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Found 3 papers, 2 papers with code
QNCD: Quantization Noise Correction for Diffusion Models
Diffusion models have revolutionized image synthesis, setting new benchmarks in quality and creativity.
Robustness-Guided Image Synthesis for Data-Free Quantization
Quantization has emerged as a promising direction for model compression.
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning
Recent work shows that the long-tailed learning performance could be boosted by sampling extra in-domain (ID) data for self-supervised training, however, large-scale ID data which can rebalance the minority classes are expensive to collect.
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