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Found 5 papers, 0 papers with code
How to Parameterize Asymmetric Quantization Ranges for Quantization-Aware Training
This paper investigates three different parameterizations of asymmetric uniform quantization for quantization-aware training: (1) scale and offset, (2) minimum and maximum, and (3) beta and gamma.
Quadapter: Adapter for GPT-2 Quantization
In that case, it is observed that quantization-aware training overfits the model to the fine-tuning data.
KoDF: A Large-scale Korean DeepFake Detection Dataset
A variety of effective face-swap and face-reenactment methods have been publicized in recent years, democratizing the face synthesis technology to a great extent.
GAN Vocoder: Multi-Resolution Discriminator Is All You Need
Several of the latest GAN-based vocoders show remarkable achievements, outperforming autoregressive and flow-based competitors in both qualitative and quantitative measures while synthesizing orders of magnitude faster.
Axial Residual Networks for CycleGAN-based Voice Conversion
We propose a novel architecture and improved training objectives for non-parallel voice conversion.
