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Found 7 papers, 1 papers with code
Gradient Based Activations for Accurate Bias-Free Learning
The main drawback in such a model is that it directly introduces a trade-off with accuracy as the features that the discriminator deems to be sensitive for discrimination of bias could be correlated with classification.
Exploring Dropout Discriminator for Domain Adaptation
Among the methodologies used, that of adversarial learning is widely applied to solve many deep learning problems along with domain adaptation.
Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning
In order to save the human effort in generating annotations required by state-of-the-art, we propose a fingerprint roi segmentation model which aligns the features of fingerprint images derived from the unseen sensor such that they are similar to the ones obtained from the fingerprints whose ground truth roi masks are available for training.
Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints
The effectiveness of fingerprint-based authentication systems on good quality fingerprints is established long back.
Collaborative Learning to Generate Audio-Video Jointly
Towards this, we propose a method that demonstrates that we are able to generate naturalistic samples of video and audio data by the joint correlated generation of audio and video modalities.
Domain Impression: A Source Data Free Domain Adaptation Method
This practical scenario creates a bottleneck in the domain adaptation problem.
Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting
We define distillation losses in terms of aleatoric uncertainty and self-attention.
