https://deepai.org/publication/unsupervised-domain-adaptation-with-adversarial-residual-transform-networks
04/25/18 - Domain adaptation is widely used in learning problems lacking labels. Recent researches show that deep adversarial domain adaptati...
domain adaptationunsupervisedadversarialresidualtransform
https://www.academia.edu/99164752/DA_GAN_Instance_Level_Image_Translation_by_Deep_Attention_Generative_Adversarial_Networks
Unsupervised image translation, which aims in translating two independent sets of images, is challenging in discovering the correct correspondences without...
image translationpdfdaganinstance
https://openreview.net/forum?id=BijetnCHBJV&referrer=%5Bthe%20profile%20of%20Krishna%20Kanth%20Nakka%5D(%2Fprofile%3Fid%3D~Krishna_Kanth_Nakka2)
The standard approach to providing interpretability to deep convolutional neural networks (CNNs) consists of visualizing either their feature maps, or the...
bownetworksadversarialexampledetection
https://hermann.ai/knowledge/generative-adversarial-network/
Apr 7, 2023 - Explore the world of Generative Adversarial Networks (GANs) with this in-depth guide covering architecture, training, applications, challenges, and future...
adversarial networksunderstandinggansguidegenerative
https://deepai.org/publication/generative-adversarial-networks-for-lhcb-fast-simulation
03/21/20 - LHCb is one of the major experiments operating at the Large Hadron Collider at CERN. The richness of the physics program and the i...
adversarial networksgenerativelhcbfastsimulation