Self-supervised Latent Space Optimization with Nebula Variational Coding | Paper Citation Record

Observation 47400ab8-b09f-4be0-9692-d811b5e902a0 · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Self-supervised Latent Space Optimization with Nebula Variational Coding BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 1

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Observation 4056c116-f4db-4242-8007-a072435ce14d · outbound

This paper cites Cross-lingual Language Model Pretraining.

Self-supervised Latent Space Optimization with Nebula Variational Coding Cross-lingual Language Model Pretraining

Reference 2

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Observation d689c66c-f0c9-4e81-9e1e-126f5769b8c6 · outbound

This paper cites Shape completion using 3d- encoder-predictor cnns and shape synthesis,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Shape completion using 3d- encoder-predictor cnns and shape synthesis,

Reference 3

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Observation 3038349a-5b0e-415f-a7be-e28c947b6102 · outbound

This paper cites Pcn: Point completion network,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Pcn: Point completion network,

Reference 4

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Observation c0ec87f6-1489-42e6-bd27-12b28f264140 · outbound

This paper cites Forknet: Multi- branch volumetric semantic completion from a single depth image,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Forknet: Multi- branch volumetric semantic completion from a single depth image,

Reference 5

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Observation e5877161-1952-4208-b2e2-853a49d43931 · outbound

This paper cites Efficient dynamic scene deblurring using spatially variant deconvolution network with optical flow guided training,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Efficient dynamic scene deblurring using spatially variant deconvolution network with optical flow guided training,

Reference 6

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Observation bea82bca-3beb-4e3f-bd49-3f92b4fa1973 · outbound

This paper cites Real image denoising based on multi-scale residual dense block and cascaded u-net with block-connection,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Real image denoising based on multi-scale residual dense block and cascaded u-net with block-connection,

Reference 7

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Observation d7369842-a2b0-4752-ab71-da4b6384d8e9 · outbound

This paper cites Cross- modal deep face normals with deactivable skip connections,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Cross- modal deep face normals with deactivable skip connections,

Reference 8

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Observation c4bdffeb-ba9a-48d6-b3e0-56d70fbc9d58 · outbound

This paper cites Bi- directional convlstm u-net with densley connected convolu- tions,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Bi- directional convlstm u-net with densley connected convolu- tions,

Reference 9

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Observation 3d791c42-54ec-4634-bd4b-92a3b88c7825 · outbound

This paper cites Dense 3d object reconstruction from a single depth view,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Dense 3d object reconstruction from a single depth view,

Reference 10

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Observation d26e9f9b-dbc9-4bf2-ae51-26695ef1f88d · outbound

This paper cites Morphing and sampling network for dense point cloud completion,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Morphing and sampling network for dense point cloud completion,

Reference 11

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Observation ac88a861-6934-4b1a-9bcc-a56316c5bd9c · outbound

This paper cites Grnet: Gridding residual network for dense point cloud completion,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Grnet: Gridding residual network for dense point cloud completion,

Reference 12

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Observation c07c3460-dcbc-4167-abd0-e228ab4638d8 · outbound

This paper cites Point cloud completion by skip-attention network with hierarchical folding,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Point cloud completion by skip-attention network with hierarchical folding,

Reference 13

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Observation 4e7e533f-4c21-4117-855c-95f8235f8bed · outbound

This paper cites Deep octree-based cnns with output-guided skip connections for 3d shape and scene comple- tion,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Deep octree-based cnns with output-guided skip connections for 3d shape and scene comple- tion,

Reference 14

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Observation 5c3e3645-d567-425f-8ac0-1414594d4327 · outbound

This paper cites An information-maximization approach to blind separation and blind deconvolution,.

Self-supervised Latent Space Optimization with Nebula Variational Coding An information-maximization approach to blind separation and blind deconvolution,

Reference 15

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Observation 9f5b69dc-2898-40b2-a4ad-f1385204994e · outbound

This paper cites The fixed-point algorithm and maximum like- lihood estimation for independent component analysis,.

