Industry
Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models
Authors contributed equally to this work.
a84953147312ea2e8b020e53a267321b-Paper-Conference.pdf
Selecting subsets of features that differentiate between two conditions is a key task inabroad range ofscientific domains.
GraspGF: Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping
The use of anthropomorphic robotic hands for assisting individuals in situations where human hands may be unavailable or unsuitable has gained significant importance.
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning
Social media platforms capture diverse attack sequence samples through both machine and manual screening processes. Investigating effective ways to leverage these adversarial samples to enhance robustness is imperative.
High-dimensional (Group) Adversarial Training in Linear Regression
In this paper, we will give the non-asymptotic convergence rate of the prediction error in high-dimensional adversarial training.