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06/13/2023
Learning under Selective Labels with Data from Heterogeneous Decision-makers: An Instrumental Variable Approach
We study the problem of learning with selectively labeled data, which ar...
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03/13/2021
Internal Wasserstein Distance for Adversarial Attack and Defense
Deep neural networks (DNNs) are vulnerable to adversarial examples that ...
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03/13/2020
BigGAN-based Bayesian reconstruction of natural images from human brain activity
In the visual decoding domain, visually reconstructing presented images ...
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03/27/2019
Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis
Generating images via the generative adversarial network (GAN) has attra...
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02/16/2019
