Timely Survey
Timely surveys in various scientific fields analyze the current state-of-the-art in specific areas, aiming to synthesize existing research and identify key trends. Current research focuses on efficient model variants for tasks like image segmentation and 3D vision, leveraging architectures such as diffusion models and large language models (LLMs) to improve performance and address challenges in resource-constrained environments or low-resource languages. These surveys are crucial for guiding future research directions, facilitating the development of more efficient and robust algorithms, and ultimately impacting the practical application of these technologies across diverse domains.
Papers
Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities
Zikai Zhang, Suman Rath, Jiaohao Xu, Tingsong Xiao
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey
Yujia Zhou, Yan Liu, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Zheng Liu, Chaozhuo Li, Zhicheng Dou, Tsung-Yi Ho, Philip S. Yu
Deep Graph Anomaly Detection: A Survey and New Perspectives
Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu Aggarwal, Guansong Pang
A Survey of Out-of-distribution Generalization for Graph Machine Learning from a Causal View
Jing Ma
Causal Inference with Large Language Model: A Survey
Jing Ma
A Survey of Foundation Models for Music Understanding
Wenjun Li, Ying Cai, Ziyang Wu, Wenyi Zhang, Yifan Chen, Rundong Qi, Mengqi Dong, Peigen Chen, Xiao Dong, Fenghao Shi, Lei Guo, Junwei Han, Bao Ge, Tianming Liu, Lin Gan, Tuo Zhang
Agents in Software Engineering: Survey, Landscape, and Vision
Yanxian Huang, Wanjun Zhong, Ensheng Shi, Min Yang, Jiachi Chen, Hui Li, Yuchi Ma, Qianxiang Wang, Zibin Zheng, Yanlin Wang
Recent Trends in Modelling the Continuous Time Series using Deep Learning: A Survey
Mansura Habiba, Barak A. Pearlmutter, Mehrdad Maleki
Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey
Bikram Khanal, Pablo Rivas, Arun Sanjel, Korn Sooksatra, Ernesto Quevedo, Alejandro Rodriguez
A Survey of Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges
Guiliang Liu, Sheng Xu, Shicheng Liu, Ashish Gaurav, Sriram Ganapathi Subramanian, Pascal Poupart
Recent Trends of Multimodal Affective Computing: A Survey from NLP Perspective
Guimin Hu, Yi Xin, Weimin Lyu, Haojian Huang, Chang Sun, Zhihong Zhu, Lin Gui, Ruichu Cai, Erik Cambria, Hasti Seifi
A Survey of Anomaly Detection in In-Vehicle Networks
Övgü Özdemir, M. Tuğberk İşyapar, Pınar Karagöz, Klaus Werner Schmidt, Demet Demir, N. Alpay Karagöz