Papers
Multi-Class Learning using Unlabeled Samples: Theory and Algorithm
Jian Li, Yong Liu, Rong Yin et al.
Hierarchical Representation Learning for Bipartite Graphs
Chong Li, Kunyang Jia, Dan Shen et al.
A Review-Driven Neural Model for Sequential Recommendation
Chenliang Li, Xichuan Niu, Xiangyang Luo et al.
Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model
Chang Li, Maarten de Rijke
Differentially Private Optimal Transport: Application to Domain Adaptation
Nam LeTien, Amaury Habrard, Marc Sebban
Similarity Preserving Representation Learning for Time Series Clustering
Qi Lei, Jinfeng Yi, Roman Vaculin et al.
Learning Shared Knowledge for Deep Lifelong Learning using Deconvolutional Networks
Seungwon Lee, James Stokes, Eric Eaton
Action Space Learning for Heterogeneous User Behavior Prediction
Dongha Lee, Chanyoung Park, Hyunjun Ju et al.
Learning Generative Adversarial Networks from Multiple Data Sources
Trung Le, Quan Hoang, Hung Vu et al.
Learning Multiple Maps from Conditional Ordinal Triplets
Dung D. Le, Hady W. Lauw
Correlation-Sensitive Next-Basket Recommendation
Duc-Trong Le, Hady W. Lauw, Yuan Fang
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations
Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala et al.
Meta Reinforcement Learning with Task Embedding and Shared Policy
Lin Lan, Zhenguo Li, Xiaohong Guan et al.
Perturbed-History Exploration in Stochastic Multi-Armed Bandits
Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh et al.
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models
Nupur Kumari, Mayank Singh, Abhishek Sinha et al.
Learning Sound Events from Webly Labeled Data
Anurag Kumar, Ankit Shah, Alexander Hauptmann et al.
Adaptive Ensemble Active Learning for Drifting Data Stream Mining
Bartosz Krawczyk, Alberto Cano
Autoregressive Policies for Continuous Control Deep Reinforcement Learning
Dmytro Korenkevych, A. Rupam Mahmood, Gautham Vasan et al.
Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks
Qiuqiang Kong, Yong Xu, Philip J. B. Jackson et al.
Sequential and Diverse Recommendation with Long Tail
Yejin Kim, Kwangseob Kim, Chanyoung Park et al.
DeepMellow: Removing the Need for a Target Network in Deep Q-Learning
Seungchan Kim, Kavosh Asadi, Michael Littman et al.
Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
Tung Kieu, Bin Yang, Chenjuan Guo et al.
What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features
Pasha Khosravi, Yitao Liang, YooJung Choi et al.
Multiple Partitions Aligned Clustering
Zhao Kang, Zipeng Guo, Shudong Huang et al.