Papers
Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm
Rong Yin, Yong Liu, Lijing Lu et al.
Shared Generative Latent Representation Learning for Multi-View Clustering
Ming Yin, Weitian Huang, Junbin Gao
A Novel Model for Imbalanced Data Classification
Jian Yin, Chunjing Gan, Kaiqi Zhao et al.
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning
Deheng Ye, Zhao Liu, Mingfei Sun et al.
Efficient Neural Architecture Search via Proximal Iterations
Quanming Yao, Ju Xu, Wei-Wei Tu et al.
Graph Few-Shot Learning via Knowledge Transfer
Huaxiu Yao, Chuxu Zhang, Ying Wei et al.
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families
Yibo Yang, Jianlong Wu, Hongyang Li et al.
ML-LOO: Detecting Adversarial Examples with Feature Attribution
Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh et al.
Distributed Primal-Dual Optimization for Online Multi-Task Learning
Peng Yang, Ping Li
Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks
Li Yang, Zhezhi He, Deliang Fan
Bi-Directional Generation for Unsupervised Domain Adaptation
Guanglei Yang, Haifeng Xia, Mingli Ding et al.
Revisiting Online Quantum State Learning
Feidiao Yang, Jiaqing Jiang, Jialin Zhang et al.
Variational Adversarial Kernel Learned Imitation Learning
Fan Yang, Alina Vereshchaka, Yufan Zhou et al.
Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations
Zhaoyi Yan, Yemin Shi, Yaowei Wang et al.
Active Learning with Query Generation for Cost-Effective Text Classification
Yi-Fan Yan, Sheng-Jun Huang, Shaoyi Chen et al.
Partial Label Learning with Batch Label Correction
Yan Yan, Yuhong Guo
Effective Data Augmentation with Multi-Domain Learning GANs
Shin'ya Yamaguchi, Sekitoshi Kanai, Takeharu Eda
One-Shot Image Classification by Learning to Restore Prototypes
Wanqi Xue, Wei Wang
Not All Attention Is Needed: Gated Attention Network for Sequence Data
Lanqing Xue, Xiaopeng Li, Nevin L. Zhang
Light Multi-Segment Activation for Model Compression
Zhenhui Xu, Guolin Ke, Jia Zhang et al.
To Avoid the Pitfall of Missing Labels in Feature Selection: A Generative Model Gives the Answer
Yuanyuan Xu, Jun Wang, Jinmao Wei
Generative-Discriminative Complementary Learning
Yanwu Xu, Mingming Gong, Junxiang Chen et al.
Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests
Xiao Xu, Fang Dong, Yanghua Li et al.
Partial Multi-Label Learning with Label Distribution
Ning Xu, Yun-Peng Liu, Xin Geng
Adversarial Domain Adaptation with Domain Mixup
Minghao Xu, Jian Zhang, Bingbing Ni et al.