Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informaticsby Michael Moran, Vladimir…
ACES: Automatic Cohort Extraction System for Event-Stream Datasetsby Justin Xu, Jack Gallifant, Alistair E. W.…
Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Predictionby Kexin Zhang, Feng Huang, Luotao…
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentationby Kimia Hamidieh, Haoran Zhang, Swami…
When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learningby Claas Voelcker, Tyler Kastner, Igor…
SE-VGAE: Unsupervised Disentangled Representation Learning for Interpretable Architectural Layout Design Graph Generationby Jielin Chen, Rudi…
Multimodal Physiological Signals Representation Learning via Multiscale Contrasting for Depression Recognitionby Kai Shao, Rui Wang,…
When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insightsby You-Wei Luo, Chuan-Xian RenFirst…
Learning Interpretable Fair Representationsby Tianhao Wang, Zana Buçinca, Zilin MaFirst submitted to arxiv on: 24…
Learning When the Concept Shifts: Confounding, Invariance, and Dimension Reductionby Kulunu Dharmakeerthi, YoonHaeng Hur, Tengyuan…