Papers
Robust Heterophilic Graph Learning against Label Noise for Anomaly Detection
Junhang Wu, Ruimin Hu, Dengshi Li et al.
Robust Losses for Decision-Focused Learning
Noah Schutte, Krzysztof Postek, Neil Yorke-Smith
Robust Reward Placement under Uncertainty
Petros Petsinis, Kaichen Zhang, Andreas Pavlogiannis et al.
ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling
N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir et al.
ROME: Robust Multi-Modal Density Estimator
Anna Mészáros, Julian F. Schumann, Javier Alonso-Mora et al.
RSAP-DFM: Regime-Shifting Adaptive Posterior Dynamic Factor Model for Stock Returns Prediction
Quanzhou Xiang, Zhan Chen, Qi Sun et al.
SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports
Maxx Richard Rahman, Lotfy Abdel Khaliq, Thomas Piper et al.
SAEIR: Sequentially Accumulated Entropy Intrinsic Reward for Cooperative Multi-Agent Reinforcement Learning with Sparse Reward
Xin He, Hongwei Ge, Yaqing Hou et al.
Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach
Jiasheng Wu, Xin Liu, Dawei Cheng et al.
Safeguarding Sustainable Cities: Unsupervised Video Anomaly Detection through Diffusion-based Latent Pattern Learning
Menghao Zhang, Jingyu Wang, Qi Qi et al.
Safety Constrained Multi-Agent Reinforcement Learning for Active Voltage Control
Yang Qu, Jinming Ma, Feng Wu
Safety of Multimodal Large Language Models on Images and Text
Xin Liu, Yichen Zhu, Yunshi Lan et al.
SaGol: Using MiniGPT-4 to Generate Alt Text for Improving Image Accessibility
Yunseo Moon, Hyunmin Lee, SeungYoung Oh et al.
Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection
Xianjie Guo, Kui Yu, Hao Wang et al.
Sampling Winners in Ranked Choice Voting
Matthew Iceland, Anson Kahng, Joseph Saber
SaSDim:Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation
Shunyang Zhang, Senzhang Wang, Xianzhen Tan et al.
Scalable Federated Unlearning via Isolated and Coded Sharding
Yijing Lin, Zhipeng Gao, Hongyang Du et al.
Scalable Mechanism Design for Multi-Agent Path Finding
Paul Friedrich, Yulun Zhang, Michael Curry et al.
Scalable Ultrafast Almost-optimal Euclidean Shortest Paths
Stefan Funke, Daniel Koch, Claudius Proissl et al.
Scale and Direction Guided GAN for Inertial Sensor Signal Enhancement
Yifeng Wang, Yi Zhao
Scaling Up Unbiased Search-based Symbolic Regression
Paul Kahlmeyer, Joachim Giesen, Michael Habeck et al.
SCAT: A Time Series Forecasting with Spectral Central Alternating Transformers
Chengjie Zhou, Chao Che, Pengfei Wang et al.
Scene-Adaptive Person Search via Bilateral Modulations
Yimin Jiang, Huibing Wang, Jinjia Peng et al.
SceneDiff: Generative Scene-Level Image Retrieval with Text and Sketch Using Diffusion Models
Ran Zuo, Haoxiang Hu, Xiaoming Deng et al.