enables lifelong lookup and forgetting of knowledge from external sources, as humans do. Parisi et al. consider a different lifelong learning scenario in [186] .  ... 
arXiv:2011.05267v1 fatcat:yz2zp5hplzfy7h5kptmho7mbhe
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