Neural Image Compression and Explanation | Paper Citation Record

Observation a9533a28-5a89-4a17-8ab2-34f48d04ca03 · outbound

This paper cites Deep residual learning for image recognition,.

Neural Image Compression and Explanation Deep residual learning for image recognition,

Reference 1

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Observation d801c923-0dd7-4ee5-96d3-fa77542ce278 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Neural Image Compression and Explanation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2

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Observation 5417b79a-9c64-4d75-9019-3d10261eeea6 · outbound

This paper cites Exploring Neural Transducers for End-to-End Speech Recognition.

Neural Image Compression and Explanation Exploring Neural Transducers for End-to-End Speech Recognition

Reference 3

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Observation 6e959616-5f3f-42e5-a3a3-97594e989df3 · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

Neural Image Compression and Explanation Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 4

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Observation 2fdfa513-46f8-45ef-8442-e371df7c014a · outbound

This paper cites Visualizing and understanding convolutional networks,.

Neural Image Compression and Explanation Visualizing and understanding convolutional networks,

Reference 5

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Observation a90a9327-a31b-4f4e-a947-4206a3ce94c8 · outbound

This paper cites On pixel-wise explanations for non-linear classiﬁer decisions by layer-wise relevance propagation,.

Neural Image Compression and Explanation On pixel-wise explanations for non-linear classiﬁer decisions by layer-wise relevance propagation,

Reference 6

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Observation 2888ba60-315c-4b60-8504-89a60cd77bbc · outbound

This paper cites Devnet: A deep event network for multimedia event detection and evidence re- counting,.

Neural Image Compression and Explanation Devnet: A deep event network for multimedia event detection and evidence re- counting,

Reference 7

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Observation 55e2fa38-a8fb-448a-ba19-fa7f3a9a83aa · outbound

This paper cites Why should i trust you?: Explaining the predictions of any classiﬁer,.

Neural Image Compression and Explanation Why should i trust you?: Explaining the predictions of any classiﬁer,

Reference 8

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Observation 61fa3823-b144-4406-b8fb-d53b5546699a · outbound

This paper cites Real time image saliency for black box classiﬁers,.

Neural Image Compression and Explanation Real time image saliency for black box classiﬁers,

Reference 9

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Observation fa18aaa3-1c88-467f-a963-24a7517ce19d · outbound

This paper cites Interpretable explanations of black boxes by meaningful perturbation,.

Neural Image Compression and Explanation Interpretable explanations of black boxes by meaningful perturbation,

Reference 10

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Observation f37ab1ab-de45-462a-bfde-6d99230d1529 · outbound

This paper cites Understanding Neural Networks through Representation Erasure.

Neural Image Compression and Explanation Understanding Neural Networks through Representation Erasure

Reference 11

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Observation 3cdc494a-b280-4b29-9016-be05ddd0f9ed · outbound

This paper cites A uniﬁed approach to interpreting model predictions,.

Neural Image Compression and Explanation A uniﬁed approach to interpreting model predictions,

Reference 12

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Observation 1c3ee7a2-f8ab-4677-85b4-4dea080f1946 · outbound

This paper cites Learning important features through propagating activation differences,.

Neural Image Compression and Explanation Learning important features through propagating activation differences,

Reference 13

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Observation 43773e50-beef-43e8-9486-9822f790886e · outbound

This paper cites Global model interpretation via recursive partitioning,.

Neural Image Compression and Explanation Global model interpretation via recursive partitioning,

Reference 14

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Observation 4d8e4e1f-565f-4909-ba9a-92ba32274e47 · outbound

This paper cites Interpreting Deep Neural Networks Through Variable Importance.

Neural Image Compression and Explanation Interpreting Deep Neural Networks Through Variable Importance

Reference 15

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Observation 41426dab-3884-4d90-b0f8-8970415908c8 · outbound

This paper cites White paper: Cisco visual networking index: Forecast and trends, 2017–2022,.

Neural Image Compression and Explanation White paper: Cisco visual networking index: Forecast and trends, 2017–2022,

Reference 16

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Observation c1cceaf8-c498-40cd-8d56-5cce12d6244c · outbound

This paper cites End-to-end optimized image compression,.

