Summary of Efficient Training Of Large Vision Models Via Advanced Automated Progressive Learning, by Changlin Li et al.
Efficient Training of Large Vision Models via Advanced Automated Progressive Learningby Changlin Li, Jiawei Zhang,…
Efficient Training of Large Vision Models via Advanced Automated Progressive Learningby Changlin Li, Jiawei Zhang,…
LLMs are One-Shot URL Classifiers and Explainersby Fariza Rashid, Nishavi Ranaweera, Ben Doyle, Suranga SeneviratneFirst…
Autoformalization of Game Descriptions using Large Language Modelsby Agnieszka Mensfelt, Kostas Stathis, Vince TrencsenyiFirst submitted…
Abstracted Gaussian Prototypes for One-Shot Concept Learningby Chelsea Zou, Kenneth J. KurtzFirst submitted to arxiv…
Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuningby Tiansheng Huang, Gautam Bhattacharya,…
AnomalySD: Few-Shot Multi-Class Anomaly Detection with Stable Diffusion Modelby Zhenyu Yan, Qingqing Fang, Wenxi Lv,…
Learning Online Scale Transformation for Talking Head Video Generationby Fa-Ting Hong, Dan XuFirst submitted to…
Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Searchby Kirill Paramonov, Jia-Xing…
ProtoSAM: One-Shot Medical Image Segmentation With Foundational Modelsby Lev Ayzenberg, Raja Giryes, Hayit GreenspanFirst submitted…
Layered Diffusion Model for One-Shot High Resolution Text-to-Image Synthesisby Emaad Khwaja, Abdullah Rashwan, Ting Chen,…