Papers
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights
Daniel Soudry, Itay Hubara, Ron Meir
Expectation-Maximization for Learning Determinantal Point Processes
Jennifer A Gillenwater, Alex Kulesza, Emily B. Fox et al.
Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables
Tomi Peltola, Pasi Jylänki, Aki Vehtari
Expectation Propagation for Neural Networks with Sparsity-Promoting Priors
Pasi Jylänki, Aapo Nummenmaa, Aki Vehtari
Experiments with crowdsourced re-annotation of a POS tagging data set
Dirk Hovy, Barbara Plank, Anders Søgaard
Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis
Nikolaos Pappas, Andrei Popescu-Belis
Explicit Link Between Periodic Covariance Functions and State Space Models
Arno Solin, Simo Särkkä
Exploiting Community Emotion for Microblog Event Detection
Gaoyan Ou, Wei Chen, Tengjiao Wang et al.
Exploiting easy data in online optimization
Amir Sani, Gergely Neu, Alessandro Lazaric
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Emily L Denton, Wojciech Zaremba, Joan Bruna et al.
Exploiting Shading Cues in Kinect IR Images for Geometry Refinement
Gyeongmin Choe, Jaesik Park, Yu-Wing Tai et al.
Exploiting Social Relations and Sentiment for Stock Prediction
Jianfeng Si, Arjun Mukherjee, Bing Liu et al.
Exploiting the Limits of Structure Learning via Inherent Symmetry
Peng He, Changshui Zhang
Exploiting Timelines to Enhance Multi-document Summarization
Jun-Ping Ng, Yan Chen, Min-Yen Kan et al.
Exploratory Relation Extraction in Large Text Corpora
Alan Akbik, Thilo Michael, Christoph Boden
Exploring Fine-grained Entity Type Constraints for Distantly Supervised Relation Extraction
Yang Liu, Kang Liu, Liheng Xu et al.
Exploring the Relative Role of Bottom-up and Top-down Information in Phoneme Learning
Abdellah Fourtassi, Thomas Schatz, Balakrishnan Varadarajan et al.
Exponential Concentration of a Density Functional Estimator
Shashank Singh, Barnabas Poczos
Exponential Family Matrix Completion under Structural Constraints
Suriya Gunasekar, Pradeep Ravikumar, Joydeep Ghosh
Exponential Reservoir Sampling for Streaming Language Models
Miles Osborne, Ashwin Lall, Benjamin Van Durme
Extended and Unscented Gaussian Processes
Daniel M Steinberg, Edwin V. Bonilla
Extracting Latent Structure From Multiple Interacting Neural Populations
Joao Semedo, Amin Zandvakili, Adam Kohn et al.