Papers
Knowledge Graph Embedding via Dynamic Mapping Matrix
Guoliang Ji, Shizhu He, Liheng Xu et al.
Knowledge Graph Embedding via Dynamic Mapping Matrix
Guoliang Ji, Shizhu He, Liheng Xu et al.
Knowledge Portability with Semantic Expansion of Ontology Labels
Mihael Arcan, Marco Turchi, Paul Buitelaar
Knowledge Portability with Semantic Expansion of Ontology Labels
Mihael Arcan, Marco Turchi, Paul Buitelaar
Krimping texts for better summarization
Marina Litvak, Mark Last, Natalia Vanetik
Kullback-Leibler Proximal Variational Inference
Mohammad Emtiyaz Khan, Pierre Baque, François Fleuret et al.
L0TV: A New Method for Image Restoration in the Presence of Impulse Noise
Ganzhao Yuan, Bernard Ghanem
Label Consistent Quadratic Surrogate Model for Visual Saliency Prediction
Yan Luo, Yongkang Wong, Qi Zhao
Labeled Grammar Induction with Minimal Supervision
Yonatan Bisk, Christos Christodoulopoulos, Julia Hockenmaier
Labeled Grammar Induction with Minimal Supervision
Yonatan Bisk, Christos Christodoulopoulos, Julia Hockenmaier
Labeled Morphological Segmentation with Semi-Markov Models
Ryan Cotterell, Thomas Müller, Alexander Fraser et al.
Label optimal regret bounds for online local learning
Pranjal Awasthi, Moses Charikar, Kevin A Lai et al.
Landmarking Manifolds with Gaussian Processes
Dawen Liang, John Paisley
Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation
Rahaf Aljundi, Remi Emonet, Damien Muselet et al.
Language and Domain Independent Entity Linking with Quantified Collective Validation
Han Wang, Jin Guang Zheng, Xiaogang Ma et al.
Language Identification and Modeling in Specialized Hardware
Kenneth Heafield, Rohan Kshirsagar, Santiago Barona
Language Identification and Modeling in Specialized Hardware
Kenneth Heafield, Rohan Kshirsagar, Santiago Barona
Language Models for Image Captioning: The Quirks and What Works
Jacob Devlin, Hao Cheng, Hao Fang et al.
Language Models for Image Captioning: The Quirks and What Works
Jacob Devlin, Hao Cheng, Hao Fang et al.
Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes
Chris Quirk, Raymond Mooney, Michel Galley
Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes
Chris Quirk, Raymond Mooney, Michel Galley
Language Understanding for Text-based Games using Deep Reinforcement Learning
Karthik Narasimhan, Tejas Kulkarni, Regina Barzilay
Large Displacement 3D Scene Flow With Occlusion Reasoning
Andrei Zanfir, Cristian Sminchisescu
Large-Scale Acquisition of Entailment Pattern Pairs by Exploiting Transitivity
Julien Kloetzer, Kentaro Torisawa, Chikara Hashimoto et al.