Neural Image Compression and Explanation End-to-end optimized image compression,

Reference 17

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Observation cdaa89bb-169a-4aab-8753-1accf02bc9d2 · outbound

This paper cites Semantic perceptual image compression using deep convolution networks,.

Neural Image Compression and Explanation Semantic perceptual image compression using deep convolution networks,

Reference 18

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Observation 22d3d27e-cbb7-40c5-bacb-41d99589a6d8 · outbound

This paper cites Improved lossy image compres- sion with priming and spatially adaptive bit rates for recurrent networks,.

Neural Image Compression and Explanation Improved lossy image compres- sion with priming and spatially adaptive bit rates for recurrent networks,

Reference 19

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Observation 089302c4-bb9d-4e40-9829-23bfde845304 · outbound

This paper cites Neural multi-scale image compression,.

Neural Image Compression and Explanation Neural multi-scale image compression,

Reference 20

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Observation bb5dbf0d-31a3-4424-8348-9fff08dc170c · outbound

This paper cites Learning deep features for discriminative localization,.

Neural Image Compression and Explanation Learning deep features for discriminative localization,

Reference 21

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Observation 954f72ff-9568-4a06-8a49-c7e80fbdc9b4 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient- based localization,.

Neural Image Compression and Explanation Grad-cam: Visual explanations from deep networks via gradient- based localization,

Reference 22

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Observation a5e09e5f-5ae6-4450-b51c-769b62dc0868 · outbound

This paper cites Learning to Explain: An Information-Theoretic Perspective on Model Interpretation.

Neural Image Compression and Explanation Learning to Explain: An Information-Theoretic Perspective on Model Interpretation

Reference 23

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Observation 52168f09-c623-4dd3-818b-9bce7e1647d8 · outbound

This paper cites Explaining a black-box using Deep Variational Information Bottleneck Approach.

Neural Image Compression and Explanation Explaining a black-box using Deep Variational Information Bottleneck Approach

Reference 24

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Observation 1854e5b7-4ec6-4e05-84e6-4db0d62b713c · outbound

This paper cites Machine learning interpretability: A survey on methods and metrics,.

Neural Image Compression and Explanation Machine learning interpretability: A survey on methods and metrics,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:18:46.301705Z

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Observation 5e8573ed-0665-45a2-8e3d-f0a62374f554 · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

Neural Image Compression and Explanation Fully convolutional networks for semantic segmentation,

Reference 26

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Observation 3f63e7f4-d261-4a92-838c-3a0065bcf5e3 · outbound

This paper cites Mask r-cnn,.

Neural Image Compression and Explanation Mask r-cnn,

Reference 27

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Observation b9abe656-1d6c-4c0e-bff2-24fd88dcff32 · outbound

This paper cites Encoder- decoder with atrous separable convolution for semantic image segmen- tation,.

Neural Image Compression and Explanation Encoder- decoder with atrous separable convolution for semantic image segmen- tation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:18:46.143098Z

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Observation 3e5a2e7e-9dad-41e7-9dd2-41150cb9a7a7 · outbound

This paper cites Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation,.

Neural Image Compression and Explanation Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation,

Reference 29

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Observation 437541c6-d5f4-4e49-94e5-753ab11c9c56 · outbound

This paper cites From image-level to pixel-level labeling with convolutional networks,.

Neural Image Compression and Explanation From image-level to pixel-level labeling with convolutional networks,

Reference 30

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This paper cites What’s the point: Semantic segmentation with point supervision,.

Neural Image Compression and Explanation What’s the point: Semantic segmentation with point supervision,

Reference 31

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This paper cites Unsupervised object segmentation by redrawing,.

Neural Image Compression and Explanation Unsupervised object segmentation by redrawing,

Reference 32

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This paper cites Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation,.

Neural Image Compression and Explanation Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation,

Reference 33

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This paper cites Scribblesup: Scribble-supervised convolutional networks for semantic segmentation,.

Neural Image Compression and Explanation Scribblesup: Scribble-supervised convolutional networks for semantic segmentation,

Reference 34

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Observation c71d6500-100e-42a7-bdfb-28ee4182ee64 · outbound

This paper cites The jpeg still picture compression standard,.

Neural Image Compression and Explanation The jpeg still picture compression standard,

Reference 35

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Observation c251d8c5-43f2-473a-afe7-9dd9e4e7853d · outbound

This paper cites Sayood, Lossless compression handbook.

Neural Image Compression and Explanation Sayood, Lossless compression handbook

Reference 36

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Observation 2b644ab2-8a85-49c6-93a4-4d93289ecb95 · outbound

This paper cites End-to-end Optimized Image Compression.

Neural Image Compression and Explanation End-to-end Optimized Image Compression

Reference 37

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This paper cites Variable rate image compression 10 VOLUME 4, 2016 X. Li et al.: Neural Image Compression and Explanation with recurrent neural networks,.

Neural Image Compression and Explanation Variable rate image compression 10 VOLUME 4, 2016 X. Li et al.: Neural Image Compression and Explanation with recurrent neural networks,

Reference 38

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This paper cites Full resolution image compression with recurrent neural networks,.

Neural Image Compression and Explanation Full resolution image compression with recurrent neural networks,

Reference 39

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This paper cites Lossy Image Compression with Compressive Autoencoders.

Neural Image Compression and Explanation Lossy Image Compression with Compressive Autoencoders

Reference 40

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This paper cites Learning convolutional networks for content-weighted image compression,.

Neural Image Compression and Explanation Learning convolutional networks for content-weighted image compression,

Reference 41

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Observation 3dd933dd-46c2-4f4d-8ecc-a4cc3135ed4e · outbound

This paper cites Stochastic Variational Optimization.

Neural Image Compression and Explanation Stochastic Variational Optimization

Reference 42

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This paper cites Simple statistical gradient-following algorithms for con- nectionist reinforcement learning,.

Neural Image Compression and Explanation Simple statistical gradient-following algorithms for con- nectionist reinforcement learning,

Reference 43

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This paper cites Categorical reparameterization with gumbel-softmax,.

Neural Image Compression and Explanation Categorical reparameterization with gumbel-softmax,

Reference 44

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Observation f5214059-5c5a-41fa-a6bf-e7c9bb153643 · outbound

This paper cites The concrete distribution: A continuous relaxation of discrete random variables,.

Neural Image Compression and Explanation The concrete distribution: A continuous relaxation of discrete random variables,

Reference 45

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Observation a04fedb0-e9b8-4023-a4d3-9f06d710888a · outbound

This paper cites Rebar: Low-variance, unbiased gradient estimates for discrete latent variable models,.

Neural Image Compression and Explanation Rebar: Low-variance, unbiased gradient estimates for discrete latent variable models,

Reference 46

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This paper cites Backprop- agation through the void: Optimizing control variates for black-box gradi- ent estimation,.

Neural Image Compression and Explanation Backprop- agation through the void: Optimizing control variates for black-box gradi- ent estimation,

Reference 47

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Observation 4e7cc73c-ce53-4255-8cf0-ed818883b54f · outbound

This paper cites Learning sparse neural net- works through l0 regularization,.

Neural Image Compression and Explanation Learning sparse neural net- works through l0 regularization,

Reference 48

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Observation d0268721-c3f6-4078-8a6d-7babe0076035 · outbound

This paper cites Gradient-based learning applied to document recognition,.

Neural Image Compression and Explanation Gradient-based learning applied to document recognition,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:18:45.106878Z

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Observation d5c8a337-9b36-411f-9355-090acde6eac5 · outbound

This paper cites Learning multiple layers of features from tiny images,.

Neural Image Compression and Explanation Learning multiple layers of features from tiny images,

Reference 50

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Source-reported events for the cited work

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This paper cites Caltech-256 object category dataset,.

Neural Image Compression and Explanation Caltech-256 object category dataset,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:18:44.910579Z

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Observation 26dc4b4e-7bcd-4a88-a3c9-c346e005309b · outbound

This paper cites Adam: A method for stochastic optimization,.

Neural Image Compression and Explanation Adam: A method for stochastic optimization,

Reference 52

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Observation b0d39956-460e-4031-81c2-d75f4aa4bfb3 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Neural Image Compression and Explanation Imagenet: A large-scale hierarchical image database,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:18:44.815384Z

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Observation 4f8910cf-1402-4c82-97f5-34d5a9999064 · outbound

This paper cites Real-time adaptive image compression,.

Neural Image Compression and Explanation Real-time adaptive image compression,

Reference 54

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