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An Evaluation of GPT-4 on the ETHICS Dataset
This report summarizes a short study of the performance of GPT-4 on the ETHICS dataset.
Improving Deep Models of Person Re-identification for Cross-Dataset Usage
Person re-identification (Re-ID) is the task of matching humans across cameras with non-overlapping views that has important applications in visual surveillance.
Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning
Cross-dataset transfer learning is an important problem in person re-identification (Re-ID).
Vision System for AGI: Problems and Directions
What frameworks and architectures are necessary to create a vision system for AGI?
Universal Empathy and Ethical Bias for Artificial General Intelligence
We assume that generalized states of the world are valuable - not rewards themselves, and propose an extension of AIXI, in which rewards are used only to bootstrap hierarchical value learning.
Extending Universal Intelligence Models with Formal Notion of Representation
Solomonoff induction is known to be universal, but incomputable.
Direct Uncertainty Estimation in Reinforcement Learning
Optimal probabilistic approach in reinforcement learning is computationally infeasible.
Universal Induction with Varying Sets of Combinators
Our experiments show that low-complexity induction or prediction tasks can be solved by the developed system (much more efficiently than using brute force); useful combinators can be revealed and included into the representation simplifying more difficult tasks.
