Papers
Learning to Stop in Structured Prediction for Neural Machine Translation
Mingbo Ma, Renjie Zheng, Liang Huang
Learning to Synthesize Motion Blur
Tim Brooks, Jonathan T. Barron
Learning to Teach in Cooperative Multiagent Reinforcement Learning
Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu et al.
Learning to Transfer Examples for Partial Domain Adaptation
Zhangjie Cao, Kaichao You, Mingsheng Long et al.
Learning to Transfer Relational Representations through Analogy
Gaetano Rossiello, Alfio Gliozzo, Michael Glass
Learning to Understand Goal Specifications by Modelling Reward
Dzmitry Bahdanau, Felix Hill, Jan Leike et al.
Learning to Update Knowledge Graphs by Reading News
Jizhi Tang, Yansong Feng, Dongyan Zhao
Learning to Update Knowledge Graphs by Reading News
Jizhi Tang, Yansong Feng, Dongyan Zhao
Learning to Walk Via Deep Reinforcement Learning
Tuomas Haarnoja, Sehoon Ha, Aurick Zhou et al.
Learning towards Abstractive Timeline Summarization
Xiuying Chen, Zhangming Chan, Shen Gao et al.
Learning to Write Stories with Thematic Consistency and Wording Novelty
Juntao Li, Lidong Bing, Lisong Qiu et al.
Learning Trajectory Dependencies for Human Motion Prediction
Wei Mao, Miaomiao Liu, Mathieu Salzmann et al.
Learning Transferable Feature Representations Using Neural Networks
Himanshu Sharad Bhatt, Shourya Roy, Arun Rajkumar et al.
Learning Transferable Graph Exploration
Hanjun Dai, Yujia Li, Chenglong Wang et al.
Learning Transferable Self-Attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision
Xiao-Yu Zhang, Haichao Shi, Changsheng Li et al.
Learning Transformation Synchronization
Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou et al.
Learning Tree Structures from Noisy Data
Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate
Learning Triggers for Heterogeneous Treatment Effects
Christopher Tran, Elena Zheleva
Learning Trilingual Dictionaries for Urdu – Roman Urdu – English
Moiz Rauf, Sebastian Padó
2019
ACL
Learning Two-layer Neural Networks with Symmetric Inputs
Rong Ge, Rohith Kuditipudi, Zhize Li et al.
Learning Two Layer Rectified Neural Networks in Polynomial Time
Ainesh Bakshi, Rajesh Jayaram, David P Woodruff
Learning Two-View Correspondences and Geometry Using Order-Aware Network
Jiahui Zhang, Dawei Sun, Zixin Luo et al.
Learning Unfaithful $K$-separable Gaussian Graphical Models
De Wen Soh, Sekhar Tatikonda
Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially
Yudong Zhang, Wenhao Zheng, Ming Li
Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs
Geert Heyman, Bregt Verreet, Ivan Vulić et al.