Search Results for author: Joon-Sung Yang

Found 2 papers, 0 papers with code

Boosting Semi-Supervised Learning by bridging high and low-confidence predictions

no code implementations15 Aug 2023 Khanh-Binh Nguyen, Joon-Sung Yang

Pseudo-labeling is a crucial technique in semi-supervised learning (SSL), where artificial labels are generated for unlabeled data by a trained model, allowing for the simultaneous training of labeled and unlabeled data in a supervised setting.

CRAFT: Criticality-Aware Fault-Tolerance Enhancement Techniques for Emerging Memories-Based Deep Neural Networks

no code implementations8 Feb 2023 Thai-Hoang Nguyen, Muhammad Imran, Jaehyuk Choi, Joon-Sung Yang

A stuck-at cell can be read but not reprogrammed, thus, stuck-at faults in NVMs may or may not result in errors depending on the data to be stored.

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