Papers
20,003 papers found
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
LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion
Fanshuang Kong, Richong Zhang, Yongyi Mao et al.
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin
Ke Ma, Qianqian Xu, Zhiyong Yang et al.
Leveraging Observations in Bandits: Between Risks and Benefits
Andrei Lupu, Audrey Durand, Doina Precup
Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols
Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser et al.
Leveraging Web Semantic Knowledge in Word Representation Learning
Haoyan Liu, Lei Fang, Jian-Guang Lou et al.
Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and Delivery
Hang Ma, Wolfgang Hönig, T. K. Satish Kumar et al.
Lifted Hinge-Loss Markov Random Fields
Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi et al.
Lifted Proximal Operator Machines
Jia Li, Cong Fang, Zhouchen Lin
Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data
Lizhong Ding, Zhi Liu, Yu Li et al.
Linking Educational Resources on Data Science
José Luis Ambite, Jonathan Gordon, Lily Fierro et al.