Acronyms

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Revision as of 07:14, 12 February 2023 by Alpha5 (talk | contribs)
See also: Guides, Terms and Abbreviations
ACE Alternating conditional expectation algorithm
ADT Automatic Drum Transcription
AdA Adaptive Agent
AE Autoencoder
AIWPSO Adaptive Inertia Weight Particle Swarm Optimization
AM Activation maximization
AMT Automatic Music Transcription
ANN Artificial neural network
ANOVA Analysis of variance
AGI Artificial general intelligence
AI Artificial intelligence
AR Augmented reality
ASR Automatic speech recognition
AUC Area Under the Curve
BERT Bidirectional Encoder Representations from Transformers
BLEU Bilingual evaluation understudy
BP Backpropagation
BPTT Backpropagation through time
BRNN Bidirectional Recurrent Neural Network
BRR Bayesian ridge regression
CAE Contractive Autoencoder
CBOW Continuous Bag of Words
CLIP Contrastive Language-Image Pre-Training
CNN Convolutional neural network
CSV Comma-separated values
CUDA Compute Unified Device Architecture
CV Computer Vision, Cross validation, Coefficient of variation
DL Deep learning
DNN Deep neural network
DQN Deep Q-Learning
EDA Exploratory data analysis
FPR False positive rate
GAN Generative Adversarial Network
GBM Gradient Boosting Machine
GLM Generalized Linear Model
GLUE General Language Understanding Evaluation
GMM Gaussian mixture model
GPR Gaussian process regression
GPT Generative Pre-Training
GRU Gated recurrent unit
ICA Independent component analysis
KNN K-nearest neighbors
LAION Large-scale Artificial Intelligence Open Network
LaMDA Language Models for Dialog Applications
LLM Large language model
LLS Linear least squares
LSTM Long short-term memory
MAPE Mean absolute percentage error
MNIST Modified National Institute of Standards and Technology
MSE Mean squared error
ML Machine learning
NER Named entity recognition
NST Neural style transfer
NLP Natural Language Processing
NLU Natural Language Understanding
NMF Non-negative matrix factorization
NN Neural network
OCR Optical character recognition
OOF Out-of-fold
PaLM Pathways Language Model
PCA Principal component analysis
PFE Probabilistic facial embedding
PPO Proximal Policy Optimization
R2 R-squared
RF Random forest
REALM Retrieval-Augmented Language Model Pre-Training
ReLU Rectified Linear Unit
RETRO Retrieval Enhanced Transformer
RFE Recursive Feature Elimination
RL Reinforcement learning
RLHF Reinforcement Learning from Human Feedback
RMSLE Root mean squared logarithmic error
RMSE Root mean squared error
RNN Recurrent neural network
RoBERTa Robustly Optimized BERT Pretraining Approach
ROC Receiver operating characteristic
RPA Robotic Process Automation
SL Supervised learning
ST Style transfer
STaR Self-Taught Reasoner
SVM Support vector machine
SVR Support Vector Regression
T5 Text-To-Text Transfer Transformer
tf-idf term frequency–inverse document frequency
t-SNE t-distributed stochastic neighbor embedding
UL Unsupervised learning
VR Virtual reality
ViT Vision Transformer