Self-supervised Latent Space Optimization with Nebula Variational Coding The fixed-point algorithm and maximum like- lihood estimation for independent component analysis,

Reference 16

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Observation a2952919-7c38-4431-b6f2-1f686a8eb93f · outbound

This paper cites Using discriminant eigenfeatures for image retrieval,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Using discriminant eigenfeatures for image retrieval,

Reference 17

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Observation e4fee22d-d399-4024-9403-1932a8f1b8ca · outbound

This paper cites Stacked denoising autoencoders: Learning useful representa- tions in a deep network with a local denoising criterion,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Stacked denoising autoencoders: Learning useful representa- tions in a deep network with a local denoising criterion,

Reference 18

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Observation a667d9cf-a9ac-44ea-859d-60d83bc71096 · outbound

This paper cites Adversarial Autoencoders.

Self-supervised Latent Space Optimization with Nebula Variational Coding Adversarial Autoencoders

Reference 19

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Observation f05282aa-4bbd-47a8-b6d8-26a4b0f0d2d7 · outbound

This paper cites Generalized denois- ing auto-encoders as generative models,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Generalized denois- ing auto-encoders as generative models,

Reference 20

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Observation d3fa9a5e-55a7-4da0-89eb-910913d3beb0 · outbound

This paper cites Denoising criterion for variational auto-encoding framework.

Self-supervised Latent Space Optimization with Nebula Variational Coding Denoising criterion for variational auto-encoding framework

Reference 21

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Observation 564cf578-c9b5-4919-af4e-8af61e04546f · outbound

This paper cites Pairwise context similarity for image retrieval system using variational auto-encoder,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Pairwise context similarity for image retrieval system using variational auto-encoder,

Reference 22

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Observation c33e77b7-99b9-4b43-b1d0-dfdf67d38a48 · outbound

This paper cites Ganerated hands for real-time 3d hand tracking from monocular rgb,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Ganerated hands for real-time 3d hand tracking from monocular rgb,

Reference 23

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Observation f4fda669-8ebe-41bb-a523-4116f9505d9b · outbound

This paper cites Learning to estimate 3d hand pose from single rgb images,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Learning to estimate 3d hand pose from single rgb images,

Reference 24

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Observation 73f5f3f0-2d86-4b89-a765-3fcea2707a1d · outbound

This paper cites Variational object-aware 3d hand pose from a single rgb image,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Variational object-aware 3d hand pose from a single rgb image,

Reference 25

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Observation 8ad9e9d3-6623-4aa2-83c3-76ab9687a045 · outbound

This paper cites Y-autoencoders: Disentangling latent representations via sequential encoding,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Y-autoencoders: Disentangling latent representations via sequential encoding,

Reference 26

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Observation 4ef5be68-4535-440f-af7f-c49d94c8dc7b · outbound

This paper cites Bae-net: Branched autoencoder for shape co-segmentation,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Bae-net: Branched autoencoder for shape co-segmentation,

Reference 27

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Observation 285c8ad5-2587-48e2-9404-b0d93a880165 · outbound

This paper cites Variational autoen- coders pursue pca directions (by accident),.

Self-supervised Latent Space Optimization with Nebula Variational Coding Variational autoen- coders pursue pca directions (by accident),

Reference 28

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Observation 6edfa5a8-78c6-40f4-a620-f18ab1ead53d · outbound

This paper cites Learning structured output repre- sentation using deep conditional generative models,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Learning structured output repre- sentation using deep conditional generative models,

Reference 29

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Observation 9a4ac299-fdaa-4e3f-9bc0-e8cdea34d0b7 · outbound

This paper cites Generating images with perceptual similarity metrics based on deep networks,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Generating images with perceptual similarity metrics based on deep networks,

Reference 30

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Observation bf32ab6a-a542-49ca-aa5e-a7bb0ccc2d86 · outbound

This paper cites An uncertain future: Forecasting from static images using variational autoen- coders,.

