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imbalanced classification smote class weights threshold adjustment, imbalanced classification, smote class weights, 284k cv f1 fn fp nn, imbalanced classification smote class weights & threshold adjustment, imbalanced classification smote
25,939 technical terms and definitions
imbalanced classification smote class weights threshold adjustment, imbalanced classification, smote class weights, 284k cv f1 fn fp nn, imbalanced classification smote class weights & threshold adjustment, imbalanced classification smote
cost-sensitive learning asymmetric loss decision theory, cost sensitive learning asymmetric loss decision theory, cost sensitive, learning asymmetric loss, fn fp fpr ii passed rl, cost-sensitive learning asymmetric loss & decision theory
out-of-distribution detection anomaly likelihood confidence estimation, out of distribution detection anomaly likelihood confidence estimation, out distribution detection anomaly likelihood confidence estimation, out distribution
few-shot learning prototypical networks support-query framework, few shot learning prototypical networks support query framework, few shot, learning prototypical networks, maml nlp passed, few-shot learning prototypical, few-shot learning
meta-learning model-agnostic meta-learning maml fast adaptation, meta learning model agnostic meta learning maml fast adaptation, meta learning, model agnostic meta, lr maml nlp passed rl rl2, meta-learning model-agnostic meta-learning
data augmentation mixup cutmix consistency regularization, data augmentation, mixup cutmix consistency, 1m 4d 50k cifar kl nlp, data augmentation mixup cutmix & consistency regularization, data augmentation mixup, augmentation mixup cutmix
causal inference treatment effect estimation confounding, causal inference, treatment effect estimation, aipw ate hte ihdp ipw iv, causal inference treatment effect estimation & confounding, causal inference treatment, inference treatment
neural architecture search nas automl, neural architecture, search nas automl, cifar dag darts enas gpu nas, neural architecture search nas & automl, neural architecture search, architecture search nas, architecture search, search nas
explainability interpretability shap lime model explanations, explainability interpretability, shap lime model, ale gpu lime passed pd pdp, explainability & interpretability shap & lime model explanations, interpretability shap lime
quantile regression robust estimation conditional quantiles, quantile regression, robust estimation conditional, care cv ols passed, quantile regression robust estimation & conditional quantiles, quantile regression robust
contrastive learning simclr self-supervised representation learning, contrastive learning simclr self supervised representation learning, contrastive learning, simclr self supervised, 1m 2n bn cifar clip gpu, contrastive learning simclr
supervised contrastive learning class-level positive pairs, supervised contrastive learning class level positive pairs, supervised contrastive, learning class level, cifar nt passed, supervised contrastive learning, contrastive learning
knowledge distillation teacher-student learning, knowledge distillation teacher student learning, knowledge distillation, teacher student learning, bert ce cifar kl passed, knowledge distillation teacher-student, teacher-student learning
federated learning distributed privacy-preserving training, federated learning distributed privacy preserving training, federated learning, distributed privacy preserving, cifar dp gdpr hipaa iid mb, federated learning distributed
differential privacy privacy-preserving machine learning, differential privacy privacy preserving machine learning, differential privacy, privacy preserving machine, cifar dp l2 mnist passed sgd, differential privacy privacy-preserving
adversarial robustness adversarial training defense, adversarial robustness, adversarial training defense, cifar fgsm l2 passed pgd, adversarial robustness adversarial training & defense, adversarial robustness adversarial, training defense
object detection yolo r-cnn real-time localization, object detection yolo r cnn real time localization, object detection, yolo r cnn, cnn coco fpn gt iou l1, object detection yolo r-cnn & real-time localization, object detection yolo
semantic segmentation fcn unet pixel-wise classification, semantic segmentation fcn unet pixel wise classification, semantic segmentation, fcn unet pixel, aspp crf fcn passed voc, semantic segmentation fcn unet & pixel-wise classification
panoptic segmentation unified stuff things segmentation, panoptic segmentation, unified stuff things, 3d coco crf fn fp passed, panoptic segmentation unified stuff & things segmentation, panoptic segmentation unified, segmentation unified
instance segmentation mask r-cnn object-level masks, instance segmentation mask r cnn object level masks, instance segmentation, mask r cnn, 3d 5m ap ap50 ap75 cnn, instance segmentation mask r-cnn & object-level masks, segmentation mask
point cloud processing pointnet 3d deep learning, point cloud, processing pointnet 3d, 3d fps knn mlp nn passed, point cloud processing pointnet & 3d deep learning, point cloud processing, cloud processing pointnet, pointnet 3d deep
attention mechanisms self-attention scaled dot-product, attention mechanisms self attention scaled dot product, attention mechanisms, self attention scaled, bleu coco lstm mha nlp passed, attention mechanisms self-attention
transformer architecture attention is all you need, transformer architecture, attention is all, bert bleu coco em ffn gpt, transformer architecture attention, architecture attention is, is all you, all you need, architecture attention
vision transformers vit image classification via transformers, vision transformers vit image classification transformers, vision transformers, vit image classification, 1k cifar clip cls mlp passed, vision transformers vit, transformers vit
