Papers
Active Sampling for Open-Set Classification without Initial Annotation
Zhao-Yang Liu, Sheng-Jun Huang
Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection
Yanbin Liu, Yan Yan, Ling Chen et al.
Ranking-Based Deep Cross-Modal Hashing
Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi et al.
Efficient and Effective Incomplete Multi-View Clustering
Xinwang Liu, Xinzhong Zhu, Miaomiao Li et al.
The Utility of Sparse Representations for Control in Reinforcement Learning
Vincent Liu, Raksha Kumaraswamy, Lei Le et al.
A Bandit Approach to Maximum Inner Product Search
Rui Liu, Tianyi Wu, Barzan Mozafari
A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI
Risheng Liu, Yuxi Zhang, Shichao Cheng et al.
Learning Multi-Task Communication with Message Passing for Sequence Learning
Pengfei Liu, Jie Fu, Yue Dong et al.
Trust Region Evolution Strategies
Guoqing Liu, Li Zhao, Feidiao Yang et al.
Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently
Dan Liu, Dawei Du, Libo Zhang et al.
Near-Neighbor Methods in Random Preference Completion
Ao Liu, Qiong Wu, Zhenming Liu et al.
Learning Plackett-Luce Mixtures from Partial Preferences
Ao Liu, Zhibing Zhao, Chao Liao et al.
MFPCA: Multiscale Functional Principal Component Analysis
Zhenhua Lin, Hongtu Zhu
Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee
Ming Lin, Shuang Qiu, Jieping Ye et al.
Non-Compensatory Psychological Models for Recommender Systems
Chen Lin, Xiaolin Shen, Si Chen et al.
Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis
Rung-Tzuo Liaw, Chuan-Kang Ting
CircConv: A Structured Convolution with Low Complexity
Siyu Liao, Bo Yuan
Learning Logistic Circuits
Yitao Liang, Guy Van den Broeck
Collaborative, Dynamic and Diversified User Profiling
Shangsong Liang
SepNE: Bringing Separability to Network Embedding
Ziyao Li, Liang Zhang, Guojie Song
Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification
Zheng Li, Ying Wei, Yu Zhang et al.
Learning Disentangled Representation with Pairwise Independence
Zejian Li, Yongchuan Tang, Wei Li et al.
Towards Automated Semi-Supervised Learning
Yu-Feng Li, Hai Wang, Tong Wei et al.
Learning Adaptive Random Features
Yanjun Li, Kai Zhang, Jun Wang et al.
Spectral Clustering in Heterogeneous Information Networks
Xiang Li, Ben Kao, Zhaochun Ren et al.