LLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical…
Learning to Infer Generative Template Programs for Visual Conceptsby R. Kenny Jones, Siddhartha Chaudhuri, Daniel…
Few-Shot Adversarial Prompt Learning on Vision-Language Modelsby Yiwei Zhou, Xiaobo Xia, Zhiwei Lin, Bo Han,…
A Bag of Tricks for Few-Shot Class-Incremental Learningby Shuvendu Roy, Chunjong Park, Aldi Fahrezi, Ali…
RAR: Retrieving And Ranking Augmented MLLMs for Visual Recognitionby Ziyu Liu, Zeyi Sun, Yuhang Zang,…
Few-shot Learning on Heterogeneous Graphs: Challenges, Progress, and Prospectsby Pengfei Ding, Yan Wang, Guanfeng LiuFirst…
VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learningby Yongshuo Zong, Ondrej Bohdal,…
NTK-Guided Few-Shot Class Incremental Learningby Jingren Liu, Zhong Ji, Yanwei Pang, YunLong YuFirst submitted to…
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEsby Md Ashiqur Rahman, Robert Joseph George,…
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversionby Xiaoyu Wu, Yang Hua,…