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Hwijoon Lim

2 accepted papers

2024

Scaling Beyond the GPU Memory Limit for Large Mixture-of-Experts Model Training

ICML 2024poster

Mixture-of-Experts (MoE) is a powerful technique for enhancing the performance of neural networks while decoupling computational complexity from the number of parameters. However, despite this, scaling the number of experts requires adding more GPUs. In addition, the load imbalance in token load acr…

Cited by 2SourcePDFScholar
2022

TSPipe: Learn from Teacher Faster with Pipelines

ICML 2022spotlight

The teacher-student (TS) framework, training a (student) network by utilizing an auxiliary superior (teacher) network, has been adopted as a popular training paradigm in many machine learning schemes, since the seminal work—Knowledge distillation (KD) for model compression and transfer learning. Man…

Cited by 1SourcePDFScholar