Papers
LatentGNN: Learning Efficient Non-local Relations for Visual Recognition
Songyang Zhang, Xuming He, Shipeng Yan
Latent Multi-Task Architecture Learning
Sebastian Ruder, Joachim Bingel, Isabelle Augenstein et al.
Latent Multi-view Semi-Supervised Classification
Xiaofan Bo, Zhao Kang, Zhitong Zhao et al.
Latent Normalizing Flows for Discrete Sequences
Zachary Ziegler, Alexander Rush
Latent Ordinary Differential Equations for Irregularly-Sampled Time Series
Yulia Rubanova, Ricky T. Q. Chen, David K. Duvenaud
Latent Part-of-Speech Sequences for Neural Machine Translation
Xuewen Yang, Yingru Liu, Dongliang Xie et al.
Latent Part-of-Speech Sequences for Neural Machine Translation
Xuewen Yang, Yingru Liu, Dongliang Xie et al.
Latent Retrieval for Weakly Supervised Open Domain Question Answering
Kenton Lee, Ming-Wei Chang, Kristina Toutanova
Latent semantic network induction in the context of linked example senses
Hunter Heidenreich, Jake Williams
Latent Semantics Encoding for Label Distribution Learning
Suping Xu, Lin Shang, Furao Shen
Latent Space Autoregression for Novelty Detection
Davide Abati, Angelo Porrello, Simone Calderara et al.
Latent Structure Models for Natural Language Processing
André F. T. Martins, Tsvetomila Mihaylova, Nikita Nangia et al.
Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention
Lei Cao, Huijun Zhang, Ling Feng et al.
Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention
Lei Cao, Huijun Zhang, Ling Feng et al.
Latent Topic Attention for Domain Classification
Peisong Huang, Peijie Huang, Wencheng Ai et al.
Latent-Variable Generative Models for Data-Efficient Text Classification
Xiaoan Ding, Kevin Gimpel
Latent-Variable Generative Models for Data-Efficient Text Classification
Xiaoan Ding, Kevin Gimpel
Latent Variable Model for Multi-modal Translation
Iacer Calixto, Miguel Rios, Wilker Aziz
Latent Variable Sentiment Grammar
Liwen Zhang, Kewei Tu, Yue Zhang
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization
Koen Helwegen, James Widdicombe, Lukas Geiger et al.
Lattice-Based Lightly-Supervised Acoustic Model Training
Joachim Fainberg, Ondřej Klejch, Steve Renals et al.
Lattice-Based Transformer Encoder for Neural Machine Translation
Fengshun Xiao, Jiangtong Li, Hai Zhao et al.
Lattice CNNs for Matching Based Chinese Question Answering
Yuxuan Lai, Yansong Feng, Xiaohan Yu et al.
Lattice Generation in Attention-Based Speech Recognition Models
Michał Zapotoczny, Piotr Pietrzak, Adrian Łańcucki et al.
Lattice Re-Scoring During Manual Editing for Automatic Error Correction of ASR Transcripts
Anna V. Rúnarsdóttir, Inga R. Helgadóttir, Jón Guðnason