Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagationby Chengting Yu, Lei Liu,…
Error Diffusion: Post Training Quantization with Block-Scaled Number Formats for Neural Networksby Alireza Khodamoradi, Kristof…
Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphsby Haozhen Zhang, Tao…
Zeroth-Order Fine-Tuning of LLMs in Random Subspacesby Ziming Yu, Pan Zhou, Sike Wang, Jia Li,…
On the Adversarial Transferability of Generalized “Skip Connections”by Yisen Wang, Yichuan Mo, Dongxian Wu, Mingjie…
AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environmentsby Cheng Fang, Sicong Liu, Zimu Zhou,…
Neural Reasoning Networks: Efficient Interpretable Neural Networks With Automatic Textual Explanationsby Stephen Carrow, Kyle Harper…
DCP: Learning Accelerator Dataflow for Neural Network via Propagationby Peng Xu, Wenqi Shao, Mingyu Ding,…
Restructuring Vector Quantization with the Rotation Trickby Christopher Fifty, Ronald G. Junkins, Dennis Duan, Aniketh…
Training-free Diffusion Model Alignment with Sampling Demonsby Po-Hung Yeh, Kuang-Huei Lee, Jun-Cheng ChenFirst submitted to…