( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
η-LSTM: Co-Designing Highly-Efficient Large LSTM Training via Exploiting Memory-Saving and Architectural Design Opportunities.

, , , , , , и . ISCA, стр. 567-580. IEEE, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Zhang Zhang

Meng Zhang

Methods and implementations of road-network matching. TU München, (2009)

Shuying Zhang

Chengdian Zhang

Hong Zhang

 

Другие публикации лиц с тем же именем

Knowledge Enhanced Fact Checking and Verification., , , и . IEEE ACM Trans. Audio Speech Lang. Process., (2021)Characterizing, modeling, and improving the QoE of mobile devices with low battery level., , и . MICRO, стр. 713-724. ACM, (2015)Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving., , , , , и . MICRO, стр. 885-897. ACM, (2021)Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency., , , , , и . EMNLP (Findings), стр. 7480-7492. Association for Computational Linguistics, (2023)Class Imbalance Data-Generation for Software Defect Prediction., , , и . APSEC, стр. 276-283. IEEE, (2019)DeepEnroll: Patient-Trial Matching with Deep Embedding and Entailment Prediction., , , и . CoRR, (2020)Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency., , , , , , и . CoRR, (2023)Grounding Language Models for Visual Entity Recognition., , , , , и . CoRR, (2024)A Static Model of a Notched Continuum Robot with Non-Constant Curvature for Minimally Invasive Surgery: Base on Taylor Expansion Approach., , , , , и . ICARM, стр. 1006-1010. IEEE, (2023)Randomness in Neural Network Training: Characterizing the Impact of Tooling., , , и . MLSys, mlsys.org, (2022)