Papers
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
Adams Wei Yu, David Dohan, Minh-Thang Luong et al.
QED: A fact verification system for the FEVER shared task
Jackson Luken, Nanjiang Jiang, Marie-Catherine de Marneffe
Q-learning with Nearest Neighbors
Devavrat Shah, Qiaomin Xie
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid, Mikayel Samvelyan, Christian Schroeder et al.
QuAC: Question Answering in Context
Eunsol Choi, He He, Mohit Iyyer et al.
Quadratic Decomposable Submodular Function Minimization
Pan Li, Niao He, Olgica Milenkovic
Quadrature-based features for kernel approximation
Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev et al.
Quality Estimation for Automatically Generated Titles of eCommerce Browse Pages
Nicola Ueffing, José G. C. de Souza, Gregor Leusch
Quality Estimation with Force-Decoded Attention and Cross-lingual Embeddings
Elizaveta Yankovskaya, Andre Tättar, Mark Fishel
Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning
Xiaochi Wei, Heyan Huang, Liqiang Nie et al.
Quality-Net: An End-to-End Non-intrusive Speech Quality Assessment Model Based on BLSTM
Szu-wei Fu, Yu Tsao, Hsin-Te Hwang et al.
Quantifying Algorithmic Improvements over Time
Lars Kotthoff, Alexandre Fréchette, Tomasz Michalak et al.
Quantifying Context Overlap for Training Word Embeddings
Yimeng Zhuang, Jinghui Xie, Yinhe Zheng et al.
Quantifying Learning Guarantees for Convex but Inconsistent Surrogates
Kirill Struminsky, Simon Lacoste-Julien, Anton Osokin
Quantifying the Visual Concreteness of Words and Topics in Multimodal Datasets
Jack Hessel, David Mimno, Lillian Lee
Quantifying training challenges of dependency parsers
Lauriane Aufrant, Guillaume Wisniewski, François Yvon
Quantitatively Evaluating GANs With Divergences Proposed for Training
Daniel Jiwoong Im, He Ma, Graham W. Taylor et al.
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob, Skirmantas Kligys, Bo Chen et al.
Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation
Xiaowei Xu, Qing Lu, Lin Yang et al.
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Itay Hubara, Matthieu Courbariaux, Daniel Soudry et al.
QuantTree: Histograms for Change Detection in Multivariate Data Streams
Giacomo Boracchi, Diego Carrera, Cristiano Cervellera et al.
Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization
Yuxuan Du, Tongliang Liu, Yinan Li et al.
Quantum-Inspired Complex Word Embedding
Qiuchi Li, Sagar Uprety, Benyou Wang et al.
QuaSE: Sequence Editing under Quantifiable Guidance
Yi Liao, Lidong Bing, Piji Li et al.
Quasi-Monte Carlo Variational Inference
Alexander Buchholz, Florian Wenzel, Stephan Mandt