Multi-Metric Client Activation Method for Fast and Accurate Federated Learning by Lim, Jihyun, Zhang, Tuo, Lee, Sunwoo

Transformer Model Embedding Dual Stream for Modulation Classification of Short Signal Samples by Dao, Thien-Thanh, Pham, Quoc-Viet, Huynh-The, Thien, Hwang, Won-Joo

MIA: Masked Inpainting-Based Image Augmentation with Diffusion Models for Enhanced Dermatology Image Classification by Yang, Guohao, Gong, Yanmin, Guo, Yuanxiong

Exploring Large Language Models for Feature Selection: A Data-centric Perspective by Li, Dawei, Tan, Zhen, Liu, Huan

Feature-Enriched Mutual Distillation with Semi-Supervised Contrastive Learning for Electroencephalogram Signal Classification by Xiao, Zhiwen, Wan, Qian

Learning Metric Fields for Fast Low‐Distortion Mesh Parameterizations by Fargion, G., Weber, O.

Scalable and Robust Online Learning for AI-powered Networked Systems by Liu, Xutong

Enhancing Coastal Sea Level Predictions: A Hybrid Approach Combining TimeGAN-Augmented Data, and CNN-GRU Models by Tong, Guanchao, Ma, Wenxuan, Chao, Jiayou, Zhong, Ziqi, Zhang, Minghua, Lin, Wuyin, Zhu, Wei

SpaCE-VAE: Sparse and Confident Explanations usingVariational Autoencoders by Liu, Alexander, Hess, Sibylle

DT-sampler: A SAT-based Decision Tree Ensemble by Xue, Xiaotian, Huang, Chao, Tsuda, Koji, Das, Diptesh

A Self-Supervised Learning Framework for Domain Invariant Early Prediction of Sepsis by Perla, Neeresh Kumar, Qin, Yingzhe, Zhang, Yu Shrike, Shao, Ming

Mirage: Towards Low-Interruption Services on Batch GPU Clusters with Reinforcement Learning by Ding, Qiyang, Zheng, Pengfei, Kudari, Shreyas, Venkataraman, Shivaram, Zhang, Zhao

HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design Space Exploration by Andrew Simon, William, Pale, Una, Teijeiro, Tomas, Atienza, David

Graph Fairness via Authentic Counterfactuals: Tackling Structural and Causal Challenges by Wang, Zichong, Yin, Zhipeng, Zhang, Yuying, Yang, Liping, Zhang, Tingting, Pissinou, Niki, Cai, Yu, Hu, Shu, Li, Yun, Zhao, Liang, Zhang, Wenbin

Adaptive Preferences: Pivoting Through User Complaints by Zhang, Mingyue, Li, Jialong, Li, Nianyu, Kang, Eunsuk, Tei, Kenji

Neural Sequence Transformation by Mukherjee, Sabyasachi, Mukherjee, Sayan, Hua, Binh‐Son, Umetani, Nobuyuki, Meister, Daniel

A replication study: just-in-time defect prediction with ensemble learning by Young, Steven, Abdou, Tamer, Bener, Ayse

Get full text

Test Generation using Reinforcement Learning for Delay-based Side-Channel Analysis by Pan, Zhixin, Sheldon, Jennifer, Mishra, Prabhat

Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via Ensembling Normalization Layers with Shared Weights by Ahmed, Soyed Tuhin, Hefenbrock, Michael, Tahoori, Mehdi B.

Safe, Efficient, and Robust Reinforcement Learning for Ranking and Diffusion Models by Gupta, Shashank