Self-supervised Latent Space Optimization with Nebula Variational Coding An uncertain future: Forecasting from static images using variational autoen- coders,

Reference 31

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Observation 0f26270e-3b20-40b4-8680-8220864e719b · outbound

This paper cites The mnist database of handwritten digits,.

Self-supervised Latent Space Optimization with Nebula Variational Coding The mnist database of handwritten digits,

Reference 32

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Observation d020093c-ef7f-441d-af23-6ade4fe568d3 · outbound

This paper cites Neighborhood repulsed metric learning for kinship verification,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Neighborhood repulsed metric learning for kinship verification,

Reference 33

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Observation 70e5d99b-3baa-42b5-bcc4-92279fa42d50 · outbound

This paper cites Learning descriptors for object recognition and 3d pose estimation,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Learning descriptors for object recognition and 3d pose estimation,

Reference 34

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Observation 9be478ef-f56c-4c2b-bf3a-da95658e573f · outbound

This paper cites Learning local image de- scriptors with deep siamese and triplet convolutional networks by minimising global loss functions,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Learning local image de- scriptors with deep siamese and triplet convolutional networks by minimising global loss functions,

Reference 35

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Observation aa58a183-5fa7-41a5-bc34-36d4a614af88 · outbound

This paper cites No fuss distance metric learning using proxies,.

Self-supervised Latent Space Optimization with Nebula Variational Coding No fuss distance metric learning using proxies,

Reference 36

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Observation 407bdfc8-23b9-4565-855f-47446be0952c · outbound

This paper cites Imagenet classi- fication with deep convolutional neural networks,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Imagenet classi- fication with deep convolutional neural networks,

Reference 37

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Observation d95fdee4-c106-4991-b439-22c5169db743 · outbound

This paper cites Going deeper with convolutions,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Going deeper with convolutions,

Reference 38

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Observation 5c5e012e-30f5-486e-a350-34eb2e502ffd · outbound

This paper cites Sequence to sequence learning with neural networks,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Sequence to sequence learning with neural networks,

Reference 39

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Observation 7ea12e22-ac1d-48f3-bd2e-80968333b3df · outbound

This paper cites Massive exploration of neural machine translation architectures,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Massive exploration of neural machine translation architectures,

Reference 40

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Observation 4bb9ded7-2718-410f-b7f0-68297a49ac29 · outbound

This paper cites Generative adver- sarial nets,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Generative adver- sarial nets,

Reference 41

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Observation 126b2ebf-e7df-40c1-abd3-f3a294dcbe91 · outbound

This paper cites Auxiliary Deep Generative Models.

Self-supervised Latent Space Optimization with Nebula Variational Coding Auxiliary Deep Generative Models

Reference 42

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Observation 2a141f89-cb52-4623-8514-bb0457b93281 · outbound

This paper cites Findings of the 2016 conference on machine translation,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Findings of the 2016 conference on machine translation,

Reference 43

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Observation a3202e54-9d4b-4bda-9edc-e86362e578c1 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 44

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Observation ed3cdc03-e517-4846-9e64-c7269da4865e · outbound

This paper cites 3D Hand Pose Tracking and Estimation Using Stereo Matching.

Self-supervised Latent Space Optimization with Nebula Variational Coding 3D Hand Pose Tracking and Estimation Using Stereo Matching

Reference 45

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Observation 7987d608-11a4-4d5c-b052-8bee299ec224 · outbound

This paper cites Single-image piece-wise planar 3d reconstruction via associative embedding,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Single-image piece-wise planar 3d reconstruction via associative embedding,

Reference 46

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Observation 6262320d-f5ad-4bda-ad79-630ec014c608 · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Scannet: Richly-annotated 3d reconstructions of indoor scenes,

Reference 47

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Observation 1a8e782e-8df7-49c1-905f-ba3ff20a5c45 · outbound

This paper cites Variable rate deep image compression with a conditional autoencoder,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Variable rate deep image compression with a conditional autoencoder,

