Papers
Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning
Evgenii Tsymbalov, Sergei Makarychev, Alexander Shapeev et al.
Exchangeability and Kernel Invariance in Trained MLPs
Russell Tsuchida, Fred Roosta, Marcus Gallagher
Imitation Learning from Video by Leveraging Proprioception
Faraz Torabi, Garrett Warnell, Peter Stone
Image Captioning with Compositional Neural Module Networks
Junjiao Tian, Jean Oh
Hierarchical Inter-Attention Network for Document Classification with Multi-Task Learning
Bing Tian, Yong Zhang, Jin Wang et al.
Adversarial Graph Embedding for Ensemble Clustering
Zhiqiang Tao, Hongfu Liu, Jun Li et al.
AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation
Philip Tannor, Lior Rokach
Deeply-learned Hybrid Representations for Facial Age Estimation
Zichang Tan, Yang Yang, Jun Wan et al.
HMLasso: Lasso with High Missing Rate
Masaaki Takada, Hironori Fujisawa, Takeichiro Nishikawa
Metric Learning on Healthcare Data with Incomplete Modalities
Qiuling Suo, Weida Zhong, Fenglong Ma et al.
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding
Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh et al.
Heavy-ball Algorithms Always Escape Saddle Points
Tao Sun, Dongsheng Li, Zhe Quan et al.
Adversarial Imitation Learning from Incomplete Demonstrations
Mingfei Sun, Xiaojuan Ma
Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning
Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka
Fast and Robust Multi-View Multi-Task Learning via Group Sparsity
Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka
Finding Statistically Significant Interactions between Continuous Features
Mahito Sugiyama, Karsten Borgwardt
Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators
Yuxin Su, Shenglin Zhao, Xixian Chen et al.
Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning
Shihong Song, Jiayi Weng, Hang Su et al.
Solving Continual Combinatorial Selection via Deep Reinforcement Learning
Hyungseok Song, Hyeryung Jang, Hai H. Tran et al.
Play and Prune: Adaptive Filter Pruning for Deep Model Compression
Pravendra Singh, Vinay Kumar Verma, Piyush Rai et al.
Structure Learning for Safe Policy Improvement
Thiago D. Simão, Matthijs T. J. Spaan
A Principled Approach for Learning Task Similarity in Multitask Learning
Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille et al.
The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning
Bonggun Shin, Hao Yang, Jinho D. Choi
Gradient Boosting with Piece-Wise Linear Regression Trees
Yu Shi, Jian Li, Zhize Li
Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning
Wenjie Shi, Shiji Song, Cheng Wu