Papers
Learning Personalized End-to-End Goal-Oriented Dialog
Liangchen Luo, Wenhao Huang, Qi Zeng et al.
Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization
Kejing Yin, Dong Qian, William K. Cheung et al.
Learning Plackett-Luce Mixtures from Partial Preferences
Ao Liu, Zhibing Zhao, Chao Liao et al.
Learning Representations in Model-Free Hierarchical Reinforcement Learning
Jacob Rafati, David C. Noelle
Learning Resolution-Invariant Deep Representations for Person Re-Identification
Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du et al.
Learning Resource Allocation and Pricing for Cloud Profit Maximization
Bingqian Du, Chuan Wu, Zhiyi Huang
Learning Segmentation Masks with the Independence Prior
Songmin Dai, Xiaoqiang Li, Lu Wang et al.
Learning Semantic Representations for Novel Words: Leveraging Both Form and Context
Timo Schick, Hinrich Schütze
Learning Set Functions with Limited Complementarity
Hanrui Zhang
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 Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks
Shizhu He, Kang Liu, Weiting An
Learning to Communicate and Solve Visual Blocks-World Tasks
Qi Zhang, Richard Lewis, Satinder Singh et al.
Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning
Xin Wang, Jiawei Wu, Da Zhang et al.
Learning to Embed Sentences Using Attentive Recursive Trees
Jiaxin Shi, Lei Hou, Juanzi Li et al.
Learning to Localize Objects with Noisy Labeled Instances
Xiaopeng Zhang, Yang Yang, Jiashi Feng
Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP
Marcelo Prates, Pedro H. C. Avelar, Henrique Lemos et al.
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks
Yuenan Hou, Zheng Ma, Chunxiao Liu et al.
Learning to Teach in Cooperative Multiagent Reinforcement Learning
Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu et al.
Learning to Transfer Relational Representations through Analogy
Gaetano Rossiello, Alfio Gliozzo, Michael Glass
Learning to Write Stories with Thematic Consistency and Wording Novelty
Juntao Li, Lidong Bing, Lisong Qiu 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 Triggers for Heterogeneous Treatment Effects
Christopher Tran, Elena Zheleva
Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially
Yudong Zhang, Wenhao Zheng, Ming Li
Learning Vine Copula Models for Synthetic Data Generation
Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni