A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning | Xuanqing Liu · Si Si · Jerry Zhu · Yang Li · Cho-Jui Hsieh |
Are Anchor Points Really Indispensable in Label-Noise Learning? | Xiaobo Xia · Tongliang Liu · Nannan Wang · Bo Han · Chen Gong · Gang Niu · Masashi Sugiyama |
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks | Sitao Luan · Mingde Zhao · Xiao-Wen Chang · Doina Precup |
Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs | Pedro Mercado · Francesco Tudisco · Matthias Hein |
Graph Agreement Models for Semi-Supervised Learning | Otilia Stretcu · Krishnamurthy Viswanathan · Dana Movshovitz-Attias · Emmanouil Platanios · Sujith Ravi · Andrew Tomkins |
Graph-Based Semi-Supervised Learning with Non-ignorable Non-response | Fan Zhou · Tengfei Li · Haibo Zhou · Hongtu Zhu · Ye Jieping |
HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs | Naganand Yadati · Madhav Nimishakavi · Prateek Yadav · Vikram Nitin · Anand Louis · Partha Talukdar |
A Condition Number for Joint Optimization of Cycle-Consistent Networks | Leonidas J Guibas · Qixing Huang · Zhenxiao Liang |
MixMatch: A Holistic Approach to Semi-Supervised Learning | David Berthelot · Nicholas Carlini · Ian Goodfellow · Nicolas Papernot · Avital Oliver · Colin A Raffel |
Uncoupled Regression from Pairwise Comparison Data | Liyuan Xu · Junya Honda · Gang Niu · Masashi Sugiyama |
Unlabeled Data Improves Adversarial Robustness | Yair Carmon · Aditi Raghunathan · Ludwig Schmidt · John Duchi · Percy Liang |