Jongsoo Park — accepted AI-conference papers

2024

Wukong: Towards a Scaling Law for Large-Scale Recommendation

Buyun Zhang, Liang Luo, Yuxin Chen, Jade Nie, Xi Liu, Shen Li +7

ICML 2024poster

Scaling laws play an instrumental role in the sustainable improvement in model quality. Unfortunately, recommendation models to date do not exhibit such laws similar to those observed in the domain of large language models, due to the inefficiencies of their upscaling mechanisms. This limitation pos…

Cited by 21 Source ↗PDF ↗Scholar ↗

2017

Faster CNNs with Direct Sparse Convolutions and Guided Pruning

Jongsoo Park, Sheng Li, Wei Wen, Ping Tak Peter Tang, Hai Li, Yiran Chen +1

ICLR 2017poster

Phenomenally successful in practical inference problems, convolutional neural networks (CNN) are widely deployed in mobile devices, data centers, and even supercomputers. The number of parameters needed in CNNs, however, are often large and undesirable. Consequently, various methods have been develo…

Cited by 307 Source ↗code ↗Scholar ↗