Papers
Pyramid Person Matching Network for Person Re-identification
Chaojie Mao, Yingming Li, Zhongfei Zhang et al.
Learning Deep Semantic Embeddings for Cross-Modal Retrieval
Cuicui Kang, Shengcai Liao, Zhen Li et al.
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings
Sami Remes, Markus Heinonen, Samuel Kaski
Accumulated Gradient Normalization
Joeri R. Hermans, Gerasimos Spanakis, Rico Möckel
A Word Embeddings Informed Focused Topic Model
He Zhao, Lan Du, Wray Buntine
Magnitude-Preserving Ranking for Structured Outputs
Céline Brouard, Eric Bach, Sebastian Böcker et al.
Semi-supervised Convolutional Neural Networks for Identifying Wi-Fi Interference Sources
Krista Longi, Teemu Pulkkinen, Arto Klami
Whitening-Free Least-Squares Non-Gaussian Component Analysis
Hiroaki Shiino, Hiroaki Sasaki, Gang Niu et al.
Computer Assisted Composition with Recurrent Neural Networks
Christian Walder, Dongwoo Kim
One Class Splitting Criteria for Random Forests
Nicolas Goix, Nicolas Drougard, Romain Brault et al.
Recognizing Art Style Automatically in Painting with Deep Learning
Adrian Lecoutre, Benjamin Negrevergne, Florian Yger
Using Deep Neural Networks to Automate Large Scale Statistical Analysis for Big Data Applications
Rongrong Zhang, Wei Deng, Michael Yu Zhu
Scale-Invariant Recognition by Weight-Shared CNNs in Parallel
Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara
Regret for Expected Improvement over the Best-Observed Value and Stopping Condition
Vu Nguyen, Sunil Gupta, Santu Rana et al.
Deep Competitive Pathway Networks
Jia-Ren Chang, Yong-Sheng Chen
ST-GAN: Unsupervised Facial Image Semantic Transformation Using Generative Adversarial Networks
Jichao Zhang, Fan Zhong, Gongze Cao et al.
Adaptive Sampling Scheme for Learning in Severely Imbalanced Large Scale Data
Wei Zhang, Said Kobeissi, Scott Tomko et al.
PHD: A Probabilistic Model of Hybrid Deep Collaborative Filtering for Recommender Systems
Jie Liu, Dong Wang, Yue Ding
Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices
Yi Li, Aidong Adam Ding, Jennifer Dy
Data sparse nonparametric regression with $ε$-insensitive losses
Maxime Sangnier, Olivier Fercoq, Florence d’Alché-Buc
Locally Smoothed Neural Networks
Liang Pang, Yanyan Lan, Jun Xu et al.
Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks
Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet
Probability Calibration Trees
Tim Leathart, Eibe Frank, Geoffrey Holmes et al.
Select-and-Evaluate: A Learning Framework for Large-Scale Knowledge Graph Search
F A Rezaur Rahman Chowdhury, Chao Ma, Md Rakibul Islam et al.
Multi-view Clustering with Adaptively Learned Graph
Hong Tao, Chenping Hou, Jubo Zhu et al.