Papers
Knowledge Representation with Conceptual Spaces
Steven Schockaert
Knowledge Transfer with Jacobian Matching
Suraj Srinivas, Francois Fleuret
Know What You Don’t Know: Unanswerable Questions for SQuAD
Pranav Rajpurkar, Robin Jia, Percy Liang
Know Who Your Friends Are: Understanding Social Connections from Unstructured Text
Léa Deleris, Francesca Bonin, Elizabeth Daly et al.
KONG: Kernels for ordered-neighborhood graphs
Moez Draief, Konstantin Kutzkov, Kevin Scaman et al.
Korean Singing Voice Synthesis Based on an LSTM Recurrent Neural Network
Juntae Kim, Heejin Choi, Jinuk Park et al.
Kronecker-factored Curvature Approximations for Recurrent Neural Networks
James Martens, Jimmy Ba, Matt Johnson
Kronecker Recurrent Units
Cijo Jose, Moustapha Cisse, Francois Fleuret
KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos
Egor Lakomkin, Sven Magg, Cornelius Weber et al.
L2-ARCTIC: A Non-native English Speech Corpus
Guanlong Zhao, Sinem Sonsaat, Alif Silpachai et al.
L4: Practical loss-based stepsize adaptation for deep learning
Michal Rolinek, Georg Martius
Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition
Zhenghui Wang, Yanru Qu, Liheng Chen et al.
Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces
Hao Zhou, Jin Sun, Yaser Yacoob et al.
Labeled Anchors and a Scalable, Transparent, and Interactive Classifier
Jeffrey Lund, Stephen Cowley, Wilson Fearn et al.
Labeled Graph Clustering via Projected Gradient Descent
Shiau Hong Lim, Gregory Calvez
Label Embedding Based on Multi-Scale Locality Preservation
Cheng-Lun Peng, An Tao, Xin Geng
Label Enhancement for Label Distribution Learning
Ning Xu, An Tao, Xin Geng
Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding
Guanying Wang, Wen Zhang, Ruoxu Wang et al.
Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning
Xiao Zhang, Wenzhong Li, Vu Nguyen et al.
Ladder Networks for Emotion Recognition: Using Unsupervised Auxiliary Tasks to Improve Predictions of Emotional Attributes
Srinivas Parthasarathy, Carlos Busso
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
Tianyi Chen, Georgios Giannakis, Tao Sun et al.
LAMV: Learning to Align and Match Videos With Kernelized Temporal Layers
Lorenzo Baraldi, Matthijs Douze, Rita Cucchiara et al.
Langevin Monte Carlo and JKO splitting
Espen Bernton
Language-Based Automatic Assessment of Cognitive and Communicative Functions Related to Parkinson’s Disease
Lesley Jessiman, Gabriel Murray, McKenzie Braley