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synonyms.json
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synonyms.json
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{
"nlp": "natural language processing",
"ner": "named entity recognition",
"qa": "question answering",
"asr": "automatic speech recognition",
"nmt": "neural machine translation",
"nlu": "natural language understanding",
"mt": "machine translation",
"ai": "artificial intelligence",
"nli": "natural language inference",
"nlg": "natural language generation",
"mrc": "machine reading comprehension",
"slu": "spoken language understanding",
"ir": "information retrieval",
"rl": "reinforcement learning",
"iot": "internet of things",
"ml": "machine learning",
"vqa": "visual question answering",
"sr": "super resolution",
"re - id": "re-identification",
"reid": "re-identification",
"sisr": "single image super-resolution",
"neural networks": "neural network",
"nn": "neural network",
"nns": "neural networks",
"deep neural networks": "deep neural network",
"dnns": "deep neural network",
"gan": "generative adversarial network",
"gans": "generative adversarial network",
"generative adversarial networks": "generative adversarial network",
"gnn": "graph neural network",
"gnns": "graph neural network",
"graph neural networks": "graph neural network",
"vae": "variational autoencoder",
"vaes": "variational autoencoder",
"variational autoencoders": "variational autoencoder",
"fl": "federated learning",
"nas": "neural architecture search",
"gcn": "graph convolutional network",
"gcns": "graph convolutional networks",
"drl": "deep reinforcement learning",
"dl": "deep learning",
"f1": "f1 score",
"f1-score": "f1 score",
"wer": "word error rate",
"bleu points": "bleu score",
"bleu": "bleu score",
"f1 scores": "f1 score",
"f - score": "f score",
"rouge": "rouge score",
"rouge scores": "rouge score",
"bleu scores": "bleu score",
"mos": "mean opinion score",
"cer": "character error rate",
"eer": "equal error rate",
"f - measure": "f score",
"f1 points": "f1 score",
"f-1 score": "f1 score",
"mae": "mean absolute error",
"rmse": "root mean square error",
"mse": "mean square error",
"map": "maximum a posteriori",
"gp": "gaussian process",
"ap": "average precision",
"miou": "mean intersection-over-union",
"iou": "intersection-over-union",
"ssim": "structural similarity",
"fid": "frechet inception distance",
"dsc": "dice similarity coefficient",
"mnist datasets": "mnist",
"mnist dataset": "mnist",
"cifar10": "cifar-10",
"cifar-10 dataset": "cifar-10",
"cifar-10 datasets": "cifar-10",
"cifar10 datasets": "cifar-10",
"cifar10 dataset": "cifar-10",
"cifar100": "cifar-100",
"cifar-100 datasets": "cifar-100",
"imagenet dataset": "imagenet",
"imagenet datasets": "imagenet",
"ct": "computed tomography",
"ct images": "computed tomography",
"eeg": "electroencephalogram",
"eeg data": "electroencephalogram",
"covid19": "covid-19",
"ms - coco": "coco",
"ms coco": "coco",
"ms coco dataset": "coco",
"mscoco": "coco",
"coco dataset": "coco",
"ms coco datasets": "coco",
"miniimagenet": "mini-imagenet",
"mini - imagenet": "mini-imagenet",
"tiny imagenet": "tiny-imagenet",
"tiny - imagenet": "tiny-imagenet",
"cxr": "chest x-ray",
"chest x - ray": "chest x-ray",
"chest x - ray images": "chest x-ray",
"chest x - rays": "chest x-ray",
"chest x - ray dataset": "chest x-ray",
"english language": "english",
"deep convolutional neural networks": "deep convolutional neural network",
"cnn": "convolutional neural network",
"convolutional neural networks": "convolutional neural network",
"cnns": "convolutional neural network",
"rnn": "recurrent neural network",
"rnns": "recurrent neural network",
"recurrent neural networks": "recurrent neural network",
"lstm": "long short term memory",
"transformers": "transformer",
"kg": "knowledge graph",
"kgs": "knowledge graph",
"lms": "language model",
"language models": "language model",
"lstms": "long short term memory",
"lm": "language model",
"kb": "knowledge base",
"bilstm": "long short term memory",
"dnn": "deep neural network",
"mlm": "masked language model",
"crf": "conditional random field",
"ctc": "connectionist temporal classification",
"uda": "unsupervised domain adaptation"
}