Papers
Differentiable Submodular Maximization
Sebastian Tschiatschek, Aytunc Sahin, Andreas Krause
Deep into Hypersphere: Robust and Unsupervised Anomaly Discovery in Dynamic Networks
Xian Teng, Muheng Yan, Ali Mert Ertugrul et al.
Algorithms or Actions? A Study in Large-Scale Reinforcement Learning
Anderson Rocha Tavares, Sivasubramanian Anbalagan, Leandro Soriano Marcolino et al.
Exploration by Distributional Reinforcement Learning
Yunhao Tang, Shipra Agrawal
Incomplete Multi-View Weak-Label Learning
Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi et al.
Student-t Variational Autoencoder for Robust Density Estimation
Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka et al.
Positive and Unlabeled Learning via Loss Decomposition and Centroid Estimation
Hong Shi, Shaojun Pan, Jian Yang et al.
Refine or Represent: Residual Networks with Explicit Channel-wise Configuration
Yanyan Shen, Jinyang Gao
Deep Discrete Prototype Multilabel Learning
Xiaobo Shen, Weiwei Liu, Yong Luo et al.
A Bayesian Latent Variable Model of User Preferences with Item Context
Aghiles Salah, Hady W. Lauw
Online Deep Learning: Learning Deep Neural Networks on the Fly
Doyen Sahoo, Quang Pham, Jing Lu et al.
Reachability Analysis of Deep Neural Networks with Provable Guarantees
Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska
Robust Auto-Weighted Multi-View Clustering
Pengzhen Ren, Yun Xiao, Pengfei Xu et al.
Adversarial Constraint Learning for Structured Prediction
Hongyu Ren, Russell Stewart, Jiaming Song et al.
Cross-modal Bidirectional Translation via Reinforcement Learning
Jinwei Qi, Yuxin Peng
Label Embedding Based on Multi-Scale Locality Preservation
Cheng-Lun Peng, An Tao, Xin Geng
Generalization-Aware Structured Regression towards Balancing Bias and Variance
Martin Pavlovski, Fang Zhou, Nino Arsov et al.
Adversarially Regularized Graph Autoencoder for Graph Embedding
Shirui Pan, Ruiqi Hu, Guodong Long et al.
Multinomial Logit Bandit with Linear Utility Functions
Mingdong Ou, Nan Li, Shenghuo Zhu et al.
A Degeneracy Framework for Graph Similarity
Giannis Nikolentzos, Polykarpos Meladianos, Stratis Limnios et al.
CAGAN: Consistent Adversarial Training Enhanced GANs
Yao Ni, Dandan Song, Xi Zhang et al.
An Information Theory based Approach to Multisource Clustering
Pierre-Alexandre Murena, Jérémie Sublime, Basarab Matei et al.
Neural Machine Translation with Key-Value Memory-Augmented Attention
Fandong Meng, Zhaopeng Tu, Yong Cheng et al.
Interactive Optimal Teaching with Unknown Learners
Francisco S. Melo, Carla Guerra, Manuel Lopes
Spectral Feature Scaling Method for Supervised Dimensionality Reduction
Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai