Following papers were accepted: S. Gongyo+, “Learning Non-Uniform Step Sizes for Neural Network Quantization” (ACCV2024); M. Tomita+., “A Simple Finetuning Strategy Based on Bias-Variance Ratios of Layer-Wise Gradients” (ACCV2024); T. Kurioka+, “Transferring Teacher’s Invariance to Student Through Data Augmentation Optimization” (ICONIP2024)!
