On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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2 results for “HW-aware”

Generative Design of Hardware-aware DNNscs.LG

Generative model for HW-aware DNN quantization.

problem Efficiently tuning DNNs for various hardware platforms.

method Generative model AQGAN for generating quantization configurations based on target accuracy.

result Generative model generates quantization configurations with competitive accuracy and lower search cost.

DNN quantization HW-aware Generative model Reinforcement Learning ImageNet

2020-06-06abs ↗pdf ↗

QFT: Post-training quantization via fast joint finetuning of all degrees of freedomstat.ML

Unified finetuning of all quantization degrees of freedom achieves state-of-the-art 4-bit quantization.

problem Achieving high accuracy in quantized neural networks while maintaining speed and resource constraints.

method Quantization-aware finetuning (QFT) that jointly optimizes all quantization degrees of freedom.

result 4-bit weight quantization results on-par with state-of-the-art (SoTA) within PTQ constraints.

quantization finetuning degrees of freedom 4-bit state-of-the-art

2022-12-05abs ↗pdf ↗