4 accepted papers
We propose **Block Adaptive Signum (BAS)**, which bridges Adam and SignSGD via block-wise scaling of sign updates. By discarding element-wise second moments, BAS reduces memory overhead relative to AdamW without sacrificing performance. Crucially, BAS mimics Adam’s dynamics closely enough to directl…
Currently, multilingual machine translation is receiving more and more attention since it brings better performance for low resource languages (LRLs) and saves more space. However, existing multilingual machine translation models face a severe challenge: imbalance. As a result, the translation perfo…
Transformer is a ubiquitous model for natural language processing and has attracted wide attentions in computer vision. The attention maps are indispensable for a transformer model to encode the dependencies among input tokens. However, they are learned independently in each layer and sometimes fail…
This paper is a preliminary exploration of how to solve the dual-manipulator path-planning problem from an energy perspective. A virtual spring is set up between the two manipulator bodies and becomes compressed as they move into the area of danger, thus producing elastic potential energy. The initi…