| 2017 | Recovering Probability Distributions from Missing Data. | Jin Tian |
| 2017 | Multi-view Clustering with Adaptively Learned Graph. | Hong Tao, Chenping Hou, Jubo Zhu, Dongyun Yi |
| 2017 | Scale-Invariant Recognition by Weight-Shared CNNs in Parallel. | Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara |
| 2017 | Whitening-Free Least-Squares Non-Gaussian Component Analysis. | Hiroaki Shiino, Hiroaki Sasaki, Gang Niu, Masashi Sugiyama |
| 2017 | Data sparse nonparametric regression with ε-insensitive losses. | Maxime Sangnier, Olivier Fercoq, Florence d'Alch-Buc |
| 2017 | A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings. | Sami Remes, Markus Heinonen, Samuel Kaski |
| 2017 | Learning Convolutional Neural Networks using Hybrid Orthogonal Projection and Estimation. | Hengyue Pan, Hui Jiang |
| 2017 | Locally Smoothed Neural Networks. | Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng |
| 2017 | Regret for Expected Improvement over the Best-Observed Value and Stopping Condition. | Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh |
| 2017 | Nested LSTMs. | Joel Ruben Antony Moniz, David Krueger |
| 2017 | Pyramid Person Matching Network for Person Re-identification. | Chaojie Mao, Yingming Li, Zhongfei Zhang, Yaqing Zhang, Xi Li |
| 2017 | Semi-supervised Convolutional Neural Networks for Identifying Wi-Fi Interference Sources. | Krista Longi, Teemu Pulkkinen, Arto Klami |
| 2017 | PHD: A Probabilistic Model of Hybrid Deep Collaborative Filtering for Recommender Systems. | Jie Liu, Dong Wang, Yue Ding |
| 2017 | Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices. | Yi Li, Aidong Adam Ding, Jennifer G. Dy |
| 2017 | Recognizing Art Style Automatically in Painting with Deep Learning. | Adrian Lecoutre, Benjamin Ngrevergne, Florian Yger |
| 2017 | Probability Calibration Trees. | Tim Leathart, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer |
| 2017 | Radical-level Ideograph Encoder for RNN-based Sentiment Analysis of Chinese and Japanese. | Yuanzhi Ke, Masafumi Hagiwara |
| 2017 | Learning Deep Semantic Embeddings for Cross-Modal Retrieval. | Cuicui Kang, Shengcai Liao, Zhen Li, Zigang Cao, Gang Xiong |
| 2017 | Attentive Path Combination for Knowledge Graph Completion. | Xiaotian Jiang, Quan Wang, Baoyuan Qi, Yongqin Qiu, Peng Li, Bin Wang |
| 2017 | A Study on Trust Region Update Rules in Newton Methods for Large-scale Linear Classification. | Chih-Yang Hsia, Ya Zhu, Chih-Jen Lin |
| 2017 | Accumulated Gradient Normalization. | Joeri R. Hermans, Gerasimos Spanakis, Rico Mckel |
| 2017 | Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks. | Magda Gregorov, Alexandros Kalousis, Stphane Marchand-Maillet |
| 2017 | One Class Splitting Criteria for Random Forests. | Nicolas Goix, Nicolas Drougard, Romain Brault, Mal Chiapino |
| 2017 | Limits of End-to-End Learning. | Tobias Glasmachers |
| 2017 | Select-and-Evaluate: A Learning Framework for Large-Scale Knowledge Graph Search. | F. A. Rezaur Rahman Chowdhury, Chao Ma, Md. Rakibul Islam, Mohammad Hossein Namaki, Mohammad Omar Faruk, Janardhan Rao Doppa |