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12/09/2022
Genie: Show Me the Data for Quantization
Zero-shot quantization is a promising approach for developing lightweigh...
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05/05/2021
Modulating Regularization Frequency for Efficient Compression-Aware Model Training
While model compression is increasingly important because of large neura...
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05/05/2021
Sequential Encryption of Sparse Neural Networks Toward Optimum Representation of Irregular Sparsity
Even though fine-grained pruning techniques achieve a high compression r...
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05/05/2021
Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization
Various post-training uniform quantization methods have usually been stu...
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09/16/2020
Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation
Transformer is being widely used in Neural Machine Translation (NMT). De...
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09/09/2020
FleXOR: Trainable Fractional Quantization
Quantization based on the binary codes is gaining attention because each...
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05/20/2020