no code implementations • 4 Jul 2023 • Rui Wang, Zhiming Zhou, Tao Zhang, Ling Wang, Xin Xu, Xiangke Liao, Kaiwen Li
The proposed model, which combines the graph neural network and the pointer mechanism, can effectively map from the solver state to the branching variable decisions.
no code implementations • 3 Feb 2023 • Yizhou Chen, Guangda Huzhang, AnXiang Zeng, Qingtao Yu, Hui Sun, Heng-yi Li, Jingyi Li, Yabo Ni, Han Yu, Zhiming Zhou
However, such a method has two important limitations in real-world applications: 1) it is hard to learn embeddings that generalize well for users and items with rare interactions on their own; and 2) it may incur unbearably high memory costs when the number of users and items scales up.
1 code implementation • 7 Dec 2020 • Minkai Xu, Zhiming Zhou, Guansong Lu, Jian Tang, Weinan Zhang, Yong Yu
Wasserstein GANs (WGANs), built upon the Kantorovich-Rubinstein (KR) duality of Wasserstein distance, is one of the most theoretically sound GAN models.
no code implementations • 28 Sep 2020 • Tianxing He, Jingzhao Zhang, Zhiming Zhou, James R. Glass
The exposure bias problem refers to the incrementally distorted generation induced by the training-generation discrepancy, in teacher-forcing training for auto-regressive neural network language models (LM).
no code implementations • 14 Mar 2020 • Guansong Lu, Zhiming Zhou, Jian Shen, Cheng Chen, Wei-Nan Zhang, Yong Yu
Recent advances in large-scale optimal transport have greatly extended its application scenarios in machine learning.
no code implementations • 21 Nov 2019 • Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Wei-Nan Zhang, Yong Yu
Domain adaptation aims to leverage the supervision signal of source domain to obtain an accurate model for target domain, where the labels are not available.
1 code implementation • 25 May 2019 • Yaoming Zhu, Juncheng Wan, Zhiming Zhou, Liheng Chen, Lin Qiu, Wei-Nan Zhang, Xin Jiang, Yong Yu
Knowledge base is one of the main forms to represent information in a structured way.
no code implementations • EMNLP 2021 • Tianxing He, Jingzhao Zhang, Zhiming Zhou, James Glass
Exposure bias has been regarded as a central problem for auto-regressive language models (LM).
1 code implementation • 2 Apr 2019 • Zhiming Zhou, Jian Shen, Yuxuan Song, Wei-Nan Zhang, Yong Yu
Lipschitz continuity recently becomes popular in generative adversarial networks (GANs).
1 code implementation • 15 Feb 2019 • Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Wei-Nan Zhang, Yong Yu, Zhihua Zhang
By contrast, Wasserstein GAN (WGAN), where the discriminative function is restricted to 1-Lipschitz, does not suffer from such a gradient uninformativeness problem.
no code implementations • 15 Nov 2018 • Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu
CycleGAN is capable of learning a one-to-one mapping between two data distributions without paired examples, achieving the task of unsupervised data translation.
3 code implementations • ICLR 2019 • Zhiming Zhou, Qingru Zhang, Guansong Lu, Hongwei Wang, Wei-Nan Zhang, Yong Yu
Adam is shown not being able to converge to the optimal solution in certain cases.
1 code implementation • 2 Jul 2018 • Zhiming Zhou, Yuxuan Song, Lantao Yu, Hongwei Wang, Jiadong Liang, Wei-Nan Zhang, Zhihua Zhang, Yong Yu
In this paper, we investigate the underlying factor that leads to failure and success in the training of GANs.
no code implementations • 17 Oct 2017 • Runze Xu, Zhiming Zhou, Wei-Nan Zhang, Yong Yu
Face transfer animates the facial performances of the character in the target video by a source actor.
no code implementations • 5 Aug 2017 • Zhiming Zhou, Wei-Nan Zhang, Jun Wang
In this article, we mathematically study several GAN related topics, including Inception score, label smoothing, gradient vanishing and the -log(D(x)) alternative.
no code implementations • 5 Jul 2017 • Haifeng Zhang, Jun Wang, Zhiming Zhou, Wei-Nan Zhang, Ying Wen, Yong Yu, Wenxin Li
In typical reinforcement learning (RL), the environment is assumed given and the goal of the learning is to identify an optimal policy for the agent taking actions through its interactions with the environment.
2 code implementations • ICLR 2018 • Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Wei-Nan Zhang, Yong Yu, Jun Wang
Our proposed model also outperforms the baseline methods in the new metric.
1 code implementation • 22 Feb 2017 • Yun Cao, Zhiming Zhou, Wei-Nan Zhang, Yong Yu
Colorization of grayscale images has been a hot topic in computer vision.