Datasets:

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AI-Dictionary

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traditional time series forecasting

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learning model

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popular approach

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unified framework

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feedforward neural network

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neural network based model

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neural network model

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image quality assessment

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unlabeled data

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-0.5961439609527588, 0.892731785774231]

reinforcement learning framework

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reinforcement learning method

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q learning based method

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reinforcement learning based method

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hundred of million

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deep learning network

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learning deep network

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limited training data

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word sense disambiguation

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all words sense disambiguation

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0.29662251472473145]

supervised machine learning

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-1.0738105773925781, 0.8722728490829468]

language processing survey

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language processing contribution

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language processing proceeds

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review language processing

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language processing

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0.2215561866760254, -0.5214093923568726, 0.1138775497674942]

classification task

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network architecture

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-0.10373106598854065, -0.5491394996643066, -0.31403517723083496]

network architecture evaluation

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neural architecture searchnas

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neural architecture search

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deep convolutional network

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answer set programming

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answer set programming approach

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answer set programming based

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0.055100273340940475]

large real world datasets

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real world datasets

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-0.5678161978721619, 0.7924743294715881]

scale real world datasets

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ground truth

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gated recurrent unit

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gated recurrent unit based

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feature map model

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resulting feature space

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1.0009979009628296, -1.2419393062591553, -0.8521997332572937, -0.07356026023626328]

salient object detection

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monocular depth estimation

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monocular depth reconstruction

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monocular depth estimating

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depth monocular estimation

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monocular depth estimationwith

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human judgment

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optical character recognitionocr

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optical character recognition

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labeled training data

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lower computational cost

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natural language question

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monte carlo tree search

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carlo tree search

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recursive gradient descent

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feedback gradient descent

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gradient descent

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neural airport

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neural

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maml

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nash equilibrium

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nash equilibrium common

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-0.8064613342285156, -0.5153076648712158]

policy gradient method

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grammatical error correction

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grammatical correction

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final ground truth label

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accurate ground truth label

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label ground truth

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ground truth label

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-0.7612810134887695, 0.7894822359085083]

algorithm

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-0.4786283075809479, -0.6036067008972168, 0.6682674288749695]

algorithm configuration dac

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-0.7366412281990051, 0.32913026213645935]

tdm algorithm

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masked language model

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attention mechanism

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large corpus

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human action recognition

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1.0722053050994873]

prior knowledge

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data distribution

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hidden layer

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classification problem

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graph self attention

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graph attention network

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graph self attention gsa

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graph attention learning

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object detection model

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reinforcement learning based approach

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