Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features. - Shingo Yashima; Atsushi Nitanda; Taiji Suzuki (AISTATS, 2021)

Multi-task Curriculum Learning based on Gradient Similarity. - Hiroaki Igarashi; Kenichi Yoneji; Kohta Ishikawa; Rei Kawakami; Teppei Suzuki; Shingo Yashima; Ikuro Sato (BMVC, 2022)

Feature Space Particle Inference for Neural Network Ensembles. - Shingo Yashima; Teppei Suzuki; Kohta Ishikawa; Ikuro Sato; Rei Kawakami (ICML, 2022)

Effectiveness of Function Matching in Driving Scene Recognition. - Shingo Yashima (CoRR, 2022)

Pixel-level Contrastive Learning of Driving Videos with Optical Flow. - Tomoya Takahashi; Shingo Yashima; Kohta Ishikawa; Ikuro Sato; Rio Yokota (CVPR Workshops, 2023)

Bit-Pruning: A Sparse Multiplication-Less Dot-Product. - Yusuke Sekikawa; Shingo Yashima (ICLR, 2023)

SAS: Structured Activation Sparsification. - Yusuke Sekikawa; Shingo Yashima (ICLR, 2024)