Reference 48

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Observation 2e4e8f54-55ab-48b7-a4aa-a606419775ed · outbound

This paper cites Uc-net: Uncertainty inspired rgb-d saliency detection via conditional variational autoencoders,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Uc-net: Uncertainty inspired rgb-d saliency detection via conditional variational autoencoders,

Reference 49

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Observation 7f441e25-1732-4536-8238-69032b68d766 · outbound

This paper cites Video compression with rate-distortion autoencoders,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Video compression with rate-distortion autoencoders,

Reference 50

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Observation 0a6a930d-2eaf-4a8e-95d9-c66010f6711f · outbound

This paper cites Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsuper- vised anomaly detection,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsuper- vised anomaly detection,

Reference 51

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Observation ff3e4385-07be-4f51-a20a-8bc507f5888e · outbound

This paper cites Stacked convolutional auto-encoders for hierarchical feature extraction,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Stacked convolutional auto-encoders for hierarchical feature extraction,

Reference 52

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Observation fc613ea4-26a6-4cf4-be20-8e2436accf7e · outbound

This paper cites Ae2-nets: Autoencoder in autoen- coder networks,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Ae2-nets: Autoencoder in autoen- coder networks,

Reference 53

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Observation 6a350fac-ef6b-4516-9912-1bdf5919f042 · outbound

This paper cites Pcanet: A simple deep learning baseline for image classification?.

Self-supervised Latent Space Optimization with Nebula Variational Coding Pcanet: A simple deep learning baseline for image classification?

Reference 54

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Observation 4fbba319-0548-4d3f-9f86-1165c1bd4fbe · outbound

This paper cites Deep supervision with shape concepts for occlusion-aware 3d object parsing,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Deep supervision with shape concepts for occlusion-aware 3d object parsing,

Reference 55

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Observation b35cf41f-f1ce-4fed-899d-7633c87140d8 · outbound

This paper cites Boosting few-shot visual learning with self-supervision,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Boosting few-shot visual learning with self-supervision,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:56.218932Z

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Observation ac660de2-a242-4285-b923-bdf2fc2bdaa2 · outbound

This paper cites Self-supervised 4d spatio-temporal feature learning via order prediction of se- quential point cloud clips,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Self-supervised 4d spatio-temporal feature learning via order prediction of se- quential point cloud clips,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:56.016732Z

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Observation 4a62ae8b-d7ca-4fe4-8c2a-db0e457abbab · outbound

This paper cites Self-supervised feature extraction for 3d axon seg- mentation,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Self-supervised feature extraction for 3d axon seg- mentation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:55.851221Z

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Observation 87c10cf7-a6b6-412a-926f-4086b02428b2 · outbound

This paper cites Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders.

Self-supervised Latent Space Optimization with Nebula Variational Coding Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:42.814949Z

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Unavailable: canonical work link unavailable.

Observation 3f603acb-1deb-4dd3-a28c-0fde1f722403 · outbound

This paper cites Deep clustering by gaussian mixture variational autoencoders with graph embed- ding,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Deep clustering by gaussian mixture variational autoencoders with graph embed- ding,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:55.775074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 29c58a43-0c11-46f3-9fb7-51798658e288 · outbound

This paper cites Neural discrete representation learning,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Neural discrete representation learning,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:55.685851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9ef64d8c-6400-418e-9e92-8ed6656d5de7 · outbound

This paper cites Infovae: Balancing learning and inference in variational autoencoders,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Infovae: Balancing learning and inference in variational autoencoders,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:55.626647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9c8b0b42-00d4-43cd-93b4-5d89c2e6ebd0 · outbound

This paper cites Generating sentences from a continuous space,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Generating sentences from a continuous space,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:55.589726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cd60ace7-df10-4751-a21b-9f7ed0e7ba51 · outbound

This paper cites Im- proved variational autoencoders for text modeling using di- lated convolutions,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Im- proved variational autoencoders for text modeling using di- lated convolutions,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:55.519335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0f6aaf04-582e-45ab-b39c-8f2c55ac570a · outbound

This paper cites A stable variational autoencoder for text modelling,.

