research
∙
07/11/2023
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
Automating the monitoring of industrial processes has the potential to e...
share
research
∙
05/09/2023
Safe Deep RL for Intraoperative Planning of Pedicle Screw Placement
Spinal fusion surgery requires highly accurate implantation of pedicle s...
research
∙
12/08/2022
Bio-Inspired, Task-Free Continual Learning through Activity Regularization
The ability to sequentially learn multiple tasks without forgetting is a...
research
∙
10/17/2022
Meta-Learning via Classifier(-free) Guidance
State-of-the-art meta-learning techniques do not optimize for zero-shot ...
research
∙
07/25/2022
Homomorphism Autoencoder – Learning Group Structured Representations from Observed Transitions
How can we acquire world models that veridically represent the outside w...
research
∙
04/14/2022
Minimizing Control for Credit Assignment with Strong Feedback
The success of deep learning attracted interest in whether the brain lea...
research
∙
11/23/2021
Uncertainty estimation under model misspecification in neural network regression
Although neural networks are powerful function approximators, the underl...
research
∙
07/26/2021
Are Bayesian neural networks intrinsically good at out-of-distribution detection?
The need to avoid confident predictions on unfamiliar data has sparked i...
research
∙
06/15/2021
Credit Assignment in Neural Networks through Deep Feedback Control
The success of deep learning sparked interest in whether the brain learn...
research
∙
03/01/2021
Posterior Meta-Replay for Continual Learning
Continual Learning (CL) algorithms have recently received a lot of atten...
research
∙
07/25/2020
Economical ensembles with hypernetworks
Averaging the predictions of many independently trained neural networks ...
research
∙
06/25/2020
A Theoretical Framework for Target Propagation
The success of deep learning, a brain-inspired form of AI, has sparked i...
research
∙
06/22/2020
Continual Learning in Recurrent Neural Networks with Hypernetworks
The last decade has seen a surge of interest in continual learning (CL),...
research
∙
06/03/2019
