| 2019 | Exemplar Based Mixture Models with Censored Data. | Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda |
| 2019 | Trust Region Sequential Variational Inference. | Geon-hyeong Kim, Youngsoo Jang, Jongmin Lee, Wonseok Jeon, Hongseok Yang, Kee-Eung Kim |
| 2019 | Forward-Backward Generative Adversarial Networks for Anomaly Detection. | Youngnam Kim, Seungjin Choi |
| 2019 | Canonical Soft Time Warping. | Keisuke Kawano, Satoshi Koide, Takuro Kutsuna |
| 2019 | Learning Weighted Top- | Tsuyoshi Kato, Yoshihiro Hirohashi |
| 2019 | Differentially Private Community Detection in Attributed Social Networks. | Tianxi Ji, Changqing Luo, Yifan Guo, Jinlong Ji, Weixian Liao, Pan Li |
| 2019 | Zero-shot Domain Adaptation Based on Attribute Information. | Masato Ishii, Takashi Takenouchi, Masashi Sugiyama |
| 2019 | Variational Conditional GAN for Fine-grained Controllable Image Generation. | Mingqi Hu, Deyu Zhou, Yulan He |
| 2019 | Efficient Diversified Mini-Batch Selection using Variable High-layer Features. | Wanming Huang, Richard Yi Da Xu, Ian J. Oppermann |
| 2019 | Realistic Image Generation using Region-phrase Attention. | Wanming Huang, Richard Yi Da Xu, Ian J. Oppermann |
| 2019 | An Anchor-Free Oriented Text Detector with Connectionist Text Proposal Network. | Chenhui Huang, Jinhua Xu |
| 2019 | Active Change-Point Detection. | Shogo Hayashi, Yoshinobu Kawahara, Hisashi Kashima |
| 2019 | SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA. | Satoshi Hara, Weichih Chen, Takashi Washio, Tetsuichi Wazawa, Takeharu Nagai |
| 2019 | Convolutional Neural Collaborative Filtering with Stacked Embeddings. | Liu Han, Hailong Wu, Nan Hu, Binbin Qu |
| 2019 | Adaptive truncated residual regression for fine-grained regression problems. | Hirotaka Hachiya, Yu Yamamoto, Kazuro Hirahara, Naonori Ueda |
| 2019 | Variational Inference from Ranked Samples with Features. | Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis |
| 2019 | Stochastic Gradient Trees. | Henry Gouk, Bernhard Pfahringer, Eibe Frank |
| 2019 | Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension. | Marina Gomtsyan, Nikita Mokrov, Maxim Panov, Yury Yanovich |
| 2019 | An Encoding Adversarial Network for Anomaly Detection. | Elies Gherbi, Blaise Hanczar, Jean-Christophe Janodet, Witold Klaudel |
| 2019 | ResNet and Batch-normalization Improve Data Separability. | Yasutaka Furusho, Kazushi Ikeda |
| 2019 | Improving Statute Prediction via Mining Correlations between Statutes. | Yi Feng, Chuanyi Li, Jidong Ge, Bin Luo |
| 2019 | Self-Weighted Multi-View Clustering with Deep Matrix Factorization. | Beilei Cui, Hong Yu, Tiantian Zhang, Siwen Li |
| 2019 | Multi-width Activation and Multiple Receptive Field Networks for Dynamic Scene Deblurring. | Jinkai Cui, Weihong Li, Wei Guo, Weiguo Gong |
| 2019 | Cell-aware Stacked LSTMs for Modeling Sentences. | Jihun Choi, Taeuk Kim, Sang-goo Lee |
| 2019 | A Generalization Bound for Online Variational Inference. | Badr-Eddine Chrief-Abdellatif, Pierre Alquier, Mohammad Emtiyaz Khan |