Summary of Towards Low-energy Adaptive Personalization For Resource-constrained Devices, by Yushan Huang et al.
Towards Low-Energy Adaptive Personalization for Resource-Constrained Devicesby Yushan Huang, Josh Millar, Yuxuan Long, Yuchen Zhao,…
Summary of Using Super-resolution Imaging For Recognition Of Low-resolution Blurred License Plates: a Comparative Study Of Real-esrgan, A-esrgan, and Starsrgan, by Ching-hsiang Wang
Using Super-Resolution Imaging for Recognition of Low-Resolution Blurred License Plates: A Comparative Study of Real-ESRGAN,…
Summary of Ec-iou: Orienting Safety For Object Detectors Via Ego-centric Intersection-over-union, by Brian Hsuan-cheng Liao et al.
EC-IoU: Orienting Safety for Object Detectors via Ego-Centric Intersection-over-Unionby Brian Hsuan-Cheng Liao, Chih-Hong Cheng, Hasan…
Summary of A Three-phases Sft Hybrid Model Integrated Strong Prior Module and Data Overlap Estimation in the Eduation Context, by Zhangquan Chen et al.
A Three-Phases SFT Hybrid Model Integrated Strong Prior Module and Data Overlap Estimation in the…
Summary of Improving Sampling Methods For Fine-tuning Sentencebert in Text Streams, by Cristiano Mesquita Garcia et al.
Improving Sampling Methods for Fine-tuning SentenceBERT in Text Streamsby Cristiano Mesquita Garcia, Alessandro Lameiras Koerich,…
Summary of A Single Linear Layer Yields Task-adapted Low-rank Matrices, by Hwichan Kim et al.
A Single Linear Layer Yields Task-Adapted Low-Rank Matricesby Hwichan Kim, Shota Sasaki, Sho Hoshino, Ukyo…
Summary of Knowla: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation, by Xindi Luo and Zequn Sun and Jing Zhao and Zhe Zhao and Wei Hu
KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptationby Xindi Luo, Zequn Sun, Jing Zhao, Zhe Zhao,…
Summary of Auto-train-once: Controller Network Guided Automatic Network Pruning From Scratch, by Xidong Wu et al.
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratchby Xidong Wu, Shangqian Gao, Zeyu Zhang,…
Summary of Multi-agent Vqa: Exploring Multi-agent Foundation Models in Zero-shot Visual Question Answering, by Bowen Jiang et al.
Multi-Agent VQA: Exploring Multi-Agent Foundation Models in Zero-Shot Visual Question Answeringby Bowen Jiang, Zhijun Zhuang,…
Summary of The Opportunities and Risks Of Large Language Models in Mental Health, by Hannah R. Lawrence et al.
The opportunities and risks of large language models in mental healthby Hannah R. Lawrence, Renee…