Papers
Robust Learning from Noisy Side-information by Semidefinite Programming
En-Liang Hu, Quanming Yao
Learning Topic Models by Neighborhood Aggregation
Ryohei Hisano
Online Learning from Capricious Data Streams: A Generative Approach
Yi He, Baijun Wu, Di Wu et al.
Deliberation Learning for Image-to-Image Translation
Tianyu He, Yingce Xia, Jianxin Lin et al.
One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Networks
Tao He, Yuan-Fang Li, Lianli Gao et al.
Deep Active Learning with Adaptive Acquisition
Manuel Haussmann, Fred Hamprecht, Melih Kandemir
Network Embedding under Partial Monitoring for Evolving Networks
Yu Han, Jie Tang, Qian Chen
Attribute Aware Pooling for Pedestrian Attribute Recognition
Kai Han, Yunhe Wang, Han Shu et al.
Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes
Jiyeon Han, Kyowoon Lee, Anh Tong et al.
MineRL: A Large-Scale Dataset of Minecraft Demonstrations
William H. Guss, Brandon Houghton, Nicholay Topin et al.
Landmark Selection for Zero-shot Learning
Yuchen Guo, Guiguang Ding, Jungong Han et al.
Zero-shot Learning with Many Classes by High-rank Deep Embedding Networks
Yuchen Guo, Guiguang Ding, Jungong Han et al.
AdaLinUCB: Opportunistic Learning for Contextual Bandits
Xueying Guo, Xiaoxiao Wang, Xin Liu
Affine Equivariant Autoencoder
Xifeng Guo, En Zhu, Xinwang Liu et al.
Discriminative Sample Generation for Deep Imbalanced Learning
Ting Guo, Xingquan Zhu, Yang Wang et al.
SPINE: Structural Identity Preserved Inductive Network Embedding
Junliang Guo, Linli Xu, Jingchang Liu
Sketched Iterative Algorithms for Structured Generalized Linear Models
Qilong Gu, Arindam Banerjee
Using Natural Language for Reward Shaping in Reinforcement Learning
Prasoon Goyal, Scott Niekum, Raymond J. Mooney
Efficient Regularization Parameter Selection for Latent Variable Graphical Models via Bi-Level Optimization
Joachim Giesen, Frank Nussbaum, Christopher Schneider
Perception-Aware Point-Based Value Iteration for Partially Observable Markov Decision Processes
Mahsa Ghasemi, Ufuk Topcu
Scalable Semi-Supervised SVM via Triply Stochastic Gradients
Xiang Geng, Bin Gu, Xiang Li et al.
Fully Distributed Bayesian Optimization with Stochastic Policies
Javier Garcia-Barcos, Ruben Martinez-Cantin
Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation
Yang Gao, Christian M. Meyer, Mohsen Mesgar et al.
RecoNet: An Interpretable Neural Architecture for Recommender Systems
Francesco Fusco, Michalis Vlachos, Vasileios Vasileiadis et al.