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20182021
most citedConvergence of a Relaxed Variable Splitting Method for Learning Sparse Neural Networks via , and transformed- Penalties

5 citations · 10 across the 6 of their papers we have counts for

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cs.LG2021★ 5 cited

Quantization-Guided Training for Compact TinyML Models

Sedigh Ghamari, Koray Ozcan, Thu Dinh +4

We propose a Quantization Guided Training (QGT) method to guide DNN training towards optimized low-bit-precision targets and reach extreme compression levels below 8-bit precision.…