Papers
Larger-Context Language Modelling with Recurrent Neural Network
Tian Wang, Kyunghyun Cho
Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation
Sujith Ravi, Qiming Diao
Large Scale Hard Sample Mining With Monte Carlo Tree Search
Olivier Canevet, Francois Fleuret
Large-Scale Location Recognition and the Geometric Burstiness Problem
Torsten Sattler, Michal Havlena, Konrad Schindler et al.
Large-scale Multi-class and Hierarchical Product Categorization for an E-commerce Giant
Ali Cevahir, Koji Murakami
Large-scale Multitask Learning for Machine Translation Quality Estimation
Kashif Shah, Lucia Specia
Large Scale Online Kernel Learning
Jing Lu, Steven C.H. Hoi, Jialei Wang et al.
Large-Scale Optimization Algorithms for Sparse Conditional Gaussian Graphical Models
Calvin McCarter, Seyoung Kim
Large-Scale Price Optimization via Network Flow
Shinji Ito, Ryohei Fujimaki
Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-Resolution Model for Multi-Class Volumetric Labeling
Maros Blaha, Christoph Vogel, Audrey Richard et al.
Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer
Yuxing Tang, Josiah Wang, Boyang Gao et al.
Large Scale Sparse Clustering
Ruqi Zhang, Zhiwu Lu
Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning
Judy Hoffman, Deepak Pathak, Eric Tzeng et al.
Latent Attention For If-Then Program Synthesis
Chang Liu, Xinyun Chen, Eui Chul Shin et al.
Latent Contextual Bandits and their Application to Personalized Recommendations for New Users
Li Zhou, Emma Brunskill
Latent Embeddings for Zero-Shot Classification
Yongqin Xian, Zeynep Akata, Gaurav Sharma et al.
Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition
Yandong Wen, Zhifeng Li, Yu Qiao
Latent Point Process Allocation
Chris Lloyd, Tom Gunter, Michael Osborne et al.
Latent Predictor Networks for Code Generation
Wang Ling, Phil Blunsom, Edward Grefenstette et al.
Latent Space Inference of Internet-Scale Networks
Qirong Ho, Junming Yin, Eric P. Xing
Latent Topic Embedding
Di Jiang, Lei Shi, Rongzhong Lian et al.
Latent Tree Language Model
Tomáš Brychcín
Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP)
Won Hwa Kim, Hyunwoo J. Kim, Nagesh Adluru et al.
LatticeRnn: Recurrent Neural Networks Over Lattices
Faisal Ladhak, Ankur Gandhe, Markus Dreyer et al.
Laughter Valence Prediction in Motivational Interviewing Based on Lexical and Acoustic Cues
Rahul Gupta, Nishant Nath, Taruna Agrawal et al.