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bayesian neural networks uncertainty probabilistic deep learning, bayesian neural, networks uncertainty probabilistic, bnn cifar elbo kl map mc, bayesian neural networks uncertainty & probabilistic deep learning, bayesian neural networks
25,939 technical terms and definitions
bayesian neural networks uncertainty probabilistic deep learning, bayesian neural, networks uncertainty probabilistic, bnn cifar elbo kl map mc, bayesian neural networks uncertainty & probabilistic deep learning, bayesian neural networks
gaussian processes kernel methods non-parametric regression, gaussian processes kernel methods non parametric regression, gaussian processes, kernel methods non, 1d gp passed rbf uci x1, gaussian processes kernel, processes kernel methods
support vector machines svm kernel classifiers, support vector, machines svm kernel, l2 passed rbf svm x1 x2, support vector machines svm & kernel classifiers, support vector machines, vector machines svm, svm kernel classifiers, svm kernel
k-means clustering vector quantization unsupervised learning, k means clustering vector quantization unsupervised learning, k means, clustering vector quantization, mnist passed, k-means clustering vector, vector quantization unsupervised
dbscan density-based clustering spatial analysis, dbscan density based clustering spatial analysis, dbscan density clustering spatial analysis, dbscan density, clustering spatial analysis, 2d dbscan knn nn passed, dbscan density-based
hierarchical clustering agglomerative dendrogram, hierarchical clustering, clustering agglomerative, passed, hierarchical clustering agglomerative & dendrogram, hierarchical clustering agglomerative, clustering agglomerative dendrogram
principal component analysis pca dimensionality reduction, principal component, analysis pca dimensionality, 2d 3d mnist passed pca svd, principal component analysis pca & dimensionality reduction, principal component analysis, analysis pca
t-sne umap non-linear embedding visualization, t sne umap non linear embedding visualization, t sne, umap non linear, 2d 3d kl mnist nn passed, t-sne & umap non-linear embedding & visualization, t-sne umap non-linear, t-sne umap
time series forecasting arima prophet, time series, forecasting arima prophet, acf adf ar arima arimax m4, time series forecasting arima & prophet, time series forecasting, series forecasting arima, series forecasting, forecasting arima
bert transformer language models pretraining, bert transformer, language models pretraining, albert bert cls crf glue l2, bert transformer language models & pretraining, bert transformer language, transformer language models
text classification sentiment analysis, text classification, classification sentiment, f1 idf passed svm tf tfidf, text classification & sentiment analysis, text classification sentiment, classification sentiment analysis, sentiment analysis
machine translation seq2seq neural machine translation, machine translation, seq2seq neural machine, bleu bpe cat meteor nlp nmt, machine translation seq2seq & neural machine translation, machine translation seq2seq, translation seq2seq
question answering machine reading comprehension, question answering, machine reading comprehension, bert dcn em f1 mrqa passed, question answering machine reading & comprehension, question answering machine, answering machine reading
data augmentation mixup cutmix augmentation strategies, data augmentation, mixup cutmix augmentation, cifar passed, data augmentation mixup cutmix & augmentation strategies, data augmentation mixup, augmentation mixup cutmix, mixup cutmix
adversarial training robustness adversarial examples, adversarial training, robustness adversarial examples, cifar fgsm l2 mnist passed pgd, adversarial training robustness & adversarial examples, adversarial training robustness
transfer learning fine-tuning adaptation, transfer learning fine tuning adaptation, transfer learning, fine tuning adaptation, bert coco gpt lr mmd nlp, transfer learning fine-tuning & adaptation, transfer learning fine-tuning
few-shot learning prototypical networks meta-learning, few shot learning prototypical networks meta learning, few shot, learning prototypical networks, maml passed, few-shot learning prototypical networks & meta-learning, few-shot learning
self-supervised learning contrastive representation learning, self supervised learning contrastive representation learning, self supervised, learning contrastive representation, 2n byol gpu nt passed, self-supervised learning contrastive
curriculum learning progressive training strategy, curriculum learning, progressive training strategy, cifar passed, curriculum learning progressive, learning progressive training, learning progressive, progressive training, training strategy
active learning selective annotation strategy, active learning, selective annotation strategy, bald cifar mc mnist nlp passed, active learning selective, learning selective annotation, learning selective, selective annotation
semi-supervised learning pseudo-labeling self-training, semi supervised learning pseudo labeling self training, semi supervised, learning pseudo labeling, cifar kl nlp passed sota stl, semi-supervised learning pseudo-labeling
weakly supervised learning noisy partial labels, weakly supervised, learning noisy partial, cifar passed, weakly supervised learning noisy & partial labels, weakly supervised learning, supervised learning noisy, noisy partial labels
