Sparsified State-Space Models are Efficient Highway Networks

NeFL: Nested Model Scaling for Federated Learning with System Heterogeneous Clients

Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness (arXiv, code)

Holistic Molecular Representation Learning via Multi-view Fragmentation

Few-shot Anomaly Detection via Personalization

Adapting to Unknown Conditions in Learning-based Mobile Sensing

Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling (arXiv)

Deep Neural Network Based Electrical Impedance Tomographic Sensing Methodology for Large-Area Robotic Tactile Sensing

Information Source Finding in Networks: Querying With Budgets (arXiv)

Dynamic Control for On-Demand Interference-Managed WLAN Infrastructures