Papers
Multi-Precision Quantized Neural Networks via Encoding Decomposition of {-1,+1}
Qigong Sun, Fanhua Shang, Kang Yang et al.
Partial Multi-Label Learning by Low-Rank and Sparse Decomposition
Lijuan Sun, Songhe Feng, Tao Wang et al.
Soft Facial Landmark Detection by Label Distribution Learning
Kai Su, Xin Geng
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset
Amber Srivastava, Mayank Baranwal, Srinivasa Salapaka
Diversity-Driven Extensible Hierarchical Reinforcement Learning
Yuhang Song, Jianyi Wang, Thomas Lukasiewicz et al.
Hierarchical Context Enabled Recurrent Neural Network for Recommendation
Kyungwoo Song, Mingi Ji, Sungrae Park et al.
Composable Modular Reinforcement Learning
Christopher Simpkins, Charles Isbell
Safe Policy Improvement with Baseline Bootstrapping in Factored Environments
Thiago D. Simão, Matthijs T. J. Spaan
Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents
Aditya Siddhant, Anuj Goyal, Angeliki Metallinou
Transferable Curriculum for Weakly-Supervised Domain Adaptation
Yang Shu, Zhangjie Cao, Mingsheng Long et al.
Sensitivity Analysis of Deep Neural Networks
Hai Shu, Hongtu Zhu
Evaluating Recommender System Stability with Influence-Guided Fuzzing
David Shriver, Sebastian Elbaum, Matthew B. Dwyer et al.
Label Embedding with Partial Heterogeneous Contexts
Yaxin Shi, Donna Xu, Yuangang Pan et al.
Sublinear Time Numerical Linear Algebra for Structured Matrices
Xiaofei Shi, David P. Woodruff
Automatic Code Review by Learning the Revision of Source Code
Shu-Ting Shi, Ming Li, David Lo et al.
Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning
Jing-Cheng Shi, Yang Yu, Qing Da et al.
Multi-View Anomaly Detection: Neighborhood in Locality Matters
Xiang-Rong Sheng, De-Chuan Zhan, Su Lu et al.
MEAL: Multi-Model Ensemble via Adversarial Learning
Zhiqiang Shen, Zhankui He, Xiangyang Xue
Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks
Jin Shang, Mingxuan Sun
Sparse Reject Option Classifier Using Successive Linear Programming
Kulin Shah, Naresh Manwani
Unsupervised Learning with Contrastive Latent Variable Models
Kristen A. Severson, Soumya Ghosh, Kenney Ng
Congestion Graphs for Automated Time Predictions
Arik Senderovich, J. Christopher Beck, Avigdor Gal et al.
Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks
Patrick Schwab, Djordje Miladinovic, Walter Karlen
Covariate Shift Adaptation on Learning from Positive and Unlabeled Data
Tomoya Sakai, Nobuyuki Shimizu
How Many Pairwise Preferences Do We Need to Rank a Graph Consistently?
Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya