Papers
Large-scale Exploration of Neural Relation Classification Architectures
Hoang-Quynh Le, Duy-Cat Can, Sinh T. Vu et al.
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
Yin Cui, Yang Song, Chen Sun et al.
Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing
Osman Ramadan, Paweł Budzianowski, Milica Gašić
Large Scale Optimal Transport and Mapping Estimation
Vivien Seguy, Bharath Bhushan Damodaran, Remi Flamary et al.
Large-Scale Point Cloud Semantic Segmentation With Superpoint Graphs
Loic Landrieu, Martin Simonovsky
Large-Scale QA-SRL Parsing
Nicholas FitzGerald, Julian Michael, Luheng He et al.
Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion
Richard Zhang, Salar Fattahi, Somayeh Sojoudi
Large-scale spectral clustering using diffusion coordinates on landmark-based bipartite graphs
Khiem Pham, Guangliang Chen
Large-Scale Stochastic Sampling from the Probability Simplex
Jack Baker, Paul Fearnhead, Emily B. Fox et al.
Large Scale Urban Scene Modeling from MVS Meshes
Lingjie Zhu, Shuhan Shen, Xiang Gao et al.
Large Vocabulary Concatenative Resynthesis
Soumi Maiti, Joey Ching, Michael Mandel
Larry: Practical Network Reconfigurability in the Data Center
Andromachi Chatzieleftheriou, Sergey Legtchenko, Hugh Williams et al.
LaSTUS/TALN at Complex Word Identification (CWI) 2018 Shared Task
Ahmed AbuRa’ed, Horacio Saggion
Latent Alignment and Variational Attention
Yuntian Deng, Yoon Kim, Justin Chiu et al.
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models
Jesse Engel, Matthew Hoffman, Adam Roberts
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text?
Eylon Shoshan, Kira Radinsky
Latent Factor Analysis of Deep Bottleneck Features for Speaker Verification with Random Digit Strings
Ziqiang Shi, Huibin Lin, Liu Liu et al.
Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments
Daniel Johnson, Daniel Gorelik, Ross E Mawhorter et al.
Latent RANSAC
Simon Korman, Roee Litman
Latent Space Oddity: on the Curvature of Deep Generative Models
Georgios Arvanitidis, Lars Kai Hansen, Søren Hauberg
Latent Space Policies for Hierarchical Reinforcement Learning
Tuomas Haarnoja, Kristian Hartikainen, Pieter Abbeel et al.
Latent Tree Learning with Differentiable Parsers: Shift-Reduce Parsing and Chart Parsing
Jean Maillard, Stephen Clark
Lattice-free State-level Minimum Bayes Risk Training of Acoustic Models
Naoyuki Kanda, Yusuke Fujita, Kenji Nagamatsu
LaVAN: Localized and Visible Adversarial Noise
Danny Karmon, Daniel Zoran, Yoav Goldberg
Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask
Xi Zhang, Di Ma, Xu Ouyang et al.