Papers
A Gated Self-attention Memory Network for Answer Selection
Tuan Lai, Quan Hung Tran, Trung Bui et al.
A Gated Self-attention Memory Network for Answer Selection
Tuan Lai, Quan Hung Tran, Trung Bui et al.
AGEM: Solving Linear Inverse Problems via Deep Priors and Sampling
Bichuan Guo, Yuxing Han, Jiangtao Wen
A General and Adaptive Robust Loss Function
Jonathan T. Barron
A general framework for information extraction using dynamic span graphs
Yi Luan, Dave Wadden, Luheng He et al.
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes
Jialin Song, Yuxin Chen, Yisong Yue
A General Framework for Symmetric Property Estimation
Moses Charikar, Kirankumar Shiragur, Aaron Sidford
A Generalization Bound for Online Variational Inference
Badr-Eddine Chérief-Abdellatif, Pierre Alquier, Mohammad Emtiyaz Khan
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation
Runzhe Yang, Xingyuan Sun, Karthik Narasimhan
A Generalized Idiom Usage Recognition Model Based on Semantic Compatibility
Changsheng Liu, Rebecca Hwa
A Generalized Language Model in Tensor Space
Lipeng Zhang, Peng Zhang, Xindian Ma et al.
A General Planning-Based Framework for Goal-Driven Conversation Assistant
Zhuoxuan Jiang, Jie Ma, Jingyi Lu et al.
A General-Purpose Algorithm for Constrained Sequential Inference
Daniel Deutsch, Shyam Upadhyay, Dan Roth
A General-Purpose Annotation Model for Knowledge Discovery: Case Study in Spanish Clinical Text
Alejandro Piad-Morffis, Yoan Guitérrez, Suilan Estevez-Velarde et al.
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S Cohen, Mario Geiger, Maurice Weiler
A Generative Adversarial Density Estimator
M. Ehsan Abbasnejad, Qinfeng Shi, Anton van den Hengel et al.
A Generative Appearance Model for End-To-End Video Object Segmentation
Joakim Johnander, Martin Danelljan, Emil Brissman et al.
A Generative Model for Dynamic Networks with Applications
Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati
A Generative Model For Electron Paths
John Bradshaw, Matt J. Kusner, Brooks Paige et al.
A Generic Acceleration Framework for Stochastic Composite Optimization
Andrei Kulunchakov, Julien Mairal
A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique
Ziyu Chen, Xingqiong Jiang, Yanchen Deng et al.
Agent-based Decision Support for Pain Management in Primary Care Settings
Xu Guo, Han Yu, Chunyan Miao et al.
A Geometric Perspective on Optimal Representations for Reinforcement Learning
Marc Bellemare, Will Dabney, Robert Dadashi et al.