( Image credit: R-Transformer )
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Long Short-Term Memory (LSTM) infers the long term dependency through a cell state maintained by the input and the forget gate structures, which models a gate output as a value in [0, 1] through a sigmoid function.
Generating musical audio directly with neural networks is notoriously difficult because it requires coherently modeling structure at many different timescales.
To exploit efficient tensor algebra in graphs with plates of variables, we generalize undirected factor graphs to plated factor graphs and variable elimination to a tensor variable elimination algorithm that operates directly on plated factor graphs.
Subset selection from massive data with noised information is increasingly popular for various applications.
#4 best model for Named Entity Recognition on SciERC (using extra training data)
ACTION RECOGNITION IN VIDEOS FINE-GRAINED IMAGE CLASSIFICATION IMAGE GENERATION MACHINE TRANSLATION MUSIC MODELING NESTED NAMED ENTITY RECOGNITION NODE CLASSIFICATION PANOPTIC SEGMENTATION PART-OF-SPEECH TAGGING POSE ESTIMATION RELATION EXTRACTION SALIENT OBJECT DETECTION SEMI-SUPERVISED IMAGE CLASSIFICATION SKELETON BASED ACTION RECOGNITION TEMPORAL ACTION PROPOSAL GENERATION TRAFFIC PREDICTION VISUAL OBJECT TRACKING