Parallel Computing of Support Vector Machines: A Survey by Tavara, Shirin

Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues by Li, Nan, Ma, Lianbo, Yu, Guo, Xue, Bing, Zhang, Mengjie, Jin, Yaochu

Pivotal Tuning for Latent-based Editing of Real Images by Roich, Daniel, Mokady, Ron, Bermano, Amit H., Cohen-Or, Daniel

Editorial to the “Evolutionary Reinforcement Learning” Special Issue by Gaier, Adam, Paolo, Giuseppe, Cully, Antoine

Session details: Perception and recognition

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A Discriminative Correlation Platform for Feature Representation Learning in Multimodal Information Computing by Gao, Lei, Liu, Kai, Hong, Phuoc-Thanh, Termritthikun, Chakkrit, Luangsawang, Kanin, Wangkeeree, Rabian, Muneesawang, Paisarn, Hnoohom, Narit, Guan, Ling

Understanding Deep Learning Techniques for Image Segmentation by Ghosh, Swarnendu, Das, Nibaran, Das, Ishita, Maulik, Ujjwal

A Leap among Quantum Computing and Quantum Neural Networks: A Survey by Massoli, Fabio Valerio, Vadicamo, Lucia, Amato, Giuseppe, Falchi, Fabrizio

Distribution-Aware Testing of Neural Networks Using Generative Models by Dola, Swaroopa, Dwyer, Matthew B., Soffa, Mary Lou

Bandit Learning-Based Decision-Making for Networked Systems: Constraints, Switching, Delay, and Risk Aversion by Steiger, Juaren

A Clustering Technique for Early Detection of Dominant and Recessive Cross-Cutting Concerns by Duan, Chuan, Cleland-Huang, Jane

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CODEMORPH: Mitigating Data Leakage in Large Language Model Assessment by Rao, Hongzhou, Zhao, Yanjie, Zhu, Wenjie, Xiao, Ling, Wang, Meizhen, Wang, Haoyu

MnnFast: A Fast and Scalable System Architecture for Memory-Augmented Neural Networks by Jang, Hanhwi, Kim, Joonsung, Jo, Jae-Eon, Lee, Jaewon, Kim, Jangwoo

A Review on Multi-Label Learning Algorithms by Zhang, Min-Ling, Zhou, Zhi-Hua

Explainability for Large Language Models: A Survey by Zhao, Haiyan, Chen, Hanjie, Yang, Fan, Liu, Ninghao, Deng, Huiqi, Cai, Hengyi, Wang, Shuaiqiang, Yin, Dawei, Du, Mengnan

The Evolution of Distributed Systems for Graph Neural Networks and Their Origin in Graph Processing and Deep Learning: A Survey by Vatter, Jana, Mayer, Ruben, Jacobsen, Hans-Arno

Deep quantum neural networks on a superconducting processor by Pan, Xiaoxuan, Lu, Zhide, Wang, Weiting, Hua, Ziyue, Xu, Yifang, Li, Weikang, Cai, Weizhou, Li, Xuegang, Wang, Haiyan, Song, Yi-Pu, Zou, Chang-Ling, Deng, Dong-Ling, Sun, Luyan

Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems by Liu, Jinyang, Jiang, Zhihan, Gu, Jiazhen, Huang, Junjie, Chen, Zhuangbin, Feng, Cong, Yang, Zengyin, Yang, Yongqiang, Lyu, Michael R.

Deep Learning for Medical Anomaly Detection – A Survey by Fernando, Tharindu, Gammulle, Harshala, Denman, Simon, Sridharan, Sridha, Fookes, Clinton

NeAT: neural adaptive tomography by Rückert, Darius, Wang, Yuanhao, Li, Rui, Idoughi, Ramzi, Heidrich, Wolfgang