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Publication search results
found 50 matches
- 2024
- Ruofan Zhu, Xingyu Wang, Chengwei Liu, Zhengzi Xu, Wenbo Shen, Rui Chang, Yang Liu:
ModuleGuard: Understanding and Detecting Module Conflicts in Python Ecosystem. CoRR abs/2401.02090 (2024) - 2023
- Geng Hong, Mengying Wu, Pei Chen, Xiaojing Liao, Guoyi Ye, Min Yang:
Understanding and Detecting Abused Image Hosting Modules as Malicious Services. CCS 2023: 3213-3227 - Kurt Sandkuhl, Ulf Seigerroth:
Module and interface: Towards a cross-disciplinary understanding based on quantified product design. PoEM Companion 2023 - Xiangyu Zeng, Jie Lin, Piao Hu, Ruizheng Huang, Zhicheng Zhang:
Understanding AI Cognition: A Neural Module for Inference Inspired by Human Memory Mechanisms. CoRR abs/2310.09297 (2023) - 2022
- Zongwei Wu:
Depth Attention for Scene Understanding. (Module d'attention sensible à la profondeur pour l'analyse de scènes). University of Burgundy, Dijon, France, 2022 - Ji Lin, Chuang Gan, Kuan Wang, Song Han:
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Devices. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2760-2774 (2022) - Nick J. C. Wang, Lu Wang, Yandan Sun, Haimei Kang, Dejun Zhang:
Three-Module Modeling For End-to-End Spoken Language Understanding Using Pre-trained DNN-HMM-Based Acoustic-Phonetic Model. CoRR abs/2204.03315 (2022) - Aman Alok, Rahul Gupta, Shankar Ananthakrishnan:
Design Considerations For Hypothesis Rejection Modules In Spoken Language Understanding Systems. CoRR abs/2211.09711 (2022) - 2021
- Guilhem Marcillaud, Valérie Camps, Stéphanie Combettes, Marie-Pierre Gleizes, Elsy Kaddoum:
A Self-adaptive Module for Cross-understanding in Heterogeneous MultiAgent Systems. ICAART (1) 2021: 353-360 - Nick J. C. Wang, Lu Wang, Yandan Sun, Haimei Kang, Dejun Zhang:
Three-Module Modeling For End-to-End Spoken Language Understanding Using Pre-Trained DNN-HMM-Based Acoustic-Phonetic Model. Interspeech 2021: 4718-4722 - Ji Lin, Chuang Gan, Kuan Wang, Song Han:
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Device. CoRR abs/2109.13227 (2021) - 2020
- Aman Alok, Rahul Gupta, Shankar Ananthakrishnan:
Design Considerations for Hypothesis Rejection Modules in Spoken Language Understanding Systems. ICASSP 2020: 8049-8053 - 2019
- Akhil Arunkumar, Evgeny Bolotin, David W. Nellans, Carole-Jean Wu:
Understanding the Future of Energy Efficiency in Multi-Module GPUs. HPCA 2019: 519-532 - Ji Lin, Chuang Gan, Song Han:
TSM: Temporal Shift Module for Efficient Video Understanding. ICCV 2019: 7082-7092 - Ignacio Cases, Clemens Rosenbaum, Matthew Riemer, Atticus Geiger, Tim Klinger, Alex Tamkin, Olivia Li, Sandhini Agarwal, Joshua D. Greene, Dan Jurafsky, Christopher Potts, Lauri Karttunen:
Recursive Routing Networks: Learning to Compose Modules for Language Understanding. NAACL-HLT (1) 2019: 3631-3648 - Kexin Wang, Yu Zhou, Shaonan Wang, Jiajun Zhang, Chengqing Zong:
Understanding Memory Modules on Learning Simple Algorithms. CoRR abs/1907.00820 (2019) - 2018
- Ji Lin, Chuang Gan, Song Han:
Temporal Shift Module for Efficient Video Understanding. CoRR abs/1811.08383 (2018) - 2017
- Dali Wang, Yu Pei, Oscar R. Hernandez, Wei Wu, Zhuo Yao, Youngsung Kim, Michael Wolfe, Ryan Kitchen:
Compiler technologies for understanding legacy scientific code: A case study on an ACME land module. ICCS 2017: 2418-2422 - 2016
- Aymen Trigui, Naim Terbeh, Mohsen Maraoui, Mounir Zrigui:
Statistical Approach for Spontaneous Arabic Speech Understanding Based on Stochastic Speech Recognition Module. Res. Comput. Sci. 117: 143-151 (2016) - Emmanuel Ferreira, Alexandre Reiffers-Masson, Bassam Jabaian, Fabrice Lefèvre:
Optimiser l'adaptation en ligne d'un module de compréhension de la parole avec un algorithme de bandit contre un adversaire (Adversarial bandit for optimising online active learning of spoken language understanding). JEP-TALN-RECITAL (1) 2016: 437-445 - 2015
- Changsu Lee, Youngjoong Ko, Jungyun Seo:
A Simultaneous Recognition Framework for the Spoken Language Understanding Module of Intelligent Personal Assistant Software on Smart Phones. ACL (2) 2015: 818-822 - Ioannis Arapakis, Luis A. Leiva, Berkant Barla Cambazoglu:
Know Your Onions: Understanding the User Experience with the Knowledge Module in Web Search. CIKM 2015: 1695-1698 - Koji Nakata, Joo-Haeng Lee, Joo-Ho Lee:
A camera-projector module based space figure understanding support system. RO-MAN 2015: 77-82 - Patricia Roberts, Sunila Modi, Francois Roubert, Boyka Simeonova, Angelos Stefanidis:
Information Systems Undergraduate Degree Project: Gaining a Better Understanding of the Final Year Project Module. SIGSAND 2015: 145-170 - 2014
- Jinghua Zhang, Mustafa Atay, Emanuel Smith, Elvira R. Caldwell, Elva J. Jones:
Using a game-like module to reinforce student understanding of recursion. FIE 2014: 1-7 - 2013
- Andreas Karatsolis, Mollie Kaufer, Suguru Ishizaki, Stacie Rohrbach, Marsha C. Lovett:
Understanding the relationship between rhetorically-based learning modules and communication skills improvement in a global technical writing course. IPCC 2013: 1-6 - Catarina Moreira, Ana Cristina Mendes, Luísa Coheur, Bruno Martins:
Towards the Rapid Development of a Natural Language Understanding Module. CoRR abs/1302.1380 (2013) - 2012
- Lu Xiao:
Exploring the use of contextual modules for understanding and supporting collaborative learning activities: An empirical study. Comput. Sci. Inf. Syst. 9(2): 961-981 (2012) - Tannu Gupta, A. Sudha Madhuri, Prachi Prachi, M. Jaleel Akhtar, K. Vaibhav Srivastava:
Development of the Virtual Lab Module for Understanding the Concepts of Electric and Magnetic Field Patterns in Rectangular Waveguides and Cavities. Int. J. Online Eng. 8(3): 12-21 (2012) - 2011
- Dong-Yuel Choi, Eunyoung Ahn, Jaewon Kim:
Understanding and Implementation of the Digital Design Modules for HANOK. FGIT-MulGraB (1) 2011: 127-134
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