Papers
SSAH: Semi-Supervised Adversarial Deep Hashing with Self-Paced Hard Sample Generation
Sheng Jin, Shangchen Zhou, Yao Liu et al.
Stable Learning via Sample Reweighting
Zheyan Shen, Peng Cui, Tong Zhang et al.
Stable Prediction with Model Misspecification and Agnostic Distribution Shift
Kun Kuang, Ruoxuan Xiong, Peng Cui et al.
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning
Jianwen Sun, Tianwei Zhang, Xiaofei Xie et al.
STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
Uttaran Bhattacharya, Trisha Mittal, Rohan Chandra et al.
Stereoscopic Image Super-Resolution with Stereo Consistent Feature
Wonil Song, Sungil Choi, Somi Jeong et al.
Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval
Dung D. Le, Hady W. Lauw
Stochastic Approximate Gradient Descent via the Langevin Algorithm
Yixuan Qiu, Xiao Wang
Stochastic Loss Function
Qingliang Liu, Jinmei Lai
Stochastic Online Learning with Probabilistic Graph Feedback
Shuai Li, Wei Chen, Zheng Wen et al.
Story Realization: Expanding Plot Events into Sentences
Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung et al.
Storytelling from an Image Stream Using Scene Graphs
Ruize Wang, Zhongyu Wei, Piji Li et al.
Strategy-Proof and Non-Wasteful Multi-Unit Auction via Social Network
Takehiro Kawasaki, Nathanael Barrot, Seiji Takanashi et al.
Strategyproof Mechanisms for Friends and Enemies Games
Michele Flammini, Bojana Kodric, Giovanna Varricchio
Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract)
Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels et al.
Strongly Budget Balanced Auctions for Multi-Sided Markets
Rica Gonen, Erel Segal-Halevi
Structural Decompositions of Epistemic Logic Programs
Markus Hecher, Michael Morak, Stefan Woltran
Structure-Aware Feature Fusion for Unsupervised Domain Adaptation
Qingchao Chen, Yang Liu
Structure-Based Drug-Drug Interaction Detection via Expressive Graph Convolutional Networks and Deep Sets (Student Abstract)
Mengying Sun, Fei Wang, Olivier Elemento et al.
Structured Output Learning with Conditional Generative Flows
You Lu, Bert Huang
Structured Sparsification of Gated Recurrent Neural Networks
Ekaterina Lobacheva, Nadezhda Chirkova, Alexander Markovich et al.
Structure Learning for Approximate Solution of Many-Player Games
Zun Li, Michael Wellman
Structure Learning for Headline Generation
Ruqing Zhang, Jiafeng Guo, Yixing Fan et al.
Subset Selection by Pareto Optimization with Recombination
Chao Qian, Chao Bian, Chao Feng