What is recorded here?
Extended straight-through low-bit network training to separately configurable weight/activation/gradient precision, enabling bit-convolution computations in forward and backward passes.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Inherits BinaryNet/XNOR and STE; retained higher-precision optimization state and special treatment of layers must not be described as entirely binary training.1/2/4-bit example is a tested configuration, not a universal accuracy-preserving setting; hardware potential is not an end-to-end speedup on every device. Source Eq. 1's bitcount shorthand omits the signed-dot-product affine correction; no new exact signed identity certified.
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People and systems
Shuchang Zhou; Zekun Ni; Xinyu Zhou; He Wen; Yuxin Wu; Yuheng Zou
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
DoReFa-Net: low-bit weights, activations and stochastic gradients
Extended straight-through low-bit network training to separately configurable weight/activation/gradient precision, enabling bit-convolution computations in forward and backward passes.
Scientific scope
Inherits BinaryNet/XNOR and STE; retained higher-precision optimization state and special treatment of layers must not be described as entirely binary training.1/2/4-bit example is a tested configuration, not a universal accuracy-preserving setting; hardware potential is not an end-to-end speedup on every device. Source Eq. 1's bitcount shorthand omits the signed-dot-product affine correction; no new exact signed identity certified.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Shuchang Zhou; Zekun Ni; Xinyu Zhou; He Wen; Yuxin Wu; Yuheng Zou
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.