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Found 8 papers, 1 papers with code
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning
With the constructed self-supervised learning task, DDLearn enlarges the data diversity and explores the latent activity properties.
Robust Human Motion Forecasting using Transformer-based Model
In addition, our model is tested in conditions where the human motion is severely occluded, demonstrating its robustness in reconstructing and predicting 3D human motion in a highly noisy environment.
Design and control analysis of a deployable clustered hyperbolic paraboloid cable net
This paper presents an analytical and experimental design and deployment control analysis of a hyperbolic paraboloid cable net based on clustering actuation strategies.
Equilibrium and stiffness study of clustered tensegrity structures with the consideration of pulley sizes
This paper presents the equilibrium and stiffness study of clustered tensegrity structures (CTS) considering pulley sizes.
Dynamics and control of clustered tensegrity systems
This paper presents the formulations of nonlinear and linearized statics, dynamics, and control for any clustered tensegrity system (CTS).
Design and analysis of deployable clustered tensegrity cable domes
Results show that the proposed CTS cable dome always has one prestress mode and is globally stable in its deployment trajectory.
Towards Low-Resource Semi-Supervised Dialogue Generation with Meta-Learning
In this paper, we propose a meta-learning based semi-supervised explicit dialogue state tracker (SEDST) for neural dialogue generation, denoted as MEDST.
Meta-Reinforced Multi-Domain State Generator for Dialogue Systems
The state-of-the-art accuracy for DST is below 50{\%} for a multi-domain dialogue task.
