Adversarial – Newsemia

Investigating object compositionality in Generative Adversarial Networks.

NewsemiaAugust 1, 2020

by NewsemiaAugust 1, 202000

Investigating object compositionality in Generative Adversarial Networks. Neural Netw. 2020 Jul 13;130:309-325 Authors: van Steenkiste S, Kurach K, Schmidhuber J, Gelly S Abstract Deep generative...

AI/ML

Generative Adversarial Domain Adaptation for Nucleus Quantification in Images of Tissue Immunohistochemically Stained for Ki-67.

NewsemiaJuly 31, 2020

by NewsemiaJuly 31, 202000

Generative Adversarial Domain Adaptation for Nucleus Quantification in Images of Tissue Immunohistochemically Stained for Ki-67. JCO Clin Cancer Inform. 2020 Jul;4:666-679 Authors: Zhang X, Cornish...

AI/ML

Fully Automatic Arteriovenous Segmentation in Retinal Images via Topology-Aware Generative Adversarial Networks.

NewsemiaJuly 30, 2020

by NewsemiaJuly 30, 202000

Related Articles Fully Automatic Arteriovenous Segmentation in Retinal Images via Topology-Aware Generative Adversarial Networks. Interdiscip Sci. 2020 Jul 28;: Authors: Yang J, Dong X, Hu...

AI/ML

A practical application of generative adversarial networks for RNA-seq analysis to predict the molecular progress of Alzheimer's disease.

NewsemiaJuly 27, 2020

by NewsemiaJuly 27, 202000

Related Articles A practical application of generative adversarial networks for RNA-seq analysis to predict the molecular progress of Alzheimer’s disease. PLoS Comput Biol. 2020 Jul...

AI/ML

Does Adversarial Transferability Indicate Knowledge Transferability?. (arXiv:2006.14512v1 [cs.LG])

NewsemiaJune 27, 2020

by NewsemiaJune 27, 202000

Despite the immense success that deep neural networks (DNNs) have achieved, adversarial examples, which are perturbed inputs that aim to mislead DNNs to make mistakes...

AI/ML

Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization. (arXiv:2006.13258v1 [cs.LG])

NewsemiaJune 25, 2020

by NewsemiaJune 25, 202000

Adversarial imitation learning alternates between learning a discriminator — which tells apart expert’s demonstrations from generated ones — and a generator’s policy to produce trajectories...

AI/ML

Good luck using generative adversarial networks in real life – they’re difficult to train and finicky to fix

NewsemiaJune 19, 2020

by NewsemiaJune 19, 202000

An AI engineer recounts his previous woes to The Register Generative adversarial networks (GANs) are a brilliant idea: get two neural networks and pit them...

AI/ML

Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. (arXiv:2005.10622v1 [cs.LG])

NewsemiaMay 24, 2020

by NewsemiaMay 24, 2020026

Generative adversarial imitation learning (GAIL) has shown promising results by taking advantage of generative adversarial nets, especially in the field of robot learning. However, the...

AI/ML

Adversarial Canonical Correlation Analysis. (arXiv:2005.10349v1 [cs.LG])

NewsemiaMay 23, 2020

by NewsemiaMay 23, 2020020

Canonical Correlation Analysis (CCA) is a statistical technique used to extract common information from multiple data sources or views. It has been used in various...

AI/ML

An Adversarial Approach for Explaining the Predictions of Deep Neural Networks. (arXiv:2005.10284v1 [cs.LG])

NewsemiaMay 22, 2020

by NewsemiaMay 22, 2020015

Machine learning models have been successfully applied to a wide range of applications including computer vision, natural language processing, and speech recognition. A successful implementation...

AI/ML

Adversarial Stress Testing of Lifetime Distributions. (arXiv:2003.12587v1 [cs.AI])

NewsemiaMarch 31, 2020

by NewsemiaMarch 31, 2020053

In this paper we put forward the viewpoint that the notion of stress testing financial institutions and engineered systems can also be made viable appropos...

AI/ML

Adversarial System Variant Approximation to Quantify Process Model Generalization. (arXiv:2003.12168v1 [cs.AI])

NewsemiaMarch 30, 2020

by NewsemiaMarch 30, 202008

In process mining, process models are extracted from event logs using process discovery algorithms and are commonly assessed using multiple quality dimensions. While the metrics...

FlexAdapt: Flexible cycle-consistent adversarial domain adaptation

NewsemiaMarch 20, 2020

by NewsemiaMarch 20, 202004

Mathur, A; Isopoussu, A; Kawsar, F; Berthouze, NB; Lane, ND; (2020) FlexAdapt: Flexible cycle-consistent adversarial domain adaptation. In: (Proceedings) 2019 18th IEEE International Conference On...