Self-supervised Latent Space Optimization with Nebula Variational Coding A stable variational autoencoder for text modelling,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:55.462088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f882ed9c-a9dd-42b6-bfa8-d20de9abd79f · outbound

This paper cites Unsupervised deep embed- ding for clustering analysis,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Unsupervised deep embed- ding for clustering analysis,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:55.364828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation da0fc5cd-72b9-4d71-b50c-02adecb442b6 · outbound

This paper cites Secrets of grabcut and kernel k-means,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Secrets of grabcut and kernel k-means,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:55.281201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 15ee9528-3902-4af5-8ca7-29e4c3d99ddb · outbound

This paper cites Cartesian k-means,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Cartesian k-means,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:55.214383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e65a5ad4-e7e1-4287-a62f-e58a9eb949b6 · outbound

This paper cites Towards k- means-friendly spaces: Simultaneous deep learning and cluster- ing,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Towards k- means-friendly spaces: Simultaneous deep learning and cluster- ing,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:55.146157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ddf12fc7-7042-4f28-bd00-ad3ff75eec2b · outbound

This paper cites Categorical reparameterization with gumbel-softmax,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Categorical reparameterization with gumbel-softmax,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:55.085310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4eda2782-f9e4-4d6a-8d8d-aa6d2aefd8fc · outbound

This paper cites Prototypical networks for few-shot learning,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Prototypical networks for few-shot learning,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:55.008150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f20a7080-8154-4e93-ac80-f1243b9c7d0b · outbound

This paper cites Hierarchical grouping to optimize an objective function,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Hierarchical grouping to optimize an objective function,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:54.919697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 69db77db-1e48-4079-a94f-5f5ac910cb04 · outbound

This paper cites Deep adaptive image clustering,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Deep adaptive image clustering,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:54.855026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 345aa2f2-092d-4521-8dc4-b296ac7f199d · outbound

This paper cites Invariant information clus- tering for unsupervised image classification and segmentation,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Invariant information clus- tering for unsupervised image classification and segmentation,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:54.739797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 46af3943-1b69-4945-a60c-fe3c7da73ba7 · outbound

This paper cites Image-to- image translation for cross-domain disentanglement,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Image-to- image translation for cross-domain disentanglement,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:54.614695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3473dd9f-cf0f-43f4-99ff-e06a628fcdbc · outbound

This paper cites A two-step disentanglement method,.

Self-supervised Latent Space Optimization with Nebula Variational Coding A two-step disentanglement method,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:54.566598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6b519768-3b3e-4d5d-bfb9-91e888e9d35d · outbound

This paper cites Disentangling latent space for vae by label relevant/irrelevant dimensions,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Disentangling latent space for vae by label relevant/irrelevant dimensions,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:54.513663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 81394f94-4f6a-4994-92e6-24c5dbaddf03 · outbound

This paper cites Multi- similarity loss with general pair weighting for deep metric learn- ing,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Multi- similarity loss with general pair weighting for deep metric learn- ing,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:54.456988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b8b421c3-03f0-4fd9-a59a-fe02bbb777be · outbound

This paper cites Improving generalization via scalable neighborhood component analysis,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Improving generalization via scalable neighborhood component analysis,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:54.387369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c504c4ec-a39e-4c23-85d6-310ffbda1922 · outbound

This paper cites Deep metric learning using triplet network,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Deep metric learning using triplet network,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:44.699081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa68521b-8420-4136-8334-55bbbde740d5 · outbound

This paper cites Improved deep metric learning with multi-class n-pair loss objective,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Improved deep metric learning with multi-class n-pair loss objective,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:54.319951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e26aaef1-e728-4f1a-aa39-fd434ba841f1 · outbound

This paper cites Deep metric learning via lifted structured feature embedding,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Deep metric learning via lifted structured feature embedding,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:54.266988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4391347f-1df1-4dca-9058-6db7681a7832 · outbound

