Papers
Sorting and Hypergraph Orientation under Uncertainty with Predictions
Thomas Erlebach, Murilo de Lima, Nicole Megow et al.
Sources and Information Reliability Measures
Quentin Elsaesser
Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks
Hannah Kim, Celia Cintas, Girmaw Abebe Tadesse et al.
Spatially Covariant Lesion Segmentation
Hang Zhang, Rongguang Wang, Jinwei Zhang et al.
Spatial-Temporal Self-Attention for Asynchronous Spiking Neural Networks
Yuchen Wang, Kexin Shi, Chengzhuo Lu et al.
Specifying and Testing k-Safety Properties for Machine-Learning Models
Maria Christakis, Hasan Ferit Eniser, Jörg Hoffmann et al.
Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator
Shuhei Watanabe, Noor Awad, Masaki Onishi et al.
Sph2Pob: Boosting Object Detection on Spherical Images with Planar Oriented Boxes Methods
Xinyuan Liu, Hang Xu, Bin Chen et al.
Spike Count Maximization for Neuromorphic Vision Recognition
Jianxiong Tang, Jian-Huang Lai, Xiaohua Xie et al.
Spotlight News Driven Quantitative Trading Based on Trajectory Optimization
Mengyuan Yang, Mengying Zhu, Qianqiao Liang et al.
SQuAD-SRC: A Dataset for Multi-Accent Spoken Reading Comprehension
Yixuan Tang, Anthony K.H: Tung
SS-BSN: Attentive Blind-Spot Network for Self-Supervised Denoising with Nonlocal Self-Similarity
Young-Joo Han, Ha-Jin Yu
SSML-QNet: Scale-Separative Metric Learning Quadruplet Network for Multi-modal Image Patch Matching
Xiuwei Zhang, Yi Sun, Yamin Han et al.
Stability and Generalization of lp-Regularized Stochastic Learning for GCN
Shiyu Liu, Linsen Wei, Shaogao Lv et al.
StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset
Chaofan Huo, Ye Shi, Yuexin Ma et al.
State-wise Safe Reinforcement Learning: A Survey
Weiye Zhao, Tairan He, Rui Chen et al.
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs
Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto et al.
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels
Hao-Tian Li, Tong Wei, Hao Yang et al.
Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms
Chao Bian, Yawen Zhou, Miqing Li et al.
StockFormer: Learning Hybrid Trading Machines with Predictive Coding
Siyu Gao, Yunbo Wang, Xiaokang Yang
Strategic Adversarial Attacks in AI-assisted Decision Making to Reduce Human Trust and Reliance
Zhuoran Lu, Zhuoyan Li, Chun-Wei Chiang et al.
Strategic Resource Selection with Homophilic Agents
Jonathan Gadea Harder, Simon Krogmann, Pascal Lenzner et al.
Strip Attention for Image Restoration
Yuning Cui, Yi Tao, Luoxi Jing et al.
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences
Jie Qiao, Ruichu Cai, Siyu Wu et al.
STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar?
Xin Zhao, Jifeng Guo, Lin Wang et al.