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• Generalized Hidden Parameter MDPs:Transferable Model-Based RL in a Handful of Trials

  Christian Perez, Felipe Petroski Such, Theofanis Karaletsos

  5403-5411

  2020-04-03

• Temporal Network Embedding with High-Order Nonlinear Information

  Zhenyu Qiu, Wenbin Hu, Jia Wu, Weiwei Liu, Bo Du, Xiaohua Jia

  5436-5443

  2020-04-03

• Synthesizing Action Sequences for Modifying Model Decisions

  Goutham Ramakrishnan, Yun Chan Lee, Aws Albarghouthi

  5462-5469

  2020-04-03

• On the Role of Weight Sharing During Deep Option Learning

  Matthew Riemer, Ignacio Cases, Clemens Rosenbaum, Miao Liu, Gerald Tesauro

  5519-5526

  2020-04-03

• Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms

  Qi Lou, Rina Dechter, Alexander Ihler

  7900-7907

  2019-07-17

• Meta-Learning for Generalized Zero-Shot Learning

  Vinay Kumar Verma, Dhanajit Brahma, Piyush Rai

  6062-6069

  2020-04-03

• Justification-Based Reliability in Machine Learning

  Nurali Virani, Naresh Iyer, Zhaoyuan Yang

  6078-6085

  2020-04-03

• Less Is Better: Unweighted Data Subsampling via Influence Function

  Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang

  6340-6347

  2020-04-03

• Dual Adversarial Co-Learning for Multi-Domain Text Classification

  Yuan Wu, Yuhong Guo

  6438-6445

  2020-04-03

• Not All Attention Is Needed: Gated Attention Network for Sequence Data

  Lanqing Xue, Xiaopeng Li, Nevin L. Zhang

  6550-6557

  2020-04-03

• Active Learning with Query Generation for Cost-Effective Text Classification

  Yi-Fan Yan, Sheng-Jun Huang, Shaoyi Chen, Meng Liao, Jin Xu

  6583-6590

  2020-04-03

• Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations

  Zhaoyi Yan, Yemin Shi, Yaowei Wang, Mingkui Tan, Zheyang Li, Wenming Tan, Yonghong Tian

  6591-6598

  2020-04-03

• Variational Inference for Sparse Gaussian Process Modulated Hawkes Process

  Rui Zhang, Christian Walder, Marian-Andrei Rizoiu

  6803-6810

  2020-04-03

• An Ordinal Data Clustering Algorithm with Automated Distance Learning

  Yiqun Zhang, Yiu-ming Cheung

  6869-6876

  2020-04-03

• An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training

  Hao Zheng, Yizhe Zhang, Lin Yang, Chaoli Wang, Danny Z. Chen

  6925-6932

  2020-04-03

• A Knowledge-Aware Attentional Reasoning Network for Recommendation

  Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo

  6999-7006

  2020-04-03

• How the Duration of the Learning Period Affects the Performance of Random Gradient Selection Hyper-Heuristics

  Andrei Lissovoi, Pietro Oliveto, John Alasdair Warwicker

  2376-2383

  2020-04-03

• Subset Selection by Pareto Optimization with Recombination

  Chao Qian, Chao Bian, Chao Feng

  2408-2415

  2020-04-03

• Explainable Reinforcement Learning through a Causal Lens

  Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere

  2493-2500

  2020-04-03

• HirePeer: Impartial Peer-Assessed Hiring at Scale in Expert Crowdsourcing Markets

  Yasmine Kotturi, Anson Kahng, Ariel Procaccia, Chinmay Kulkarni

  2577-2584

  2020-04-03

• MIMAMO Net: Integrating Micro- and Macro-Motion for Video Emotion Recognition

  Didan Deng, Zhaokang Chen, Yuqian Zhou, Bertram Shi

  2621-2628

  2020-04-03

• Crowd-Assisted Disaster Scene Assessment with Human-AI Interactive Attention

  Daniel (Yue) Zhang, Yifeng Huang, Yang Zhang, Dong Wang

  2717-2724

  2020-04-03

• Query Rewriting for Ontology-Mediated Conditional Answers

  Medina Andresel, Magdalena Ortiz, Mantas Simkus

  2734-2741

  2020-04-03

• Hypothetical Answers to Continuous Queries over Data Streams

  Luís Cruz-Filipe, Isabel Nunes, Graça Gaspar

  2798-2805

  2020-04-03

• Structural Decompositions of Epistemic Logic Programs

  Markus Hecher, Michael Morak, Stefan Woltran

  2830-2837

  2020-04-03