Papers
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning
Jianwen Sun, Tianwei Zhang, Xiaofei Xie et al.
New Interpretations of Normalization Methods in Deep Learning
Jiacheng Sun, Xiangyong Cao, Hanwen Liang et al.
Lifelong Spectral Clustering
Gan Sun, Yang Cong, Qianqian Wang et al.
Learning Efficient Representations for Fake Speech Detection
Nishant Subramani, Delip Rao
Scalable Probabilistic Matrix Factorization with Graph-Based Priors
Jonathan Strahl, Jaakko Peltonen, Hirsohi Mamitsuka et al.
Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance
Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek et al.
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip
Yuxuan Song, Minkai Xu, Lantao Yu et al.
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards
Yuhang Song, Jianyi Wang, Thomas Lukasiewicz et al.
Bivariate Beta-LSTM
Kyungwoo Song, JoonHo Jang, Seung jae Shin et al.
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers
Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh et al.
Efficient Facial Feature Learning with Wide Ensemble-Based Convolutional Neural Networks
Henrique Siqueira, Sven Magg, Stefan Wermter
Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents
Felipe Leno Da Silva, Pablo Hernandez-Leal, Bilal Kartal et al.
HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface
Sungho Shin, Jinhwan Park, Yoonho Boo et al.
Hierarchically Clustered Representation Learning
Su-Jin Shin, Kyungwoo Song, Il-Chul Moon
Morphism-Based Learning for Structured Data
Kilho Shin, Dave Shepard
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting
Qiquan Shi, Jiaming Yin, Jiajun Cai et al.
Deep Message Passing on Sets
Yifeng Shi, Junier Oliva, Marc Niethammer
Loss-Based Attention for Deep Multiple Instance Learning
Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie et al.
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization
Wanli Shi, Bin Gu, Xiang Li et al.
Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution
Shu-Ting Shi, Wenhao Zheng, Jun Tang et al.
Gamma-Nets: Generalizing Value Estimation over Timescale
Craig Sherstan, Shibhansh Dohare, James MacGlashan et al.
Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning
Kekai Sheng, Weiming Dong, Menglei Chai et al.
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference
Jianghao Shen, Yue Wang, Pengfei Xu et al.
Stable Learning via Sample Reweighting
Zheyan Shen, Peng Cui, Tong Zhang et al.
AUC Optimization with a Reject Option
Song-Qing Shen, Bin-Bin Yang, Wei Gao