Papers
KDEHatEval at SemEval-2019 Task 5: A Neural Network Model for Detecting Hate Speech in Twitter
Umme Aymun Siddiqua, Abu Nowshed Chy, Masaki Aono
Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange
Steven Y. Feng, Aaron W. Li, Jesse Hoey
Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange
Steven Y. Feng, Aaron W. Li, Jesse Hoey
Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning
Toru Nishino, Shotaro Misawa, Ryuji Kano et al.
Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning
Toru Nishino, Shotaro Misawa, Ryuji Kano et al.
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder
Ryan Benmalek, Madian Khabsa, Suma Desu et al.
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
Alexander Trott, Stephan Zheng, Caiming Xiong et al.
Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization
Manling Li, Lingyu Zhang, Heng Ji et al.
KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing
Mengshi Qi, Yunhong Wang, Jie Qin et al.
KerGM: Kernelized Graph Matching
Zhen Zhang, Yijian Xiang, Lingfei Wu et al.
Kernel Approximation Methods for Speech Recognition
Avner May, Alireza Bagheri Garakani, Zhiyun Lu et al.
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods
Kevin Liang, Guoyin Wang, Yitong Li et al.
Kernel-Based Reinforcement Learning in Robust Markov Decision Processes
Shiau Hong Lim, Arnaud Autef
Kernel Change-point Detection with Auxiliary Deep Generative Models
Wei-Cheng Chang, Chun-Liang Li, Yiming Yang et al.
Kernel Exponential Family Estimation via Doubly Dual Embedding
Bo Dai, Hanjun Dai, Arthur Gretton et al.
Kernel Instrumental Variable Regression
Rahul Singh, Maneesh Sahani, Arthur Gretton
Kernelized Bayesian Softmax for Text Generation
Ning Miao, Hao Zhou, Chengqi Zhao et al.
Kernelized Hashcode Representations for Relation Extraction
Sahil Garg, Aram Galstyan, Greg Ver Steeg et al.
Kernel Machines Beat Deep Neural Networks on Mask-Based Single-Channel Speech Enhancement
Like Hui, Siyuan Ma, Mikhail Belkin
Kernel Mean Matching for Content Addressability of GANs
Wittawat Jitkrittum, Patsorn Sangkloy, Muhammad Waleed Gondal et al.
Kernel Modeling Super-Resolution on Real Low-Resolution Images
Ruofan Zhou, Sabine Susstrunk
Kernel Normalized Cut: a Theoretical Revisit
Yoshikazu Terada, Michio Yamamoto
kernelPSI: a Post-Selection Inference Framework for Nonlinear Variable Selection
Lotfi Slim, Clément Chatelain, Chloe-Agathe Azencott et al.
Kernel quadrature with DPPs
Ayoub Belhadji, Rémi Bardenet, Pierre Chainais