Pattern recognition and classification

Learning from Label Proportion with Online Pseudo-Label Decision by Regret Minimization

Towards hyperbolic regularizers for point cloud part segmentation

SEQUENCE-BASED DEVICE-FREE GESTURE RECOGNITION FRAMEWORK FOR MULTI-CHANNEL ACOUSTIC SIGNALS

Energy Regularized RNNs for Solving Non-Stationary Bandit Problems

Explicit and Implicit Knowledge Distillation via Unlabeled Data

Backdoor Defense via Suppressing Model Shortcuts

Exploiting One-class classification optimization objectives for increasing adversarial robustness

Provably Convergent Plug & Play Linearized ADMM, applied to Deblurring Spatially Varying Kernels

Building Blocks for a Complex-Valued Transformer Architecture

Untargeted Backdoor Attack against Object Detection

Tensorized LSSVMs for Multitask Regression

DEFENDING AGAINST UNIVERSAL PATCH ATTACKS BY RESTRICTING TOKEN ATTENTION IN VISION TRANSFORMERS