Papers
Adaptive truncated residual regression for fine-grained regression problems
Hirotaka Hachiya, Yu Yamamoto, Kazuro Hirahara et al.
Multi-width Activation and Multiple Receptive Field Networks for Dynamic Scene Deblurring
Jinkai Cui, Weihong Li, Wei Guo et al.
Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates
Vidyadhar Upadhya, P S Sastry
Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification
Bahram K. Baloch, Sateesh Kumar, Sanjay Haresh et al.
Software Component Prediction for Bug Reports
Wei Zhang, Chris Challis
Self-Paced Multi-Label Learning with Diversity
Seyed Amjad Seyedi, S. Siamak Ghodsi, Fardin Akhlaghian et al.
Learning Weighted Top-k Support Vector Machine
Tsuyoshi Kato, Yoshihiro Hirohashi
Prediction of Crowd Flow in City Complex with Missing Data
Shiyang Qiu, Peng Xu, Wei Zheng et al.
A New Multi-choice Reading Comprehension Dataset for Curriculum Learning
Yichan Liang, Jianheng Li, Jian Yin
Convolutional Neural Collaborative Filtering with Stacked Embeddings
Liu Han, Hailong Wu, Nan Hu et al.
Improving Statute Prediction via Mining Correlations between Statutes
Yi Feng, Chuanyi Li, Jidong Ge et al.
SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA
Satoshi Hara, Weichih Chen, Takashi Washio et al.
Regularizing Neural Networks via Stochastic Branch Layers
Wonpyo Park, Paul Hongsuck Seo, Bohyung Han et al.
A Generalization Bound for Online Variational Inference
Badr-Eddine Chérief-Abdellatif, Pierre Alquier, Mohammad Emtiyaz Khan
Text Length Adaptation in Sentiment Classification
Reinald Kim Amplayo, Seonjae Lim, Seung-won Hwang
An Anchor-Free Oriented Text Detector with Connectionist Text Proposal Network
Chenhui Huang, Jinhua Xu
Investigating the effect of novel classes in semi-supervised learning
Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle et al.
Variational Inference from Ranked Samples with Features
Yuan Guo, Jennifer Dy, Deniz Erdoğmuş et al.
Real-time tree search with pessimistic scenarios: Winning the NeurIPS 2018 Pommerman Competition
Takayuki Osogami, Toshihiro Takahashi
Self-Weighted Multi-View Clustering with Deep Matrix Factorization
Beilei Cui, Hong Yu, Tiantian Zhang et al.
Canonical Soft Time Warping
Keisuke Kawano, Satoshi Koide, Takuro Kutsuna
Exemplar Based Mixture Models with Censored Data
Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda
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