2 papers
cs.LG2023
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
Qitian Wu, Wentao Zhao, Chenxiao Yang +5
Learning representations on large-sized graphs is a long-standing challenge due to the inter-dependence nature involved in massive data points. Transformers, as an emerging class o…
cs.CV2023
Efficient Halftoning via Deep Reinforcement Learning
Haitian Jiang, Dongliang Xiong, Xiaowen Jiang +3
Halftoning aims to reproduce a continuous-tone image with pixels whose intensities are constrained to two discrete levels. This technique has been deployed on every printer, and th…