The KANDY Benchmark: Incremental Neuro-Symbolic Learning and Reasoning with Kandinsky Patterns

arXiv:2402.17431v1 Announce Type: cross
Abstract: Artificial intelligence is continuously seeking novel challenges and benchmarks to effectively measure performance and to advance the state-of-the-art. In this paper we introduce KANDY, a benchmarking framework that can be used to generate a variety of learning and reasoning tasks inspired by Kandinsky patterns. By creating curricula of binary classification tasks with increasing complexity and with sparse supervisions, KANDY can be used to implement benchmarks for continual and semi-supervised learning, with a specific focus on …

abstract advance art artificial artificial intelligence arxiv benchmark benchmarking benchmarks challenges cs.ai cs.lg framework generate incremental intelligence neuro novel paper patterns performance reasoning state tasks type