• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 13 matches

• 2024
• 
  Andersson A. Silva, Ricardo M. A. Silva:
  An Approach Using BRKGA for Optimizing Convolutional Neural Network Architectures. IJCNN 2024: 1-8
• 
  Luis Balderas, Miguel Lastra, José Manuel Benítez:
  Optimizing Convolutional Neural Network Architecture. CoRR abs/2401.01361 (2024)
• 
  Changwon Lee, Israel F. Araujo, Dongha Kim, Junghan Lee, Siheon Park, Ju-Young Ryu, Daniel K. Park:
  Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension. CoRR abs/2403.19099 (2024)
• 2023
• 
  D. Elhani, Ahmed Chaouki Megherbi, Athmane Zitouni, Fadi Dornaika, Salim Sbaa, A. Taleb-Ahmed:
  Optimizing convolutional neural networks architecture using a modified particle swarm optimization for image classification. Expert Syst. Appl. 229(Part A): 120411 (2023)
• 
  Weifei Hu, Jinyi Shao, Qing Jiao, Chuxuan Wang, Jin Cheng, Zhenyu Liu, Jianrong Tan:
  A new differentiable architecture search method for optimizing convolutional neural networks in the digital twin of intelligent robotic grasping. J. Intell. Manuf. 34(7): 2943-2961 (2023)
• 
  Andersson A. Da Silva, Ricardo M. A. Silva, Amanda S. Xavier, Thiago Dias Bispo, Geraldo R. Mateus, Mauricio G. C. Resende:
  cudaBRKGA-CNN: An Approach for Optimizing Convolutional Neural Network Architectures. CEC 2023: 1-8
• 2021
• 
  Mats L. Richter, Julius Schöning, Anna Wiedenroth, Ulf Krumnack:
  Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training. ICMLA 2021: 964-971
• 
  Mats L. Richter, Julius Schöning, Ulf Krumnack:
  Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training by Receptive Field Analysis. CoRR abs/2106.12307 (2021)
• 2020
• 
  Xiaochen Peng, Rui Liu, Shimeng Yu:
  Optimizing Weight Mapping and Data Flow for Convolutional Neural Networks on Processing-in-Memory Architectures. IEEE Trans. Circuits Syst. I Fundam. Theory Appl. 67-I(4): 1333-1343 (2020)
• 
  Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding:
  Optimizing Convolutional Neural Network Architecture via Information Field. CoRR abs/2009.05236 (2020)
• 2019
• 
  Junning Jiang, Liang Cai, Feng Dong, Kehua Yu, Ke Chen, Wei Qu, Jianfei Jiang:
  Deploying and Optimizing Convolutional Neural Networks on Heterogeneous Architecture. ASICON 2019: 1-4
• 
  Yin-Fu Huang, Jung-Sheng Liu:
  Optimizing Convolutional Neural Network Architecture Using a Self-adaptive Harmony Search Algorithm. ICNC-FSKD 2019: 3-12
• 
  Xiaochen Peng, Rui Liu, Shimeng Yu:
  Optimizing Weight Mapping and Data Flow for Convolutional Neural Networks on RRAM Based Processing-In-Memory Architecture. ISCAS 2019: 1-5