Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:54:29.938766Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:1908.06306.
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Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:54:29.938766Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
56 of 56 outbound references displayed
External citation measurements
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U-CAM: Visual Explanation using Uncertainty based Class Activation Maps Bottom-up and top-down attention for image captioning and visual question answering
Reference 1
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Observation 62530c3d-8f09-4df2-a659-4d44b8cb1f01 · outbound
U-CAM: Visual Explanation using Uncertainty based Class Activation Maps Lawrence Zitnick, and Devi Parikh
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U-CAM: Visual Explanation using Uncertainty based Class Activation Maps Lawrence Zitnick, Devi Parikh, and Dhruv Batra
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U-CAM: Visual Explanation using Uncertainty based Class Activation Maps From captions to visual concepts and back
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U-CAM: Visual Explanation using Uncertainty based Class Activation Maps Dropout as a bayesian approximation: Representing model uncertainty in deep learning
Reference 16
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U-CAM: Visual Explanation using Uncertainty based Class Activation Maps A theoretically grounded application of dropout in recurrent neural networks
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U-CAM: Visual Explanation using Uncertainty based Class Activation Maps Making the v in vqa matter: Elevating the role of image understanding in visual question answer- ing
Reference 18
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U-CAM: Visual Explanation using Uncertainty based Class Activation Maps Multimodal explanations: Justifying decisions and pointing to the evidence
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Reference 22
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U-CAM: Visual Explanation using Uncertainty based Class Activation Maps Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
Reference 23
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Observation 3f29ae10-b46a-4ea3-905e-bc82c7ebad07 · outbound
U-CAM: Visual Explanation using Uncertainty based Class Activation Maps What uncertainties do we need in bayesian deep learning for computer vision? In Advances in neural information processing systems, pages 5574–5584, 2017
Reference 24
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U-CAM: Visual Explanation using Uncertainty based Class Activation Maps Bilin- ear attention networks
Reference 26
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U-CAM: Visual Explanation using Uncertainty based Class Activation Maps Hadamard Product for Low-rank Bilinear Pooling
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U-CAM: Visual Explanation using Uncertainty based Class Activation Maps Baby talk: Understanding and generating image descriptions
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U-CAM: Visual Explanation using Uncertainty based Class Activation Maps Curriculum based Dropout Discriminator for Domain Adaptation
Reference 29
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Reference 30
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Reference 31
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Reference 32
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U-CAM: Visual Explanation using Uncertainty based Class Activation Maps Hierarchical question-image co-attention for visual question answering
Reference 33
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U-CAM: Visual Explanation using Uncertainty based Class Activation Maps Learning semantic sentence embeddings using sequential pair-wise discriminator
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Reference 56
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No inbound Pith citation observations are available.