AI/ML

Learning to learn from data: Using deep adversarial learning to construct optimal statistical procedures.

NewsemiaMarch 15, 2020

by NewsemiaMarch 15, 2020049

Related Articles Learning to learn from data: Using deep adversarial learning to construct optimal statistical procedures. Sci Adv. 2020 Feb;6(9):eaaw2140 Authors: Luedtke A, Carone M,...

AI/ML

Automated fibroglandular tissue segmentation in breast MRI using generative adversarial networks.

NewsemiaMarch 12, 2020

by NewsemiaMarch 12, 2020011

Related Articles Automated fibroglandular tissue segmentation in breast MRI using generative adversarial networks. Phys Med Biol. 2020 Mar 10;: Authors: Ma X, Wang J, Zheng...

AI/ML

Lesion Segmentation in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets.

NewsemiaMarch 10, 2020

by NewsemiaMarch 10, 2020029

Related Articles Lesion Segmentation in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets. IEEE/ACM Trans Comput Biol Bioinform. 2020 Mar 05;: Authors: Xing J, Li Z,...

AI/ML

Unsupervised X-ray image segmentation with task driven generative adversarial networks.

NewsemiaMarch 8, 2020

by NewsemiaMarch 8, 2020033

Related Articles Unsupervised X-ray image segmentation with task driven generative adversarial networks. Med Image Anal. 2020 Feb 07;62:101664 Authors: Zhang Y, Miao S, Mansi T,...

AI/ML

Preventing Imitation Learning with Adversarial Policy Ensembles. (arXiv:2002.01059v1 [cs.LG])

NewsemiaFebruary 5, 2020

by NewsemiaFebruary 5, 2020036

Imitation learning can reproduce policies by observing experts, which poses a problem regarding policy privacy. Policies, such as human, or policies on deployed robots, can...

AI/ML

Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks. (arXiv:2002.00011v1 [eess.IV])

NewsemiaFebruary 4, 2020

by NewsemiaFebruary 4, 2020038

Deep learning is a popular and powerful tool in computed tomography (CT) image processing such as organ segmentation, but its requirement of large training datasets...

Exponential Family Estimation via Adversarial Dynamics Embedding

NewsemiaJanuary 22, 2020

by NewsemiaJanuary 22, 2020016

Dai, B; Liu, Z; Dai, H; He, N; Gretton, A; Le, S; Schurmaans, D; (2019) Exponential Family Estimation via Adversarial Dynamics Embedding. In: Wallach, H...

Newsemia

Tag: Adversarial

Investigating object compositionality in Generative Adversarial Networks.

Generative Adversarial Domain Adaptation for Nucleus Quantification in Images of Tissue Immunohistochemically Stained for Ki-67.

Fully Automatic Arteriovenous Segmentation in Retinal Images via Topology-Aware Generative Adversarial Networks.

A practical application of generative adversarial networks for RNA-seq analysis to predict the molecular progress of Alzheimer's disease.

Does Adversarial Transferability Indicate Knowledge Transferability?. (arXiv:2006.14512v1 [cs.LG])

Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization. (arXiv:2006.13258v1 [cs.LG])

Good luck using generative adversarial networks in real life – they’re difficult to train and finicky to fix

Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. (arXiv:2005.10622v1 [cs.LG])

Adversarial Canonical Correlation Analysis. (arXiv:2005.10349v1 [cs.LG])

An Adversarial Approach for Explaining the Predictions of Deep Neural Networks. (arXiv:2005.10284v1 [cs.LG])

Adversarial Stress Testing of Lifetime Distributions. (arXiv:2003.12587v1 [cs.AI])

Adversarial System Variant Approximation to Quantify Process Model Generalization. (arXiv:2003.12168v1 [cs.AI])

FlexAdapt: Flexible cycle-consistent adversarial domain adaptation

Learning to learn from data: Using deep adversarial learning to construct optimal statistical procedures.

Automated fibroglandular tissue segmentation in breast MRI using generative adversarial networks.

Lesion Segmentation in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets.

Unsupervised X-ray image segmentation with task driven generative adversarial networks.

Preventing Imitation Learning with Adversarial Policy Ensembles. (arXiv:2002.01059v1 [cs.LG])

Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks. (arXiv:2002.00011v1 [eess.IV])

Exponential Family Estimation via Adversarial Dynamics Embedding

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