Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Priorby Wang Xinming, Li Yongxiang, Yue Xiaowei,…
Standing on the shoulders of giantsby Lucas Felipe Ferraro Cardoso, José de Sousa Ribeiro Filho,…
RuleExplorer: A Scalable Matrix Visualization for Understanding Tree Ensemble Classifiersby Zhen Li, Weikai Yang, Jun…
Few-shot Multi-Task Learning of Linear Invariant Features with Meta Subspace Pursuitby Chaozhi Zhang, Lin Liu,…
MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learningby Jiarui Sun,…
Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approachby Wenjun Huang, Yang Ni, Arghavan Rezvani, SungHeon…
Task-Oriented Communication for Graph Data: A Graph Information Bottleneck Approachby Shujing Li, Yanhu Wang, Shuaishuai…
Tractable Offline Learning of Regular Decision Processesby Ahana Deb, Roberto Cipollone, Anders Jonsson, Alessandro Ronca,…
Complete and Efficient Covariants for 3D Point Configurations with Application to Learning Molecular Quantum Propertiesby…
UnLearning from Experience to Avoid Spurious Correlationsby Jeff Mitchell, Jesús Martínez del Rincón, Niall McLaughlinFirst…