Band-limited Training and Inference for Convolutional Neural Networks

21 November 2019

Papers citing "Band-limited Training and Inference for Convolutional Neural Networks"

8 / 8 papers shown

Title
VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly Detection Paul Boniol Ashwin K. Krishna Marine Bruel Qinghua Liu Mingyi Huang Themis Palpanas Ruey S. Tsay Aaron J. Elmore Michael Franklin John Paparrizos AI4TS 56 0 0 20 Feb 2025
Frequency Regularization: Restricting Information Redundancy of Convolutional Neural Networks Chenqiu Zhao Guanfang Dong Shupei Zhang Zijie Tan Anup Basu 42 1 0 17 Apr 2023
Explicit Use of Fourier Spectrum in Generative Adversarial Networks Soroush Sheikh Gargar GAN OOD 29 0 0 02 Aug 2022
DCT-Former: Efficient Self-Attention with Discrete Cosine Transform Carmelo Scribano Giorgia Franchini M. Prato Marko Bertogna 20 21 0 02 Mar 2022
Machine Learning enabled Spectrum Sharing in Dense LTE-U/Wi-Fi Coexistence Scenarios Adam Dziedzic V. Sathya M. I. Rochman M. Ghosh S. Krishnan 24 19 0 18 Mar 2020
Learning in the Frequency Domain Kai Xu Minghai Qin Fei Sun Yuhao Wang Yen-kuang Chen Fengbo Ren 39 395 0 27 Feb 2020
PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators Zhanhong Tan Jiebo Song Xiaolong Ma S. Tan Hongyang Chen ... Yifu Wu Shaokai Ye Yanzhi Wang Dehui Li Kaisheng Ma 38 24 0 11 Feb 2020
Analysis of Random Perturbations for Robust Convolutional Neural Networks Adam Dziedzic S. Krishnan OOD AAML 26 1 0 08 Feb 2020