Papers
JUCBNMT at WMT2018 News Translation Task: Character Based Neural Machine Translation of Finnish to English
Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay
Judicious Selection of Training Data in Assisting Language for Multilingual Neural NER
Rudra Murthy, Anoop Kunchukuttan, Pushpak Bhattacharyya
Juman++: A Morphological Analysis Toolkit for Scriptio Continua
Arseny Tolmachev, Daisuke Kawahara, Sadao Kurohashi
JUMP: a Jointly Predictor for User Click and Dwell Time
Tengfei Zhou, Hui Qian, Zebang Shen et al.
Jumper: Learning When to Make Classification Decision in Reading
Xianggen Liu, Lili Mou, Haotian Cui et al.
Jump to better conclusions: SCAN both left and right
Jasmijn Bastings, Marco Baroni, Jason Weston et al.
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin, Regina Barzilay, Tommi Jaakkola
Kalman Normalization: Normalizing Internal Representations Across Network Layers
Guangrun Wang, jiefeng peng, Ping Luo et al.
Karaoke: Distributed Private Messaging Immune to Passive Traffic Analysis
David Lazar, Yossi Gilad, Nickolai Zeldovich
Kawennón:nis: the Wordmaker for Kanyen’kéha
Anna Kazantseva, Owennatekha Brian Maracle, Ronkwe’tiyóhstha Josiah Maracle et al.
K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning
Jihun Hamm, Yung-Kyun Noh
KBGAN: Adversarial Learning for Knowledge Graph Embeddings
Liwei Cai, William Yang Wang
KDGAN: Knowledge Distillation with Generative Adversarial Networks
Xiaojie Wang, Rui Zhang, Yu Sun et al.
Keep It or Not: Word Level Quality Estimation for Post-Editing
Prasenjit Basu, Santanu Pal, Sudip Kumar Naskar
Keep Your Bearings: Lightly-Supervised Information Extraction with Ladder Networks That Avoids Semantic Drift
Ajay Nagesh, Mihai Surdeanu
KELP: a Kernel-based Learning Platform
Simone Filice, Giuseppe Castellucci, Giovanni Da San Martino et al.
Kernel Conditional Exponential Family
Michael Arbel, Arthur Gretton
Kernel Density Estimation for Dynamical Systems
Hanyuan Hang, Ingo Steinwart, Yunlong Feng et al.
Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions
Carl-Johann Simon-Gabriel, Bernhard Schölkopf
Kernel Implicit Variational Inference
Jiaxin Shi, Shengyang Sun, Jun Zhu
Kernelized Subspace Pooling for Deep Local Descriptors
Xing Wei, Yue Zhang, Yihong Gong et al.
Kernelized Synaptic Weight Matrices
Lorenz Muller, Julien Martel, Giacomo Indiveri