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Found 5 papers, 2 papers with code
Leveraging Optimal Transport for Enhanced Offline Reinforcement Learning in Surgical Robotic Environments
In this paper, we introduce Optimal Transport Reward (OTR) labelling, an innovative algorithm designed to assign rewards to offline trajectories, using a small number of high-quality expert demonstrations.
A Review of Machine Learning-based Security in Cloud Computing
Cloud Computing (CC) is revolutionizing the way IT resources are delivered to users, allowing them to access and manage their systems with increased cost-effectiveness and simplified infrastructure.
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges
Overall, the goal of the paper is to provide a comprehensive guide to the growing field of IL in robotics and AI.
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification
We also apply their usual fully-connected layer and the Spinal fully-connected layer to investigate the effectiveness of SpinalNet.
Ranked #1 on
Fine-Grained Image Classification
on Bird-225
(using extra training data)
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis
The early and reliable detection of COVID-19 infected patients is essential to prevent and limit its outbreak.
