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Showing results 1 to 5 of 5

Issue Date	Title / Author(s) / Citation	File
2019-05	MEMORIZATION CAPACITY OF DEEP NEURAL NETWORKS UNDER PARAMETER QUANTIZATION Boo, Yoonho; Shin, Sungho; Sung, Wonyong 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), pp.1383-1387	DOI
2020-02	HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface Shin, Sungho; Park, Jinhwan; Boo, Yoonho; Sung, Wonyong THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, Vol.34, pp.5784-5791	DOI
2020-10	Knowledge Distillation for Optimization of Quantized Deep Neural Networks Shin, Sungho; Boo, Yoonho; Sung, Wonyong 2020 IEEE WORKSHOP ON SIGNAL PROCESSING SYSTEMS (SIPS), pp.111-116	DOI
2020-10	Quantized Neural Networks: Characterization and Holistic Optimization Boo, Yoonho; Shin, Sungho; Sung, Wonyong 2020 IEEE WORKSHOP ON SIGNAL PROCESSING SYSTEMS (SIPS), pp.117-122	DOI
2021-02	Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks Boo, Yoonho; Shin, Sungho; Choi, Jungwook; Sung, Wonyong THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, Vol.35, pp.6794-6802