Papers
Zero-shot Domain Adaptation Based on Attribute Information
Masato Ishii, Takashi Takenouchi, Masashi Sugiyama
Forward and Backward Knowledge Transfer for Sentiment Classification
Hao Wang, Bing Liu, Shuai Wang et al.
Multi-modal Representation Learning for Successive POI Recommendation
Lishan Li, Ying Liu, Jianping Wu et al.
An Attentive Memory Network Integrated with Aspect Dependency for Document-Level Multi-Aspect Sentiment Classification
Qingxuan Zhang, Chongyang Shi
Multi-Label Learning with Regularization Enriched Label-Specific Features
Ze-Sen Chen, Min-Ling Zhang
Unified Policy Optimization for Robust Reinforcement Learning
Zichuan Lin, Li Zhao, Jiang Bian et al.
FEARS: a Feature and Representation Selection approach for Time Series Classification
Alexis Bondu, Dominique Gay, Vincent Lemaire et al.
Cascaded and Dual: Discrimination Oriented Network for Brain Tumor Classification
Wenxuan Zhang, Dong Zhang, Xinguang Xiang
Latent Multi-view Semi-Supervised Classification
Xiaofan Bo, Zhao Kang, Zhitong Zhao et al.
Functional Isolation Forest
Guillaume Staerman, Pavlo Mozharovskyi, Stephan Clémençon et al.
Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening
Merlin Schüler, Hlynur Davíð Hlynsson, Laurenz Wiskott
Efficient Diversified Mini-Batch Selection using Variable High-layer Features
Wanming Huang, Richard Yi Da Xu, Ian Oppermann
Realistic Image Generation using Region-phrase Attention
Wanming Huang, Richard Yi Da Xu, Ian Oppermann
Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter
Puja Sahu, Nandyala Hemachandra
X-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks
Léonard Torossian, Aurélien Garivier, Victor Picheny
SPCDet: Enhancing Object Detection with Combined Feature Fusing
Haixin Wang, Lintao Wu, Qiongzhi Wu
A Model of Text-Enhanced Knowledge Graph Representation Learning with Collaborative Attention
Yashen Wang, Huanhuan Zhang, Haiyong Xie
Model-Based Reinforcement Learning Exploiting State-Action Equivalence
Mahsa Asadi, Mohammad Sadegh Talebi, Hippolyte Bourel et al.
An Encoding Adversarial Network for Anomaly Detection
Elies Gherbi, Blaise Hanczar, Jean-Christophe Janodet et al.
Learning to Augment with Feature Side-information
Amina Mollaysa, Alexandros Kalousis, Eric Bruno et al.
Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders
Yunxiao Wang, Zheng Liu, Di Hu et al.
Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation
Kenta Konagayoshi, Kazuho Watanabe
Deep Learning with a Rethinking Structure for Multi-label Classification
Yao-Yuan Yang, Yi-An Lin, Hong-Min Chu et al.
Variational Conditional GAN for Fine-grained Controllable Image Generation
Mingqi Hu, Deyu Zhou, Yulan He
ResNet and Batch-normalization Improve Data Separability
Yasutaka Furusho, Kazushi Ikeda