Papers
734 papers found
LADet: A Light-weight and Adaptive Network for Multi-scale Object Detection
Jiaming Zhou, Yuqiao Tian, Weicheng Li et al.
Latent Multi-view Semi-Supervised Classification
Xiaofan Bo, Zhao Kang, Zhitong Zhao et al.
Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA
Vitalik Melnikov, Eyke Hüllermeier
Learning to Augment with Feature Side-information
Amina Mollaysa, Alexandros Kalousis, Eric Bruno et al.
Learning to Sample Hard Instances for Graph Algorithms
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Learning Weighted Top-$k$ Support Vector Machine
Tsuyoshi Kato, Yoshihiro Hirohashi
Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation
Kenta Konagayoshi, Kazuho Watanabe
Model-Based Reinforcement Learning Exploiting State-Action Equivalence
Mahsa Asadi, Mohammad Sadegh Talebi, Hippolyte Bourel et al.
Multi-branch Siamese Network for High Performance Online Visual Tracking
Junfei Zhuang, Yuan Dong, Hongliang Bai et al.
Multi-Label Learning with Regularization Enriched Label-Specific Features
Ze-Sen Chen, Min-Ling Zhang
Multi-modal Representation Learning for Successive POI Recommendation
Lishan Li, Ying Liu, Jianping Wu et al.
Multiple Empirical Kernel Learning with Discriminant Locality Preservation
Bolu Wang, Dongdong Li, Zhe Wang
Multi-Scale Visual Semantics Aggregation with Self-Attention for End-to-End Image-Text Matching
Zhuobin Zheng, Youcheng Ben, Chun Yuan
Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders
Yunxiao Wang, Zheng Liu, Di Hu et al.
Multi-width Activation and Multiple Receptive Field Networks for Dynamic Scene Deblurring
Jinkai Cui, Weihong Li, Wei Guo et al.
Nuclei segmentation by using convolutional network with distance map and contour information
Xiaoming Liu, Zhengsheng Guo, Bo Li et al.
Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter
Puja Sahu, Nandyala Hemachandra
Prediction of Crowd Flow in City Complex with Missing Data
Shiyang Qiu, Peng Xu, Wei Zheng et al.
Random Projection in Neural Episodic Control
Daichi Nishio, Satoshi Yamane
Realistic Image Generation using Region-phrase Attention
Wanming Huang, Richard Yi Da Xu, Ian Oppermann
Real-time tree search with pessimistic scenarios: Winning the NeurIPS 2018 Pommerman Competition
Takayuki Osogami, Toshihiro Takahashi
Regularizing Neural Networks via Stochastic Branch Layers
Wonpyo Park, Paul Hongsuck Seo, Bohyung Han et al.
ResNet and Batch-normalization Improve Data Separability
Yasutaka Furusho, Kazushi Ikeda
SDC-causing Error Detection Based on Lightweight Vulnerability Prediction
Cheng Liu, Jingjing Gu, Zujia Yan et al.
Self-Paced Multi-Label Learning with Diversity
Seyed Amjad Seyedi, S. Siamak Ghodsi, Fardin Akhlaghian et al.