[백준] 10448 : 유레카 이론 (Python)
백준
최근 포스트
[Review] Non-Uniform Step Size Quantization for Accurate Post-Training Quantization, ECCV, 2022
Non-uniform quantization
[Review] SQWA: Stochastic QuantizedWeight Averaging for Improving the Generalization Capability of Low-Precision Deep Neural Networks, ICASSP, 2021
Stocahstic Weight Averaging
[Review] Averaging Weights Leads to Wider Optima and Better Generalization, IJAI, 2018
Stocahstic Weight Averaging
[Review] Successive Log Quantization for Cost-Efficient Neural Networks Using Stochastic Computing, DAC, 2019
Successiv Log Quantization
[Review] FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference, DAC, 2019
Successiv Log Quantization
[Review] ADDITIVE POWERS-OF-TWO QUANTIZATION: AN EFFICIENT NON-UNIFORM DISCRETIZATION FOR NEURAL NETWORKS, ICLR, 2020
Non-uniform base-2 logarithmic quantization
[Review] INCREMENTAL NETWORK QUANTIZATION: TOWARDS LOSSLESS CNNS WITH LOW-PRECISION WEIGHTS, ICLR, 2017
Non-uniform base-2 logarithmic quantization
[Review] Convolutional Neural Networks using Logarithmic Data Representation, arxiv, 2016
Non-uniform base-2 logarithmic quantization