… This paper revisits the classical bitwidth optimization problem for fixed-point designs. …
optimization problem to optimize the area costs. In the formulation, we also allow different bitwidths …

… , following simulation-based word-length optimization methods from signal processing [28].
[… that seeks the optimal bit-width allocations across network layers by optimizing signal-to…

… optimization strategy to progressively find good local minima. Specifically, we propose to first
optimize a … In this section, we will first revisit the quantization function in the neural network …

… directly optimizing the target bit network, we design a self-adapted shrinking scheduler for the
bit-width in continuous domain from high bit-width … For convenience, we revisit the uniform …

… Previous work on quantization [7,13,49] has demonstrated that clustering is a reliable
direction for quantization of arbitrary bit-width, so we also adopt a clustering-based quantization …

… The concept of inertia enables us to better understand what happens during the optimization
of BNNs. Below we review some key aspects of the optimization procedure from the …

… This paper revisits the classical bitwidth optimization problem for fixed-point designs. …
optimization problem to optimize the area costs. In the formulation, we also allow different bitwidths …

… The former searches for an optimal quantization policy by trial and error, while the latter
trains a super net to directly optimize the bitwidth by relaxing the discrete search space to be …

… We extend the current state by proposing to explicitly optimize hyperparameters of attribution
methods for the task of pruning, and further include transformer-based networks in our …

… form configuration, where the block size and bitwidth remain constant across the entire model.
… and the bit-width granularity to the tensor level to demonstrate uncharted possibilities of …