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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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0111 · Dec 202419922001200920172026
1 result for “sub-6-bit”
DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activationscs.LG

DQA efficiently quantizes deep neural network activations for resource-constrained devices.

problem Efficiently quantizing deep neural network activations for resource-constrained devices.
method DQA uses simple shifting-based operations and Huffman coding for sub-6-bit quantization.
result DQA achieves significantly better accuracy than direct quantization and state-of-the-art methods.
quantizationdeep neural networksresource-constrained devicessub-6-bitaccuracy
2024-12-12abs ↗pdf ↗