Papers
Multi-branch Siamese Network for High Performance Online Visual Tracking
Junfei Zhuang, Yuan Dong, Hongliang Bai et al.
Learning to Sample Hard Instances for Graph Algorithms
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Capsule Networks Need an Improved Routing Algorithm
Inyoung Paik, Taeyeong Kwak, Injung Kim
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