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Results 1-5 of 5 (Search time: 0.004 seconds).

NO Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date)
1
FlexBlock: A Flexible DNN Training Accelerator With Multi-Mode Block Floating Point Support

Noh, Seock-Hwan; Koo, Jahyun; Lee, Seunghyun; Park, Jongse; Kung, Jaeha, IEEE TRANSACTIONS ON COMPUTERS, v.72, no.9, pp.2522 - 2535, 2023-09

2
Prior depth-based multi-view stereo network for online 3D model reconstruction

Song, Soohwan; Khang, Truong Giang; Kim, Daekyum; Jo, Sung-Ho, PATTERN RECOGNITION, v.136, 2023-04

3
Learning From Noisy Labels With Deep Neural Networks: A Survey

Song, Hwanjun; Kim, Minseok; Park, Dongmin; Shin, Yooju; Lee, Jae-Gil, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, v.34, no.11, pp.8135 - 8153, 2023-11

4
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective

Whang, Steven Euijong; Roh, Yuji; Song, Hwanjun; Lee, Jae-Gil, VLDB JOURNAL, v.32, no.4, pp.791 - 813, 2023-07

5
Multi-resolution distillation for self-supervised monocular depth estimation

Lee, Sebin; Im, Woobin; Yoon, Sung-Eui, PATTERN RECOGNITION LETTERS, v.176, pp.215 - 222, 2023-12

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