Learning in Natural Language Processing

GPTKB entity

Statements (100)
Predicate Object
gptkbp:instanceOf research
gptkbp:appliesTo machine translation
question answering
sentiment analysis
text classification
language modeling
named entity recognition
gptkbp:fieldOfStudy gptkb:Natural_Language_Processing
https://www.w3.org/2000/01/rdf-schema#label Learning in Natural Language Processing
gptkbp:relatedTo gptkb:machine_learning
gptkb:reinforcement_learning
deep learning
supervised learning
unsupervised learning
gptkbp:supportsAlgorithm gptkb:BART
gptkb:GRU
gptkb:Pegasus
gptkb:T5
gptkb:mBERT
gptkb:Funnel_Transformer
gptkb:GANs
gptkb:Switch_Transformer
gptkb:Word2Vec
gptkb:ELMo
gptkb:GloVe
gptkb:XLM
gptkb:XLM-R
gptkb:fastText
gptkb:variational_autoencoders
gptkb:LSTM
gptkb:CRF
gptkb:ELECTRA
gptkb:LoRA
gptkb:Mixture_of_Experts
gptkb:RLHF
gptkb:Perceiver
gptkb:Perceiver_IO
gptkb:ERNIE
gptkb:BERT
gptkb:ALBERT
gptkb:BigBird
gptkb:DeBERTa
gptkb:DistilBERT
gptkb:GPT
gptkb:Longformer
gptkb:RoBERTa
gptkb:XLNet
convolutional neural networks
neural networks
self-supervised learning
transformers
pruning
active learning
attention mechanism
data augmentation
decision trees
gradient boosting
k-nearest neighbors
logistic regression
naive bayes
quantization
random forests
recurrent neural networks
semi-supervised learning
support vector machines
transfer learning
word embeddings
contrastive learning
representation learning
knowledge graphs
ensemble learning
distillation
retrieval-augmented generation
adversarial training
graph neural networks
few-shot learning
multi-task learning
sequence-to-sequence models
zero-shot learning
Reformer
curriculum learning
domain adaptation
meta-learning
fine-tuning
knowledge distillation
prompt learning
masked language modeling
pre-training
causal language modeling
instruction tuning
denoising autoencoders
self-training
multi-modal learning
contrastive pre-training
knowledge injection
parameter-efficient tuning
pseudo-labeling
transformer-XL
gptkbp:bfsParent gptkb:Daniel_Roth
gptkbp:bfsLayer 7