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bbw: Matching CSV to Wikidata via Meta-lookup
RenatShigapov, PhilippZumstein, JanKamlah....
Published date-03/01/2021
EntityTyping, GraphMatching, NamedEntityRecognition, RelationExtraction, Tableannotation, TabletoKnowledgeGraphMatching
We present our publicly available semantic annotator bbw (boosted by wiki) tested at the second Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab2020). It annotates a raw …
Improving Random-Sampling Neural Architecture Search by Evolving the Proxy Search Space
Anonymous....
Published date-01/01/2021
ImageClassification, NeuralArchitectureSearch
Random-sampling Neural Architecture Search (RandomNAS) has recently become a prevailing NAS approach because of its search efficiency and simplicity. There are two main steps in RandomNAS: the training step that …
Ruminating Word Representations with Random Noise Masking
Anonymous....
Published date-01/01/2021
TextClassification, WordEmbeddings
We introduce a training method for better word representation and performance, which we call \textbf{GraVeR} (\textbf{Gra}dual \textbf{Ve}ctor \textbf{R}umination). The method is to gradually and iteratively add random noises and bias …
The large learning rate phase of deep learning
Anonymous....
Published date-01/01/2021
The choice of initial learning rate can have a profound effect on the performance of deep networks. We present empirical evidence that networks exhibit sharply distinct behaviors at small and …
MixSize: Training Convnets With Mixed Image Sizes for Improved Accuracy, Speed and Scale Resiliency
Anonymous....
Published date-01/01/2021
Convolutional neural networks (CNNs) are commonly trained using a fixed spatial image size predetermined for a given model. Although trained on images of a specific size, it is well established …
Hierarchical Meta Reinforcement Learning for Multi-Task Environments
Anonymous....
Published date-01/01/2021
HierarchicalReinforcementLearning, MetaReinforcementLearning
Deep reinforcement learning algorithms aim to achieve human-level intelligence by solving practical decisions-making problems, which are often composed of multiple sub-tasks. Complex and subtle relationships between sub-tasks make traditional methods …