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Found 8 papers, 3 papers with code
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems?
In the past few years, deep learning methods have attracted a lot of research, and are now heavily used in modern real-world recommender systems.
Physics-informed radial basis network (PIRBN): A local approximating neural network for solving nonlinear PDEs
Our recent intensive study has found that physics-informed neural networks (PINN) tend to be local approximators after training.
Securing Federated Learning against Overwhelming Collusive Attackers
While relaxing this assumption that anyway does not hold in reality due to the heterogeneous nature of devices, federated learning (FL) has emerged as a privacy-preserving solution to train a collaborative model over non-iid data distributed across a massive number of devices.
FedAR+: A Federated Learning Approach to Appliance Recognition with Mislabeled Data in Residential Buildings
With the enhancement of people's living standards and rapid growth of communication technologies, residential environments are becoming smart and well-connected, increasing overall energy consumption substantially.
A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in Sanskrit
The phenomenon of compounding is ubiquitous in Sanskrit.
Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning
Not only this, but we can also distinguish between targeted and untargeted attacks among malicious clients, unlike most prior works which only consider one type of the attacks.
Hyperparameter optimization with REINFORCE and Transformers
In this paper, we demonstrate how its performance can be improved by using a simplified Transformer block to model the policy network.
Approaches and Applications of Early Classification of Time Series: A Review
As most of the approaches have solved the early classification problem with different aspects, it becomes very important to make a thorough review of the existing solutions to know the current status of the area.
