Papers
Experimental Design under the Bradley-Terry Model
Yuan Guo, Peng Tian, Jayashree Kalpathy-Cramer et al.
INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process
Ruocheng Guo, Jundong Li, Huan Liu
Energy-efficient Amortized Inference with Cascaded Deep Classifiers
Jiaqi Guan, Yang Liu, Qiang Liu et al.
Regularizing Deep Neural Networks with an Ensemble-based Decorrelation Method
Shuqin Gu, Yuexian Hou, Lipeng Zhang et al.
Accelerated Asynchronous Greedy Coordinate Descent Algorithm for SVMs
Bin Gu, Yingying Shan, Xiang Geng et al.
Faster Training Algorithms for Structured Sparsity-Inducing Norm
Bin Gu, Xingwang Ju, Xiang Li et al.
Teaching Semi-Supervised Classifier via Generalized Distillation
Chen Gong, Xiaojun Chang, Meng Fang et al.
Scalable Rule Learning via Learning Representation
Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang
Active Discriminative Network Representation Learning
Li Gao, Hong Yang, Chuan Zhou et al.
Cuckoo Feature Hashing: Dynamic Weight Sharing for Sparse Analytics
Jinyang Gao, Beng Chin Ooi, Yanyan Shen et al.
Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models
Hongchang Gao, Heng Huang
Joint Generative Moment-Matching Network for Learning Structural Latent Code
Hongchang Gao, Heng Huang
Complementary Binary Quantization for Joint Multiple Indexing
Qiang Fu, Xu Han, Xianglong Liu et al.
Leveraging Latent Label Distributions for Partial Label Learning
Lei Feng, Bo An
A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios
Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu
Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization
Yuxuan Du, Tongliang Liu, Yinan Li et al.
Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding
Lun Du, Yun Wang, Guojie Song et al.
Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach
Lun Du, Zhicong Lu, Yun Wang et al.
Counterexample-Guided Data Augmentation
Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue et al.
Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection
Xiao Dong, Lei Zhu, Xuemeng Song et al.
Behavior of Analogical Inference w.r.t. Boolean Functions
Miguel Couceiro, Nicolas Hug, Henri Prade et al.
Unifying and Merging Well-trained Deep Neural Networks for Inference Stage
Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee et al.
Causal Inference in Time Series via Supervised Learning
Yoichi Chikahara, Akinori Fujino
Solving Separable Nonsmooth Problems Using Frank-Wolfe with Uniform Affine Approximations
Edward Cheung, Yuying Li
Distributed Primal-Dual Optimization for Non-uniformly Distributed Data
Minhao Cheng, Cho-Jui Hsieh