lstm recurrent networks sequential modeling, lstm recurrent, networks sequential modeling, bptt cifg crf lstm mnist passed, lstm & recurrent networks sequential modeling, lstm recurrent networks, recurrent networks sequential
gated recurrent units gru simplified gating, gated recurrent, units gru simplified, bleu gru lstm passed, gated recurrent units gru & simplified gating, gated recurrent units, recurrent units gru, gru simplified gating, recurrent units
ensemble methods model combination collective intelligence, ensemble methods, model combination collective, coco ml nlp passed, ensemble methods model combination & collective intelligence, ensemble methods model, methods model combination
hyperparameter optimization bayesian optimization hyperband, hyperparameter optimization, bayesian optimization hyperband, bo ei gp hpo lr mnist, hyperparameter optimization bayesian optimization & hyperband, optimization bayesian
cross-validation model evaluation reliable performance estimation, cross validation model evaluation reliable performance estimation, cross validation, model evaluation reliable, cv loocv mnist passed, cross-validation model evaluation
regularization techniques dropout weight decay early stopping, regularization techniques, dropout weight decay, bert cifar l2 nlp passed, regularization techniques dropout weight decay & early stopping, regularization techniques dropout
batch normalization layer normalization internal covariate shift reduction, batch normalization, layer normalization internal, bert bn cnn ema ln nhw, batch normalization & layer normalization internal covariate shift reduction
loss functions cross-entropy focal loss class imbalance, loss functions cross entropy focal loss class imbalance, loss functions, cross entropy focal, ap ce cifar coco l1 nlp, loss functions cross-entropy focal loss & class imbalance
activation functions relu sigmoid tanh gelu, activation functions, relu sigmoid tanh, bert elu gelu gpt nlp passed, activation functions relu sigmoid tanh & gelu, activation functions relu, functions relu sigmoid, sigmoid tanh gelu
optimization algorithms sgd adam rmsprop, optimization algorithms, sgd adam rmsprop, bert cifar gpt nlp passed sgd, optimization algorithms sgd adam & rmsprop, optimization algorithms sgd, algorithms sgd adam, algorithms sgd, sgd adam
learning rate schedules warmup cosine decay step decay, learning rate, schedules warmup cosine, bert lr nlp passed, learning rate schedules warmup cosine decay & step decay, learning rate schedules, rate schedules warmup, cosine decay step
gradient descent variants batch mini-batch stochastic, gradient descent variants batch mini batch stochastic, gradient descent, variants batch mini, bert cifar gd gpu lr mnist, gradient descent variants batch mini-batch & stochastic
backpropagation gradient flow vanishing and exploding gradients, backpropagation gradient flow vanishing exploding gradients, backpropagation gradient, flow vanishing exploding, mnist passed, backpropagation gradient flow, gradient flow
initialization strategies xavier he kaiming initialization, initialization strategies, xavier he kaiming, lsuv mnist passed qr, initialization strategies xavier he & kaiming initialization, initialization strategies xavier, xavier he
data normalization preprocessing standardization scaling encoding, data normalization, preprocessing standardization scaling, iqr l2 nlp passed, data normalization & preprocessing standardization scaling & encoding, standardization scaling
feature engineering selection dimensionality reduction importance, feature engineering, selection dimensionality reduction, idf mi mnist passed pca shap, feature engineering & selection dimensionality reduction & importance
imbalanced classification sampling strategies smote, imbalanced classification, sampling strategies smote, adasyn f1 ml passed pu smote, imbalanced classification sampling strategies & smote, imbalanced classification sampling
multi-task learning shared representations task weighting, multi task learning shared representations task weighting, multi task, learning shared representations, bert glue lr mnist mtl ner, multi-task learning shared, multi-task learning
transfer learning fine-tuning leveraging pretrained models, transfer learning fine tuning leveraging pretrained models, transfer learning, fine tuning leveraging, bert l2 lr nlp passed sgd, transfer learning fine-tuning, pretrained models
meta-learning learning to learn maml, meta learning learning to learn maml, meta learning learning learn maml, meta learning, learning learn maml, cub fomaml lr maml passed sgd, meta-learning learning to learn & maml, learning to learn
few-shot learning low-data adaptation one-shot learning, few shot learning low data adaptation one shot learning, few shot, learning low data, ci cub maml passed, few-shot learning low-data adaptation & one-shot learning, few-shot learning
zero-shot learning semantic embeddings knowledge transfer, zero shot learning semantic embeddings knowledge transfer, zero shot, learning semantic embeddings, awa cub gzsl passed zsl, zero-shot learning semantic, zero-shot learning
curriculum learning sample ordering progressive difficulty, curriculum learning, sample ordering progressive, cifar mnist nlp passed, curriculum learning sample ordering & progressive difficulty, curriculum learning sample, learning sample
domain adaptation addressing domain shift transfer, domain adaptation, addressing domain shift, da mmd passed rkhs, domain adaptation addressing domain shift & transfer, domain adaptation addressing, adaptation addressing domain
self-supervised learning pretext tasks representation learning, self supervised learning pretext tasks representation learning, self supervised, learning pretext tasks, 1m bert byol cifar gpt nlp, self-supervised learning pretext
graph neural networks message passing graph convolutions, graph neural, networks message passing, gat gcn gnn ogb passed sgd, graph neural networks message passing & graph convolutions, graph neural networks, neural networks message