( en | de | ru )

 

Disambiguation of "Kim, Hyo-Eun"

Author of the publication

copydeleteadd this publication to your clipboard
Transferring Knowledge to Smaller Network with Class-Distance Loss.

, and . ICLR (Workshop), OpenReview.net, (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Eun Kim

Hyo Jung Kim

Jung-Hyo Kim

Jung-Hyo Kim

Keum-Hyo Kim

 

Other publications of authors with the same name

Self-Transfer Learning for Weakly Supervised Lesion Localization., and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 239-246. (2016)LightTrader : World's first AI-enabled High-Frequency Trading Solution with 16 TFLOPS / 64 TOPS Deep Learning Inference Accelerators., , , , , , , , , and 7 other author(s). HCS, page 1-10. IEEE, (2022)All-digital hybrid temperature sensor network for dense thermal monitoring., , , , , and . ISSCC, page 260-261. IEEE, (2013)Photometric Transformer Networks and Label Adjustment for Breast Density Prediction., , and . ICCV Workshops, page 460-466. IEEE, (2019)Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks., and . NeurIPS, page 2563-2572. (2018)Transferring Knowledge to Smaller Network with Class-Distance Loss., and . ICLR (Workshop), OpenReview.net, (2017)SRM: A Style-Based Recalibration Module for Convolutional Neural Networks., , and . ICCV, page 1854-1862. IEEE, (2019)2.4 ATOMUS: A 5nm 32TFLOPS/128TOPS ML System-on-Chip for Latency Critical Applications., , , , , , , , , and 56 other author(s). ISSCC, page 42-44. IEEE, (2024)A 182 mW 94.3 f/s in Full HD Pattern-Matching Based Image Recognition Accelerator for an Embedded Vision System in 0.13-µm CMOS Technology., , and . IEEE Trans. Circuits Syst. Video Techn., 23 (5): 832-845 (2013)Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks., , and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 520-528. Springer, (2018)