ACML 2018
57 papers
A Faster Sampling Algorithm for Spherical $k$-Means
Rameshwar Pratap, Anup Deshmukh, Pratheeksha Nair, Tarun Dutt A Scalable Heterogeneous Parallel SOM Based on MPI/CUDA
Yao Liu, Jun Sun, Qing Yao, Su Wang, Kai Zheng, Yan Liu Adversarial Neural Machine Translation
Lijun Wu, Yingce Xia, Fei Tian, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu ASVRG: Accelerated Proximal SVRG
Fanhua Shang, Licheng Jiao, Kaiwen Zhou, James Cheng, Yan Ren, Yufei Jin Batch Normalized Deep Boltzmann Machines
Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Phung Cartoon-to-Photo Facial Translation with Generative Adversarial Networks
Junhong Huang, Mingkui Tan, Yuguang Yan, Chunmei Qing, Qingyao Wu, Zhuliang Yu Clustering Induced Kernel Learning
Khanh Nguyen, Nhan Dam, Trung Le, Tu Dinh Nguyen, Dinh Phung Clustering Uncertain Graphs with Node Attributes
Yafang Li, Xiangnan Kong, Caiyan Jia, Jianqiang Li Co-Regularized Multi-View Subspace Clustering
Hong Yu, Tiantian Zhang, Yahong Lian, Yu Cai Deep Fully-Connected Part-Based Models for Human Pose Estimation
Rodrigo de Bem, Anurag Arnab, Stuart Golodetz, Michael Sapienza, Philip Torr Deep Multi-Instance Learning with Dynamic Pooling
Yongluan Yan, Xinggang Wang, Xiaojie Guo, Jiemin Fang, Wenyu Liu, Junzhou Huang Fast Randomized PCA for Sparse Data
Xu Feng, Yuyang Xie, Mingye Song, Wenjian Yu, Jie Tang Profitable Bandits
Mastane Achab, Stephan Clémençon, Aurélien Garivier