Koike-Akino, Toshiaki

17 publications

AAAI 2025 Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage Md. Rafi Ur Rashid, Jing Liu, Toshiaki Koike-Akino, Ye Wang, Shagufta Mehnaz

ICLR 2025 Quantum-PEFT: Ultra Parameter-Efficient Fine-Tuning Toshiaki Koike-Akino, Francesco Tonin, Yongtao Wu, Frank Zhengqing Wu, Leyla Naz Candogan, Volkan Cevher

ICMLW 2024 Efficient Differentially Private Fine-Tuning of Diffusion Models Jing Liu, Andrew Lowy, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang

NeurIPSW 2024 FV-NeRV: Neural Compression for Free Viewpoint Videos Takuya Fujihashi, Sorachi Kato, Toshiaki Koike-Akino

NeurIPSW 2024 Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage Md Rafi Ur Rashid, Jing Liu, Toshiaki Koike-Akino, Shagufta Mehnaz, Ye Wang

NeurIPSW 2024 GPT Sonograpy: Hand Gesture Decoding from Forearm Ultrasound Images via VLM Keshav Bimbraw, Ye Wang, Jing Liu, Toshiaki Koike-Akino

ICMLW 2024 Hardware-Efficient Quantization for Green Custom Foundation Models Toshiaki Koike-Akino, Chang Meng, Volkan Cevher, Giovanni De Micheli

NeurIPSW 2024 Probabilistic Forecasting for Building Energy Systems: Are Time-Series Foundation Models the Answer? Young-Jin Park, François Germain, Jing Liu, Ye Wang, Gordon Wichern, Toshiaki Koike-Akino, Navid Azizan, Christopher R. Laughman, Ankush Chakrabarty

ICMLW 2024 Quantum-PEFT: Ultra Parameter-Efficient Fine-Tuning Toshiaki Koike-Akino, Francesco Tonin, Yongtao Wu, Leyla Naz Candogan, Volkan Cevher

NeurIPSW 2024 Slaying the HyDRA: Parameter-Efficient Hyper Networks with Low-Displacement Rank Adaptation Xiangyu Chen, Ye Wang, Matthew Brand, Pu Perry Wang, Jing Liu, Toshiaki Koike-Akino

NeurIPSW 2024 Smoothed Embeddings for Robust Language Models Ryo Hase, Md Rafi Ur Rashid, Ashley Lewis, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang

CVPRW 2024 SuperLoRA: Parameter-Efficient Unified Adaptation for Large Vision Models Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand, Guanghui Wang, Toshiaki Koike-Akino

CVPR 2024 TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models Haomiao Ni, Bernhard Egger, Suhas Lohit, Anoop Cherian, Ye Wang, Toshiaki Koike-Akino, Sharon X. Huang, Tim K. Marks

NeurIPSW 2023 Exploring User-Level Gradient Inversion with a Diffusion Prior Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Bradley A. Malin, Kieran Parsons, Ye Wang

ICCV 2023 Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis Nithin Gopalakrishnan Nair, Anoop Cherian, Suhas Lohit, Ye Wang, Toshiaki Koike-Akino, Vishal M. Patel, Tim K. Marks

IJCAI 2022 Adversarial Bi-Regressor Network for Domain Adaptive Regression Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding

NeurIPSW 2022 Learning with Noisy Labels Using Low-Dimensional Model Trajectory Vasu Singla, Shuchin Aeron, Toshiaki Koike-Akino, Kieran Parsons, Matthew Brand, Ye Wang