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Found 9 papers, 1 papers with code
Robust Class-Conditional Distribution Alignment for Partial Domain Adaptation
Unwanted samples from private source categories in the learning objective of a partial domain adaptation setup can lead to negative transfer and reduce classification performance.
A Robust Negative Learning Approach to Partial Domain Adaptation Using Source Prototypes
This work proposes a robust Partial Domain Adaptation (PDA) framework that mitigates the negative transfer problem by incorporating a robust target-supervision strategy.
Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation
The standard closed-set domain adaptation approaches seek to mitigate distribution discrepancies between two domains under the constraint of both sharing identical label sets.
Coupling Adversarial Learning with Selective Voting Strategy for Distribution Alignment in Partial Domain Adaptation
In contrast to a standard closed-set domain adaptation task, partial domain adaptation setup caters to a realistic scenario by relaxing the identical label set assumption.
Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation
Driven by the motivation that image styles are private to each domain, in this work, we develop a method that identifies outlier classes exclusively from image content information and train a label classifier exclusively on class-content from source images.
Moving Target Defense for Robust Monitoring of Electric Grid Transformers in Adversarial Environments
In this paper, we draw inspiration from work in Moving Target Defense (MTD) and consider a dynamic monitoring strategy that makes it difficult for an attacker to prevent unique identification of behavioral signals that indicate the status of HVTs.
Computer Science and Game Theory
Complexity and Approximation for Discriminating and Identifying Code Problems in Geometric Setups
We show that the discrete version of this problem is NP-complete.
Computational Geometry
Predicting Future Opioid Incidences Today
According to the Center of Disease Control (CDC), the Opioid epidemic has claimed more than 72, 000 lives in the US in 2017 alone.
On Robustness in Multilayer Interdependent Network
We utilized the \emph{Implicative Interdependency Model} model to capture the complex interdependency between the two networks.
