Papers
Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction
Vishal Jain, William Fedus, Hugo Larochelle et al.
Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data
Songlei Jian, Liang Hu, Longbing Cao et al.
Maximum Margin Multi-Dimensional Classification
Bin-Bin Jia, Min-Ling Zhang
Sequential Recommendation with Relation-Aware Kernelized Self-Attention
Mingi Ji, Weonyoung Joo, Kyungwoo Song et al.
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets
Yonghyun Jeong, Hyunjin Choi, Byoungjip Kim et al.
An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks
Giyoung Jeon, Haedong Jeong, Jaesik Choi
Bounding Regret in Empirical Games
Steven Jecmen, Arunesh Sinha, Zun Li et al.
Invariant Representations through Adversarial Forgetting
Ayush Jaiswal, Daniel Moyer, Greg Ver Steeg et al.
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles
Siddhartha Jain, Ge Liu, Jonas Mueller et al.
Class Prior Estimation with Biased Positives and Unlabeled Examples
Shantanu Jain, Justin Delano, Himanshu Sharma et al.
Co-Occurrence Estimation from Aggregated Data with Auxiliary Information
Tomoharu Iwata, Naoki Marumo
Semi-Supervised Learning for Maximizing the Partial AUC
Tomoharu Iwata, Akinori Fujino, Naonori Ueda
Word-Level Contextual Sentiment Analysis with Interpretability
Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji et al.
Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization
Xuan Huo, Ming Li, Zhi-Hua Zhou
Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning
Binyuan Hui, Pengfei Zhu, Qinghua Hu
DIANet: Dense-and-Implicit Attention Network
Zhongzhan Huang, Senwei Liang, Mingfu Liang et al.
Meta-Learning PAC-Bayes Priors in Model Averaging
Yimin Huang, Weiran Huang, Liang Li et al.
Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks
Ranran Huang, Hanbo Sun, Ji Liu et al.
Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks
Qiang Huang, Tingyu Xia, Huiyan Sun et al.
DWM: A Decomposable Winograd Method for Convolution Acceleration
Di Huang, Xishan Zhang, Rui Zhang et al.
Towards Interpretation of Pairwise Learning
Mengdi Huai, Di Wang, Chenglin Miao et al.
Query-Driven Multi-Instance Learning
Yen-Chi Hsu, Cheng-Yao Hong, Ming-Sui Lee et al.
TellTail: Fast Scoring and Detection of Dense Subgraphs
Bryan Hooi, Kijung Shin, Hemank Lamba et al.
End-to-End Unpaired Image Denoising with Conditional Adversarial Networks
Zhiwei Hong, Xiaocheng Fan, Tao Jiang et al.
An Attention-Based Graph Neural Network for Heterogeneous Structural Learning
Huiting Hong, Hantao Guo, Yucheng Lin et al.