multi-task learning shared representation task transfer, multi task learning shared representation task transfer, multi task, learning shared representation, l2 mtl ner nlp passed pos, multi-task learning shared, shared representation task
ensemble methods boosting bagging voting, ensemble methods, boosting bagging voting, cifar ml mnist passed uci, ensemble methods boosting bagging & voting, ensemble methods boosting, methods boosting bagging, methods boosting
anomaly detection outliers novelty detection, anomaly detection, outliers novelty detection, kdd lof mnist nn passed svdd, anomaly detection outliers & novelty detection, anomaly detection outliers, detection outliers novelty
imbalanced learning class weights resampling strategies, imbalanced learning, class weights resampling, f1 passed smote, imbalanced learning class weights & resampling strategies, imbalanced learning class, learning class weights
out-of-distribution detection robustness generalization, out of distribution detection robustness generalization, out distribution detection robustness generalization, out distribution, detection robustness generalization
multimodal learning vision-language cross-modal, multimodal learning vision language cross modal, multimodal learning, vision language cross, blip clip coco mlp passed vqa, multimodal learning vision-language & cross-modal
reinforcement learning q-learning value-based methods, reinforcement learning q learning value based methods, reinforcement learning q learning value methods, reinforcement learning, q learning value, ai dqn passed rl, learning q-learning
policy gradient actor-critic methods, policy gradient actor critic methods, policy gradient, actor critic methods, a2c a3c ai gae kl passed, policy gradient & actor-critic methods, policy gradient actor-critic, gradient actor-critic methods
learning to rank ranking systems information retrieval, learning rank ranking systems information retrieval, learning rank, ranking systems information, dcg ir letor mrr mslr ndcg, learning to rank ranking systems & information retrieval
bandit algorithms multi-armed bandits exploration, bandit algorithms multi armed bandits exploration, bandit algorithms, multi armed bandits, ctr passed ucb, bandit algorithms multi-armed bandits & exploration, bandit algorithms multi-armed
causal inference treatment effects causal discovery, causal inference, treatment effects causal, ate ihdp ipw ipwate ml nsw, causal inference treatment effects & causal discovery, causal inference treatment, inference treatment effects
graph embeddings node2vec deepwalk graph representation, graph embeddings, node2vec deepwalk graph, passed, graph embeddings node2vec deepwalk & graph representation, graph embeddings node2vec, embeddings node2vec deepwalk, deepwalk graph
zero-shot learning unseen class recognition, zero shot learning unseen class recognition, zero shot, learning unseen class, passed, zero-shot learning unseen, unseen class recognition, zero-shot learning, learning unseen, unseen class
meta-learning model-agnostic meta-learning maml, meta learning model agnostic meta learning maml, meta learning, model agnostic meta, maml passed, meta-learning model-agnostic meta-learning (maml), meta-learning model-agnostic meta-learning
feature selection filter wrapper embedded methods, feature selection, filter wrapper embedded, l1 passed rfe, feature selection filter wrapper & embedded methods, feature selection filter, selection filter wrapper, wrapper embedded methods
visual question answering vqa, visual question, question answering, 1m ai coco gqa id passed, visual question answering (vqa), visual question answering, question answering (vqa), answering (vqa)
semantic segmentation architectures, semantic segmentation, segmentation architectures, 2d ade20k crf fcn pascal voc
object detection frameworks, object detection, detection frameworks, cnn coco nms ssd voc yolo
ranking learning to rank, ranking learning rank, ranking learning, learning rank, ir map marco mrr ms ndcg, ranking & learning to rank, ranking learning to, learning to rank, learning to, to rank
variational autoencoders vaes, variational autoencoders, autoencoders vaes, elbo gan kl mnist vae vq, variational autoencoders (vaes), autoencoders (vaes)
reinforcement learning basics, reinforcement learning, learning basics, ai mdp rl td
transfer learning fine-tuning, transfer learning fine tuning, transfer learning, learning fine, cifar lr, transfer learning & fine-tuning, learning fine-tuning
101239 value-based learning algorithms, 101239 value based learning algorithms, 101239 value learning algorithms, 101239 value, value learning, 1m ai dqn rl td, multi-task learning
101240 actor-critic methods, 101240 actor critic methods, 101240 actor, actor critic, a3c ai ddpg gae td, batch normalization & layer normalization, batch normalization layer, normalization layer normalization, batch normalization
101241 graph neural networks, 101241 graph, graph neural, gin gnn ogb rnn update, activation functions & non-linearity, activation functions non-linearity, activation functions, functions non-linearity
101242 graph convolutional networks, 101242 graph, graph convolutional, gcn, weight initialization strategies, weight initialization, initialization strategies
101243 attention is all you need transformers, 101243 attention, is all you, bert ffn gpt nlp pe qk, gradient descent optimizers, gradient descent, descent optimizers
101244 vision transformers vit, 101244 vision, vision transformers, ade20k cifar sota, loss functions for different tasks, loss functions different, functions different tasks, loss functions, functions different, different tasks