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a18aa23ee676d7f5ffb34cf16df3e08c-Supplemental.pdf

Neural Information Processing Systems

Sampling is an important research problem in statistics learning with many applications such as Bayesian inference [1], multi-arm bandit optimization [2], and reinforcement learning [3].


a18aa23ee676d7f5ffb34cf16df3e08c-Paper.pdf

Neural Information Processing Systems

Sampling is an important research problem in statistics learning with many applications such as Bayesian inference [1], multi-arm bandit optimization [2], and reinforcement learning [3].







TheDilemmaofTriHardLossandan Element-WeightedTriHardLossforPerson Re-Identification

Neural Information Processing Systems

Features ofthese characteristics should beclustered between anchors and positive samples while are also utilized to repel between anchors and hard negative samples. It is harmful for learning mutual features within classes.