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Found 7 papers, 2 papers with code
ATRO: Adversarial Training with a Rejection Option
In this paper, in order to acquire a more reliable classifier against adversarial attacks, we propose the method of Adversarial Training with a Rejection Option (ATRO).
Classification with Rejection Based on Cost-sensitive Classification
The goal of classification with rejection is to avoid risky misclassification in error-critical applications such as medical diagnosis and product inspection.
Active Classification with Uncertainty Comparison Queries
We then propose an efficient adaptive labeling algorithm using the proposed oracle and the positivity comparison oracle.
Classification from Triplet Comparison Data
Although learning from triplet comparison data has been considered in many applications, an important fundamental question of whether we can learn a classifier only from triplet comparison data has remained unanswered.
Variational Domain Adaptation
It reformulates the posterior with a natural paring $\langle, \rangle: \mathcal{Z} \times \mathcal{Z}^* \rightarrow \Real$, which can be expanded to uncountable infinite domains such as continuous domains as well as interpolation.
Bayesian posterior approximation via greedy particle optimization
Another example is the Stein points (SP) method, which minimizes kernelized Stein discrepancy directly.
Stochastic Divergence Minimization for Biterm Topic Model
As the emergence and the thriving development of social networks, a huge number of short texts are accumulated and need to be processed.
