Papers
Learning Task-Specific Representation for Novel Words in Sequence Labeling
Minlong Peng, Qi Zhang, Xiaoyu Xing et al.
Learning Temporal Action Proposals With Fewer Labels
Jingwei Ji, Kaidi Cao, Juan Carlos Niebles
Learning Temporal Clusters Using Capsule Routing for Speech Emotion Recognition
Md. Asif Jalal, Erfan Loweimi, Roger K. Moore et al.
Learning Temporal Pose Estimation from Sparsely-Labeled Videos
Gedas Bertasius, Christoph Feichtenhofer, Du Tran et al.
Learning the Depths of Moving People by Watching Frozen People
Zhengqi Li, Tali Dekel, Forrester Cole et al.
Learning the Dyck Language with Attention-based Seq2Seq Models
Xiang Yu, Ngoc Thang Vu, Jonas Kuhn
Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning
Xiangrong Zeng, Shizhu He, Daojian Zeng et al.
Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning
Xiangrong Zeng, Shizhu He, Daojian Zeng et al.
Learning the Model Update for Siamese Trackers
Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer et al.
Learning the Structure of a Nonstationary Vector Autoregression
Daniel Malinsky, Peter Spirtes
Learning to Abstract for Memory-augmented Conversational Response Generation
Zhiliang Tian, Wei Bi, Xiaopeng Li et al.
Learning to Adapt for Stereo
Alessio Tonioni, Oscar Rahnama, Thomas Joy et al.
Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning
Anusha Nagabandi, Ignasi Clavera, Simin Liu et al.
Learning to Adaptively Scale Recurrent Neural Networks
Hao Hu, Liqiang Wang, Guo-Jun Qi
Learning to Address Health Inequality in the United States with a Bayesian Decision Network
Tavpritesh Sethi, Anant Mittal, Shubham Maheshwari et al.
Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA
Vitalik Melnikov, Eyke Hüllermeier
Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks
Shizhu He, Kang Liu, Weiting An
Learning to Ask for Conversational Machine Learning
Shashank Srivastava, Igor Labutov, Tom Mitchell
Learning to Ask for Conversational Machine Learning
Shashank Srivastava, Igor Labutov, Tom Mitchell
Learning to Ask Unanswerable Questions for Machine Reading Comprehension
Haichao Zhu, Li Dong, Furu Wei et al.
Learning to Assemble Neural Module Tree Networks for Visual Grounding
Daqing Liu, Hanwang Zhang, Feng Wu et al.
Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering
Jianmo Ni, Chenguang Zhu, Weizhu Chen et al.
Learning to Augment with Feature Side-information
Amina Mollaysa, Alexandros Kalousis, Eric Bruno et al.
Learning to bid in revenue-maximizing auctions
Thomas Nedelec, Noureddine El Karoui, Vianney Perchet
Learning to Bootstrap for Entity Set Expansion
Lingyong Yan, Xianpei Han, Le Sun et al.