• #ACL2021NLP #ACL2021 Please check our group’s recent publication at the main conference of @aclmeeting. We uncovered a compositional generalization problem existing in NMT models and contributed a new dataset. Contributed by Yafu Li, Yongjing Yin, Yulong Chen, Yue Zhang.

  • Prof Yue Zhang leads the #NLP lab at Westlake University @Westlake_Uni. Our group focuses on machine learning-based natural language processing, as well as application-oriented tasks, such as web information extraction and financial market prediction. Welcome to join us!

  • #NLProc #ACL2021 G-Transformer for Document-level Machine Translation Paper:arxiv.org/abs/2105.14761 Code:github.com/baoguangsheng/ Our @aclmeeting paper at the main conference introduces locality bias to fix the failure of Transformer training on document-level MT data.

标签:manufacturing

Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning

Cross-architecture Tuning of Silicon and SiGe-based Quantum DevicesUsing Machine Learning B. SeverinDepartment of Materials, University of Oxford, Parks Road, Oxford, OX1 3PH, UK&……

Recovering lost and absent information in temporal networks

Recovering lost and absent information in temporal networks James P. BagrowSune Lehmann July 22, 2021 Abstract The full range of activity in a temporal network is captured ……

Anomaly Detection via Self-organizing Map

Anomaly Detection via Self-organizing Map Abstract Anomaly detection plays a key role in industrial manufacturing for product quality control. Traditional methods for anomaly dete……

An End-to-End Differentiable Framework for Contact-Aware Robot Design

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Reinforcement Learning Agent Training with Goals for Real World Tasks

Reinforcement Learning Agent Training with Goals for Real World Tasks Xuan Zhao  Marcos Campos Abstract Reinforcement Learning (RL) is a promising approach for solving……

TEACHING – Trustworthy autonomous cyber-physical applications through human-centred intelligence ††thanks:This research was supported by TEACHING, a project funded by the EU Horizon 2020 research and innovation programme under GA n. 871385

TEACHING – Trustworthy autonomous cyber-physical applications through human-centred intelligence††thanks: This research was supported by TEAC++HING, a project f……

Federated Self-Training for Semi-Supervised Audio Recognition

Federated Self-Training for Semi-Supervised Audio Recognition Vasileios TsouvalasEindhoven University of TechnologyEindhovenThe Netherlands, Aaqib SaeedEindhoven University o……

Anomaly Detection using Edge Computing in Video Surveillance System: Review

Anomaly Detection using Edge Computing in Video Surveillance System: Review Devashree R. PatrikarResearch Scholar, Indian Institute of Information Technology, Nagpur, India. , OR……

NeurIPS 2021 Competition proposal: The MineRL Basalt Competition on Learning from Human Feedback

NeurIPS 2021 C++ompetition proposal: The MineRL Basalt Competition on Learning from Human Feedback Rohin Shah           Cody Wild……

Time-Series Representation Learning via Temporal and Contextual Contrasting

Time-Series Representation Learning via Temporal and Contextual Contrasting Emadeldeen Eldele1  Mohamed Ragab1  Zhenghua Chen2∗  Min Wu21&ems……