28 citations · 100 across the 11 of their papers we have counts for
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cs.RO2022★ 3 cited
Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning
Xintong Yang, Ze Ji, Jing Wu +1
Although Deep Reinforcement Learning (DRL) has been popular in many disciplines including robotics, state-of-the-art DRL algorithms still struggle to learn long-horizon, multi-step…
cs.CV2022★ 1 cited
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling
Yuanbang Liang, Jing Wu, Yu-Kun Lai +1
Despite the extensive studies on Generative Adversarial Networks (GANs), how to reliably sample high-quality images from their latent spaces remains an under-explored topic. In thi…
cs.CV2022
Playing Lottery Tickets in Style Transfer Models
Meihao Kong, Jing Huo, Wenbin Li +3
Style transfer has achieved great success and attracted a wide range of attention from both academic and industrial communities due to its flexible application scenarios. However,…