AINov 3, 2021
Memory Association Networks
arXiv:2111.02353v42 citations
Originality Synthesis-oriented
AI Analysis
This addresses data memorization and imbalance issues for machine learning applications, but appears incremental as it builds on existing memory-based approaches.
The paper tackles the problem of class imbalance by introducing memory association networks (MANs) with short-term and long-term memories, but no concrete results or numbers are provided in the abstract.
We introduce memory association networks(MANs) that memorize and remember any data. This neural network has two memories. One consists of a queue-structured short-term memory to solve the class imbalance problem and long-term memory to store the distribution of objects, introducing the contents of storing and generating various datasets.