3 papers
cs.LG2025
More Than Bits: Multi-Envelope Double Binary Factorization for Extreme Quantization
Yuma Ichikawa, Yoshihiko Fujisawa, Yudai Fujimoto +2
For extreme low-bit quantization of large language models (LLMs), Double Binary Factorization (DBF) is attractive as it enables efficient inference without sacrificing accuracy. Ho…
cs.CR2025
Superpixel Attack: Enhancing Black-box Adversarial Attack with Image-driven Division Areas
Issa Oe, Keiichiro Yamamura, Hiroki Ishikura +2
Deep learning models are used in safety-critical tasks such as automated driving and face recognition. However, small perturbations in the model input can significantly change the…
cs.CV2025
Enhancing Quantum-ready QUBO-based Suppression for Object Detection with Appearance and Confidence Features
Keiichiro Yamamura, Toru Mitsutake, Hiroki Ishikura +3
Quadratic Unconstrained Binary Optimization (QUBO)-based suppression in object detection is known to have superiority to conventional Non-Maximum Suppression (NMS), especially for…