← Search

Qishi Dong

2 accepted papers

2023

DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization

AAAI 2023technical

Deep generative models have demonstrated superior performance in lossless compression on identically distributed data. However, in real-world scenarios, data to be compressed are of various distributions and usually cannot be known in advance. Thus, commercially expected neural compression must have…

Cited by 1SourcePDFScholar
2022

ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization

NeurIPS 2022accept

Recent advances on large-scale pre-training have shown great potentials of leveraging a large set of Pre-Trained Models (PTMs) for improving Out-of-Distribution (OoD) generalization, for which the goal is to perform well on possible unseen domains after fine-tuning on multiple training domains. Howe…

Cited by 19SourcePDFScholar