Search Results for author:
Found 11 papers, 2 papers with code
A Simple Guard for Learned Optimizers
Even if learned optimizers (L2Os) eventually outpace hand-crafted ones in practice however, they are still not provably convergent and might fail out of distribution.
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)
In this work, we propose a novel memory-based multi-agent meta-learning architecture and learning procedure that allows for learning of a shared communication policy that enables the emergence of rapid adaptation to new and unseen environments by learning to learn learning algorithms through communication.
ToyArchitecture: Unsupervised Learning of Interpretable Models of the World
Research in Artificial Intelligence (AI) has focused mostly on two extremes: either on small improvements in narrow AI domains, or on universal theoretical frameworks which are usually uncomputable, incompatible with theories of biological intelligence, or lack practical implementations.
General AI Challenge - Round One: Gradual Learning
The General AI Challenge is an initiative to encourage the wider artificial intelligence community to focus on important problems in building intelligent machines with more general scope than is currently possible.
A Framework for Searching for General Artificial Intelligence
There is a significant lack of unified approaches to building generally intelligent machines.
Self-Organising Maps in Computer Security
The field of computer security tends to accept the latter view as a more appropriate approach due to its more workable validation and verification possibilities.
Object Localization based on Structural SVM using Privileged Information
We propose a structured prediction algorithm for object localization based on Support Vector Machines (SVMs) using privileged information.
Quiet in Class: Classification, Noise and the Dendritic Cell Algorithm
It is found that this feature, while advantageous for noisy, time-ordered classification, is not as useful as a traditional static filter for processing a synthetic dataset.
Investigating the Detection of Adverse Drug Events in a UK General Practice Electronic Health-Care Database
In this paper, existing methods developed for spontaneous reporting databases are implemented on both a spontaneous reporting database and a general practice electronic health-care database and compared.
Wavelet feature extraction and genetic algorithm for biomarker detection in colorectal cancer data
How to select the significant biomarkers from hundreds of protein markers is a key step in survival analysis.
Privileged Information for Data Clustering
This method has the ability to utilize a wide variety of clustering techniques, individually or in combination, while fusing privileged and technical data for improved clustering.
