Search Results - "Control methods Deep Learning"

An Efficient and Scalable Approach to Build Co-occurrence Matrix for DNN's Embedding Layer

Authors: Petit, Quentin Li, Chong Emad, Nahid et al.

Contributors: Petit, Quentin Li, Chong Emad, Nahid et al.

Source: Proceedings of the 38th ACM International Conference on Supercomputing. :286-297

Subject Terms: [INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC], [INFO.INFO-DC]Computer Science [cs]/Distributed, Information extraction, Natural language processing, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], Parallel, Distributed computing, Sparse matrix, Computing methodologies → Massively parallel algorithms, and Cluster Computing [cs.DC], Large-scale data analytics, Control methods Deep Learning, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO.INFO-CC] Computer Science [cs]/Computational Complexity [cs.CC], Co-occurrence matrix, Computing methodologies → Massively parallel algorithms Natural language processing Information extraction Control methods Deep Learning, Embedding

File Description: application/pdf

Access URL: https://hal.science/hal-04719623v1
https://hal.science/hal-04719623v1/document
https://doi.org/10.1145/3650200.3656629