Papers
Learning to Translate in Real-time with Neural Machine Translation
Jiatao Gu, Graham Neubig, Kyunghyun Cho et al.
Learning Transferable Representation for Bilingual Relation Extraction via Convolutional Neural Networks
Bonan Min, Zhuolin Jiang, Marjorie Freedman et al.
Learning Translations via Matrix Completion
Derry Tanti Wijaya, Brendan Callahan, John Hewitt et al.
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach
Yi Ouyang, Mukul Gagrani, Ashutosh Nayyar et al.
Learning User Dependencies for Recommendation
Yong Liu, Peilin Zhao, Xin Liu et al.
Learning User Embeddings from Emails
Yan Song, Chia-Jung Lee
Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach
Huayu Li, Yong Ge, Defu Lian et al.
Learning Video Object Segmentation From Static Images
Federico Perazzi, Anna Khoreva, Rodrigo Benenson et al.
Learning Weakly Supervised Multimodal Phoneme Embeddings
Rahma Chaabouni, Ewan Dunbar, Neil Zeghidour et al.
Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers
André F. T. Martins, Julia Kreutzer
Learning what to read: Focused machine reading
Enrique Noriega-Atala, Marco A. Valenzuela-Escárcega, Clayton Morrison et al.
Learning with Average Top-k Loss
Yanbo Fan, Siwei Lyu, Yiming Ying et al.
Learning with Bandit Feedback in Potential Games
Amélie Heliou, Johanne Cohen, Panayotis Mertikopoulos
Learning with Feature Evolvable Streams
Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou
Learning with Feature Feedback: from Theory to Practice
Stefanos Poulis, Sanjoy Dasgupta
Learning with Limited Rounds of Adaptivity: Coin Tossing, Multi-Armed Bandits, and Ranking from Pairwise Comparisons
Arpit Agarwal, Shivani Agarwal, Sepehr Assadi et al.
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix
Bingfeng Luo, Yansong Feng, Zheng Wang et al.
Learning with Previously Unseen Features
Yuan Shi, Craig A. Knoblock
Learning Word-Like Units from Joint Audio-Visual Analysis
David Harwath, James Glass
Learning Word Relatedness over Time
Guy D. Rosin, Eytan Adar, Kira Radinsky
Learning Word Vector Representations Based on Acoustic Counts
M. Sam Ribeiro, Oliver Watts, Junichi Yamagishi
Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds
Mina Ashizawa, Hiroaki Sasaki, Tomoya Sakai et al.
Legal NERC with ontologies, Wikipedia and curriculum learning
Cristian Cardellino, Milagro Teruel, Laura Alonso Alemany et al.
Length, Interchangeability, and External Knowledge: Observations from Predicting Argument Convincingness
Peter Potash, Robin Bhattacharya, Anna Rumshisky
Lens Depth Function and k-Relative Neighborhood Graph: Versatile Tools for Ordinal Data Analysis
Matthäus Kleindessner, Ulrike von Luxburg