no code implementations • Findings (ACL) 2022 • Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Jiaming Wu, Heng Gong, Bing Qin
Weighted decoding methods composed of the pretrained language model (LM) and the controller have achieved promising results for controllable text generation.
no code implementations • 15 Feb 2024 • Yuxuan Gu, Yi Jin, Ben Wang, Zhixiang Wei, Xiaoxiao Ma, Pengyang Ling, Haoxuan Wang, Huaian Chen, Enhong Chen
In this work, we observe that the generators, which are pre-trained on massive natural images, inherently hold the promising potential for superior low-light image enhancement against varying scenarios. Specifically, we embed a pre-trained generator to Retinex model to produce reflectance maps with enhanced detail and vividness, thereby recovering features degraded by low-light conditions. Taking one step further, we introduce a novel optimization strategy, which backpropagates the gradients to the input seeds rather than the parameters of the low-light enhancement model, thus intactly retaining the generative knowledge learned from natural images and achieving faster convergence speed.
1 code implementation • 16 Dec 2022 • Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Weihong Zhong, Bing Qin
Previous work on controllable text generation has explored the idea of control from the latent space, such as optimizing a representation with attribute-related classifiers or sampling a representation from relevant discrete samples.
1 code implementation • 6 Oct 2022 • Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin
Multi-aspect controllable text generation is a more challenging and practical task than single-aspect control.
no code implementations • 21 Jun 2022 • Yuxuan Gu, Jianxiao Wang, Yuanbo Chen, Kedi Zheng, Zhongwei Deng, Qixin Chen
Based on the sensitivity indexes, the SSO algorithm can decouple the mixed impacts of different parameters during the identification.
no code implementations • 5 Nov 2021 • Yuxuan Gu, Jianxiao Wang, Yuanbo Chen, Zhongwei Deng, Hongye Guo, Kedi Zheng, Qixin Chen
The penetrations of lithium-ion batteries in transport, energy and communication systems are increasing rapidly.