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stat.ML2025
High-Dimensional Learning Dynamics of Quantized Models with Straight-Through Estimator
Yuma Ichikawa, Shuhei Kashiwamura, Ayaka Sakata
Quantized neural network training optimizes a discrete, non-differentiable objective. The straight-through estimator (STE) enables backpropagation through surrogate gradients and i…
stat.ML2024★ 1 cited
Effect of Weight Quantization on Learning Models by Typical Case Analysis
Shuhei Kashiwamura, Ayaka Sakata, Masaaki Imaizumi
This paper examines the quantization methods used in large-scale data analysis models and their hyperparameter choices. The recent surge in data analysis scale has significantly in…