This paper cites Dimensionality reduction by learning an invariant mapping,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Dimensionality reduction by learning an invariant mapping,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:54.200986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f40ac25a-70b6-488c-8638-a0c5a0c09759 · outbound

This paper cites Neighbourhood components analysis,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Neighbourhood components analysis,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:54.095750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3ecc9583-9a64-49af-aeba-e017beb1b2ef · outbound

This paper cites Learning fine-grained image similarity with deep ranking,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Learning fine-grained image similarity with deep ranking,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:53.957134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 25ba488c-2187-437b-b915-e11c72c6bb28 · outbound

This paper cites Facenet: A unified embedding for face recognition and clustering,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Facenet: A unified embedding for face recognition and clustering,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:53.872361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 99ebbc9e-d04e-4619-8500-6c1481d238da · outbound

This paper cites Unsupervised domain adaptation with hierarchical gradient synchronization,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Unsupervised domain adaptation with hierarchical gradient synchronization,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:53.797669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b594e609-ee9b-48c4-9fc8-0bcfb7b51cef · outbound

This paper cites Unsupervised domain adaptation via structurally regularized deep clustering,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Unsupervised domain adaptation via structurally regularized deep clustering,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:53.701225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cc88911e-4e2f-4cb7-9f88-72450a9e738b · outbound

This paper cites One-shot domain adaptation for face generation,.

Self-supervised Latent Space Optimization with Nebula Variational Coding One-shot domain adaptation for face generation,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:53.609257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 517fc2a4-dedb-43d5-8ec9-82abed6c3ee3 · outbound

This paper cites Dlow: Domain flow for adaptation and generalization,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Dlow: Domain flow for adaptation and generalization,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:53.500355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 90168a3d-3df1-4217-8637-e3539b9bc94b · outbound

This paper cites A u-net based discrim- inator for generative adversarial networks,.

Self-supervised Latent Space Optimization with Nebula Variational Coding A u-net based discrim- inator for generative adversarial networks,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:53.419095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9d208899-60d4-4fa9-bb84-37aff761c1ef · outbound

This paper cites Reusing discriminators for encoding: Towards unsupervised image-to- image translation,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Reusing discriminators for encoding: Towards unsupervised image-to- image translation,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:53.294582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 48490b52-5a7c-4da6-b5d4-a8caab9d0067 · outbound

This paper cites Domain- adversarial training of neural networks,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Domain- adversarial training of neural networks,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:53.191298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0370acdb-8eaa-4083-90c5-25f97530d78d · outbound

This paper cites Adversarial discriminative domain adaptation,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Adversarial discriminative domain adaptation,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:53.094759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 24615afc-d058-4fbc-ad6f-a41a1d2723db · outbound

This paper cites Domain-symmetric networks for adversarial domain adaptation,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Domain-symmetric networks for adversarial domain adaptation,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:52.993319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5d36d83e-862c-4368-a5bc-5b6cdf079290 · outbound

This paper cites Grad- ually vanishing bridge for adversarial domain adaptation,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Grad- ually vanishing bridge for adversarial domain adaptation,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:52.914688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8b4bfe50-82d0-41ee-9708-fd6d2c4dfab3 · outbound

This paper cites Auto-encoding variational bayes,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Auto-encoding variational bayes,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:52.841657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f20cd331-a0c5-4bf2-b2a0-f50c4be2cbfd · outbound

This paper cites Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

Self-supervised Latent Space Optimization with Nebula Variational Coding Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:46.375031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b85ae01c-d75b-4a2c-a31b-f58226d516f6 · outbound

This paper cites Parallelized stochastic gradient descent,.

Self-supervised Latent Space Optimization with Nebula Variational Coding Parallelized stochastic gradient descent,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:52.764237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a58141ab-d34e-4162-a9e7-b9897587ad3a · outbound

This paper cites A stochastic approximation method,.

Self-supervised Latent Space Optimization with Nebula Variational Coding A stochastic approximation method,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:52.646654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers