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cs.LG2024★ 1 cited
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens
Jaehyeon Kim, Taehong Moon, Keon Lee +1
We introduce ResGen, an efficient Residual Vector Quantization (RVQ)-based generative model for high-fidelity generation with fast sampling. RVQ improves data fidelity by increasin…
cs.LG2023★ 2 cited
Mini-Batch Optimization of Contrastive Loss
Jaewoong Cho, Kartik Sreenivasan, Keon Lee +7
Contrastive learning has gained significant attention as a method for self-supervised learning. The contrastive loss function ensures that embeddings of positive sample pairs (e.g.…