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SoftMax Inc gumbel-softmax
Gumbel Softmax, supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/normalized+exponential+function+(softmax)+module+804/gumbel+softmax/pmc10708628-112-8-6
Average 90 stars, based on 1 article reviews
gumbel-softmax - by Bioz Stars, 2026-10
90/100 stars

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Article Title: GT-SRR: A Structured Method for Social Relation Recognition with GGNN-Based Transformer.
Article Snippet: It reduces confusion between target and background by utilizing selective interaction, attention masking, and Gumbel-Softmax for efficient training, achieving state-of-the-art performance on various benchmarks.

Article Title: PregAN-NET: Addressing Class Imbalance with GANs in Interpretable Computational Framework for Predicting Safety Profile of Drugs Considering Adverse Reactions During Pregnancy.
Article Snippet: Adverse Drug Reactions (ADRs) during pregnancy pose significant risks to both the mother and the fetus.. Conventional approaches to predict ADR are inadequate due to ethical restrictions that prevent performing medication studies in pregnant women, leading to restricted data samples.. Hence, computational techniques have been promising for ADR predictions.

Article Title: Feature-Driven Semantic Communication for Efficient Image Transmission.
Article Snippet: By relaxing discrete bit-width choices to continuous probability distributions using Gumbel-Softmax, they assigned lower precision to redundant layers and retained high precision for sensitive layers, achieving model compression.

Article Title: Towards Robust Point Cloud Recognition with Sample-Adaptive Auto-Augmentation
Article Snippet: Robust 3D perception amidst corruption is a crucial task in the realm of 3D vision.. Conventional data augmentation methods aimed at enhancing corruption robustness typically apply random transformations to all point cloud samples offline, neglecting sample structure, which often leads to overor underenhancement.. In this study, we propose an alternative approach to address this issue by employing sample-adaptive transformations based on sample structure, through an auto-augmentation framework named AdaptPoint++.

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Article Title: Disentangled representation learning for multi-view clustering via von Mises-Fisher hyperspherical embedding.
Article Snippet: Multi-view clustering has gained significant attention due to its ability to integrate data from diverse perspectives, frequently outperforming single-view approaches.. However, existing methods often assume a Gaussian distribution within the latent embedding space, which can degrade performance when handling highdimensional data or data with complex, non-Gaussian distributions.. These limitations complicate effective data alignment, hinder meaningful information fusion across views, and impair accurate similarity measurement.



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SoftMax Inc normalized exponential function (softmax) module 804
Normalized Exponential Function (Softmax) Module 804, supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/normalized+exponential+function+(softmax)+module+804/exponential+normalizer+softmax/us12322176-130-3-4
Average 90 stars, based on 1 article reviews
normalized exponential function (softmax) module 804 - by Bioz Stars, 2026-10
90/100 stars
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