Papers
Action Space Learning for Heterogeneous User Behavior Prediction
Dongha Lee, Chanyoung Park, Hyunjun Ju et al.
ActiveHNE: Active Heterogeneous Network Embedding
Xia Chen, Guoxian Yu, Jun Wang et al.
Active Learning within Constrained Environments through Imitation of an Expert Questioner
Kalesha Bullard, Yannick Schroecker, Sonia Chernova
AdaLinUCB: Opportunistic Learning for Contextual Bandits
Xueying Guo, Xiaoxiao Wang, Xin Liu
Adapting BERT for Target-Oriented Multimodal Sentiment Classification
Jianfei Yu, Jing Jiang
Adaptive Ensemble Active Learning for Drifting Data Stream Mining
Bartosz Krawczyk, Alberto Cano
Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning
Thomy Phan, Thomas Gabor, Robert Müller et al.
Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation
Zeping Yu, Jianxun Lian, Ahmad Mahmoody et al.
AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN
Li Zheng, Zhenpeng Li, Jian Li et al.
Addressing Age-Related Bias in Sentiment Analysis
Mark Díaz, Isaac Johnson, Amanda Lazar et al.
A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data
Mingyang Zhang, Tong Li, Hongzhi Shi et al.
A Deep Bi-directional Attention Network for Human Motion Recovery
Qiongjie Cui, Huaijiang Sun, Yupeng Li et al.
A Deep Generative Model for Code Switched Text
Bidisha Samanta, Sharmila Reddy, Hussain Jagirdar et al.
A Degeneracy Framework for Scalable Graph Autoencoders
Guillaume Salha, Romain Hennequin, Viet Anh Tran et al.
Ad Hoc Teamwork With Behavior Switching Agents
Manish Ravula, Shani Alkoby, Peter Stone
A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots
Xueliang Zhao, Chongyang Tao, Wei Wu et al.
A Dual Approach to Verify and Train Deep Networks
Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth et al.
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer
Fuli Luo, Peng Li, Jie Zhou et al.
Advantage Amplification in Slowly Evolving Latent-State Environments
Martin Mladenov, Ofer Meshi, Jayden Ooi et al.
Adversarial Attacks on Neural Networks for Graph Data
Daniel Zügner, Amir Akbarnejad, Stephan Günnemann
Adversarial Examples for Graph Data: Deep Insights into Attack and Defense
Huijun Wu, Chen Wang, Yuriy Tyshetskiy et al.
Adversarial Graph Embedding for Ensemble Clustering
Zhiqiang Tao, Hongfu Liu, Jun Li et al.
Adversarial Imitation Learning from Incomplete Demonstrations
Mingfei Sun, Xiaojuan Ma
Adversarial Incomplete Multi-view Clustering
Cai Xu, Ziyu Guan, Wei Zhao et al.