Many recent practical and theoretical breakthroughs focus on adversarial...
Recent advances in image captioning are mainly driven by large-scale
vis...
Compliant grippers, owing to adaptivity and safety, have attracted
consi...
Compliant grasping is an essential capability for most robots in practic...
Anomaly detection (AD) tries to identify data instances that deviate fro...
Selecting informative data points for expert feedback can significantly
...
Most vision-and-language pretraining research focuses on English tasks.
...
We propose a parallel massage robot with compliant joints based on the s...
The intelligent dialogue system, aiming at communicating with humans
har...
Graph-level anomaly detection has become a critical topic in diverse are...
The literature on treatment choice focuses on the mean of welfare regret...
Anomaly detection aims at identifying data points that show systematic
d...
We develop a new method to detect anomalies within time series, which is...
Forecasting driving behavior or other sensor measurements is an essentia...
Grasping is an essential capability for most robots in practical
applica...
Counterfactual regret Minimization (CFR) is an effective algorithm for
s...
Creole languages such as Nigerian Pidgin English and Haitian Creole are
...
Data transformations (e.g. rotations, reflections, and cropping) play an...
Deep probabilistic time series forecasting models have become an integra...
Model noise is known to have detrimental effects on neural networks, suc...
Today's mobile robots are expected to operate in complex environments th...
Unresolved coreference is a bottleneck for relation extraction, and
high...
Performing a grasp is a pivotal capability for a robotic gripper. We pro...