Implicit Memory
Implicit memory, the unconscious retention of information influencing subsequent behavior, is a crucial area of research across diverse fields, from artificial intelligence to neuroscience. Current research focuses on improving the effectiveness of implicit memory representations in various models, including those leveraging transformer architectures and memory modules to address limitations like the "forgetting phenomenon" and the inherent ambiguity in one-to-many mappings. These advancements are driving progress in applications such as object detection in robotics, video segmentation, and language modeling, where efficient and robust memory mechanisms are essential for improved performance and generalization.
Papers
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