Papers
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing
Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki
Efficient Data Point Pruning for One-Class SVM
Yasuhiro Fujiwara, Sekitoshi Kanai, Junya Arai et al.
Combined Reinforcement Learning via Abstract Representations
Vincent Francois-Lavet, Yoshua Bengio, Doina Precup et al.
The Goldilocks Zone: Towards Better Understanding of Neural Network Loss Landscapes
Stanislav Fort, Adam Scherlis
Transductive Bounds for the Multi-Class Majority Vote Classifier
Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
Hypergraph Neural Networks
Yifan Feng, Haoxuan You, Zizhao Zhang et al.
Collaboration Based Multi-Label Learning
Lei Feng, Bo An, Shuo He
Partial Label Learning with Self-Guided Retraining
Lei Feng, Bo An
Unsupervised Feature Selection by Pareto Optimization
Chao Feng, Chao Qian, Ke Tang
Improved Knowledge Graph Embedding Using Background Taxonomic Information
Bahare Fatemi, Siamak Ravanbakhsh, David Poole
Partial Multi-Label Learning via Credible Label Elicitation
Jun-Peng Fang, Min-Ling Zhang
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation
Lijie Fan, Wenbing Huang, Chuang Gan et al.
Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection
Qing En, Lijuan Duan, Zhaoxiang Zhang et al.
How to Combine Tree-Search Methods in Reinforcement Learning
Yonathan Efroni, Gal Dalal, Bruno Scherrer et al.
Single-Label Multi-Class Image Classification by Deep Logistic Regression
Qi Dong, Xiatian Zhu, Shaogang Gong
Multistream Classification with Relative Density Ratio Estimation
Bo Dong, Yang Gao, Swarup Chandra et al.
On-Line Adaptative Curriculum Learning for GANs
Thang Doan, João Monteiro, Isabela Albuquerque et al.
Approximate Kernel Selection with Strong Approximate Consistency
Lizhong Ding, Yong Liu, Shizhong Liao et al.
Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data
Lizhong Ding, Zhi Liu, Yu Li et al.
Balanced Linear Contextual Bandits
Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey et al.
Inverse Abstraction of Neural Networks Using Symbolic Interpolation
Sumanth Dathathri, Sicun Gao, Richard M. Murray
Learning Segmentation Masks with the Independence Prior
Songmin Dai, Xiaoqiang Li, Lu Wang et al.
Efficient Online Learning for Mapping Kernels on Linguistic Structures
Giovanni Da San Martino, Alessandro Sperduti, Fabio Aiolli et al.
Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks
Eric Crawford, Joelle Pineau
Diverse Exploration via Conjugate Policies for Policy Gradient Methods
Andrew Cohen, Xingye Qiao, Lei Yu et al.