NDCG measures ranking quality with graded relevance scores
Image: Vyacheslav Argenberg, CC BY 4.0, via Wikimedia Commons
NDCG measures ranking quality with graded relevance scores
score matching does: learns the gradient of the log-density without normalizing
Matching score learns gradient of log-density without normalizing
denoising score matching does: learns to denoise, which equals learning the score
Denoising score matching learns to denoise by estimating the score (gradient of log probability) of data distributions
IS (Inception Score) measures: diversity and quality of generated images
Inception Score quantifies diversity and quality of generated images
Boosting (machine learning)
Boosting reduces bias in ML models
BLEU vs ROUGE: BLEU measures precision of n-grams, ROUGE measures recall
BLEU measures precision of n-grams, ROUGE measures recall
Graduate Aptitude Test in Engineering
GATE exam assesses engineering and science undergraduate subjects for postgraduate admissions in India
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