Papers
Large-scale Expected BLEU Training of Phrase-based Reordering Models
Michael Auli, Michel Galley, Jianfeng Gao
Large-scale L-BFGS using MapReduce
Weizhu Chen, Zhenghao Wang, Jingren Zhou
Large-scale Multi-label Learning with Missing Labels
Hsiang-Fu Yu, Prateek Jain, Purushottam Kar et al.
Large Scale Multi-view Stereopsis Evaluation
Rasmus Jensen, Anders Dahl, George Vogiatzis et al.
Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images
Eleonora Vig, Michael Dorr, David Cox
Large-scale Reordering Model for Statistical Machine Translation using Dual Multinomial Logistic Regression
Abdullah Alrajeh, Mahesan Niranjan
Large-scale Video Classification with Convolutional Neural Networks
Andrej Karpathy, George Toderici, Sanketh Shetty et al.
Large-Scale Visual Font Recognition
Guang Chen, Jianchao Yang, Hailin Jin et al.
Latent Bandits.
Odalric-Ambrym Maillard, Shie Mannor
Latent Confusion Analysis by Normalized Gamma Construction
Issei Sato, Hisashi Kashima, Hiroshi Nakagawa
Latent Dictionary Learning for Sparse Representation based Classification
Meng Yang, Dengxin Dai, Lilin Shen et al.
Latent Domain Phrase-based Models for Adaptation
Hoang Cuong, Khalil Sima’an
Latent Domain Translation Models in Mix-of-Domains Haystack
Hoang Cuong, Khalil Sima’an
Latent Gaussian Models for Topic Modeling
Changwei Hu, Eunsu Ryu, David Carlson et al.
Latent Regression Forest: Structured Estimation of 3D Articulated Hand Posture
Danhang Tang, Hyung Jin Chang, Alykhan Tejani et al.
Latent Semantic Representation Learning for Scene Classification
Xin Li, Yuhong Guo
Latent Support Measure Machines for Bag-of-Words Data Classification
Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada
Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data
Benjamin Letham, Wei Sun, Anshul Sheopuri
Latent-Variable Synchronous CFGs for Hierarchical Translation
Avneesh Saluja, Chris Dyer, Shay B. Cohen
Lattice Desegmentation for Statistical Machine Translation
Mohammad Salameh, Colin Cherry, Grzegorz Kondrak
Learnability of the Superset Label Learning Problem
Liping Liu, Thomas Dietterich
Learning Abstract Concept Embeddings from Multi-Modal Data: Since You Probably Can’t See What I Mean
Felix Hill, Anna Korhonen
Learning a Concept Hierarchy from Multi-labeled Documents
Viet-An Nguyen, Jordan L Ying, Philip Resnik et al.
Learning a Lexical Simplifier Using Wikipedia
Colby Horn, Cathryn Manduca, David Kauchak