Papers
Kernel RNN Learning (KeRNL)
Christopher Roth, Ingmar Kanitscheider, Ila Fiete
Kernels for Sequentially Ordered Data
Franz J. Kiraly, Harald Oberhauser
Kernel Stein Tests for Multiple Model Comparison
Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf et al.
Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction
Weiming Zhi, Lionel Ott, Fabio Ramos
Kernel Transformer Networks for Compact Spherical Convolution
Yu-Chuan Su, Kristen Grauman
Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration
Kwang-Sung Jun, Ashok Cutkosky, Francesco Orabona
Kervolutional Neural Networks
Chen Wang, Jianfei Yang, Lihua Xie et al.
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation
Shuming Ma, Pengcheng Yang, Tianyu Liu et al.
Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters
Axel Barroso-Laguna, Edgar Riba, Daniel Ponsa et al.
Keyphrase Generation: A Text Summarization Struggle
Erion Çano, Ondřej Bojar
Keyword Spotting for Hearing Assistive Devices Robust to External Speakers
Iván López-Espejo, Zheng-Hua Tan, Jesper Jensen
K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning
Pramod Kaushik Mudrakarta, Mark Sandler, Andrey Zhmoginov et al.
KFU NLP Team at SMM4H 2019 Tasks: Want to Extract Adverse Drugs Reactions from Tweets? BERT to The Rescue
Zulfat Miftahutdinov, Ilseyar Alimova, Elena Tutubalina
KGPChamps at SemEval-2019 Task 3: A deep learning approach to detect emotions in the dialog utterances.
Jasabanta Patro, Nitin Choudhary, Kalpit Chittora et al.
Kingsoft’s Neural Machine Translation System for WMT19
Xinze Guo, Chang Liu, Xiaolong Li et al.
KitcheNette: Predicting and Ranking Food Ingredient Pairings using Siamese Neural Network
Donghyeon Park, Keonwoo Kim, Yonggyu Park et al.
Kite: Automatic Speech Recognition for Unmanned Aerial Vehicles
Dan Oneață, Horia Cucu
KL-Divergence Regularized Deep Neural Network Adaptation for Low-Resource Speaker-Dependent Speech Enhancement
Li Chai, Jun Du, Chin-Hui Lee
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection
Yuxi Zhou, Shenda Hong, Junyuan Shang et al.
k-Means Clustering of Lines for Big Data
Yair Marom, Dan Feldman
KMI-Coling at SemEval-2019 Task 6: Exploring N-grams for Offensive Language detection
Priya Rani, Atul Kr. Ojha
K-Nearest Neighbors Hashing
Xiangyu He, Peisong Wang, Jian Cheng
KNG: The K-Norm Gradient Mechanism
Matthew Reimherr, Jordan Awan
KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks
James Jordon, Jinsung Yoon, Mihaela van der Schaar
Knockoff Nets: Stealing Functionality of Black-Box Models
Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz