4 papers
SEDD: Scalable and Efficient Dataset Deduplication with GPUs
Youngjun Son, Chaewon Kim, Jaejin Lee
Dataset deduplication is widely recognized as a crucial preprocessing step that enhances data quality and improves the performance of large language models. A commonly used method…
HetCCL: Accelerating LLM Training with Heterogeneous GPUs
Heehoon Kim, Jaehwan Lee, Taejeoung Kim +6
The rapid growth of large language models is driving organizations to expand their GPU clusters, often with GPUs from multiple vendors. However, current deep learning frameworks la…
UDC-VIT: A Real-World Video Dataset for Under-Display Cameras
Kyusu Ahn, JiSoo Kim, Sangik Lee +4
Even though an Under-Display Camera (UDC) is an advanced imaging system, the display panel significantly degrades captured images or videos, introducing low transmittance, blur, no…
Integrating Spatial and Frequency Information for Under-Display Camera Image Restoration
Kyusu Ahn, Jinpyo Kim, Chanwoo Park +2
Under-Display Camera (UDC) houses a digital camera lens under a display panel. However, UDC introduces complex degradations such as noise, blur, decrease in transmittance, and flar…