Self-Supervised Learning with a Multi-Task Latent Space Objective | Paper Citation Record

Observation af611839-4ef4-47e9-a6c1-21855da01451 · outbound

This paper cites Masked siamese net- works for label-efficient learning.

Self-Supervised Learning with a Multi-Task Latent Space Objective Masked siamese net- works for label-efficient learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:12.037836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed67a835-be87-4932-b380-443c56664ab1 · outbound

This paper cites Self-supervised learning from images with a joint-embedding predictive architecture.

Self-Supervised Learning with a Multi-Task Latent Space Objective Self-supervised learning from images with a joint-embedding predictive architecture

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:12.112771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd0f9334-989b-47ef-86ef-13b5ca8fa5aa · outbound

This paper cites Seeing the Whole in the Parts in Self-Supervised Representation Learning.

Self-Supervised Learning with a Multi-Task Latent Space Objective Seeing the Whole in the Parts in Self-Supervised Representation Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:12.222057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47e42dd2-d1b7-43ee-bb52-b58aeea8895b · outbound

This paper cites Multimae: Multi-modal multi-task masked autoen- coders.

Self-Supervised Learning with a Multi-Task Latent Space Objective Multimae: Multi-modal multi-task masked autoen- coders

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:12.373837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a93d9d79-bcdb-4302-a9e9-615c68ca979a · outbound

This paper cites Beit: Bert pre-training of image transformers.

Self-Supervised Learning with a Multi-Task Latent Space Objective Beit: Bert pre-training of image transformers

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:12.479774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caea8d1c-2bfc-4f35-b587-793bdc4f6dff · outbound

This paper cites Vi- creg: Variance-invariance-covariance regularization for self- supervised learning.

Self-Supervised Learning with a Multi-Task Latent Space Objective Vi- creg: Variance-invariance-covariance regularization for self- supervised learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:12.707342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c672f3e-073e-4e89-b1f9-3f82129e8067 · outbound

This paper cites Deep clustering for unsupervised learning of visual features.

Self-Supervised Learning with a Multi-Task Latent Space Objective Deep clustering for unsupervised learning of visual features

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:12.905135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4865159e-a34b-41bd-9157-b9d3cce6e433 · outbound

This paper cites Unsupervised learn- ing of visual features by contrasting cluster assignments.

Self-Supervised Learning with a Multi-Task Latent Space Objective Unsupervised learn- ing of visual features by contrasting cluster assignments

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:13.144729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c54a016-c87b-4266-819b-7735cd0425da · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

Self-Supervised Learning with a Multi-Task Latent Space Objective Emerg- ing properties in self-supervised vision transformers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:13.276289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ec428f9-c199-4e08-84fa-cbec3f7144ae · outbound

This paper cites A simple framework for contrastive learn- ing of visual representations.

Self-Supervised Learning with a Multi-Task Latent Space Objective A simple framework for contrastive learn- ing of visual representations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:13.391038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd4931d8-ebc4-413d-ab5d-99076646229d · outbound

This paper cites Exploring simple siamese rep- resentation learning.

Self-Supervised Learning with a Multi-Task Latent Space Objective Exploring simple siamese rep- resentation learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:13.593250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10e878a0-1195-40a3-86fe-d049edbc3598 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

Self-Supervised Learning with a Multi-Task Latent Space Objective Improved Baselines with Momentum Contrastive Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:13.812011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3b2edb3-6596-49f2-a91a-ceaa0d84cf80 · outbound

This paper cites An empiri- cal study of training self-supervised vision transformers.

Self-Supervised Learning with a Multi-Task Latent Space Objective An empiri- cal study of training self-supervised vision transformers

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:14.027327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cecee87c-3cbf-4317-a0e1-a0222fd136b9 · outbound

This paper cites Cluster and predict la- tent patches for improved masked image modeling.CoRR,.

Self-Supervised Learning with a Multi-Task Latent Space Objective Cluster and predict la- tent patches for improved masked image modeling.CoRR,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:14.130013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cba0488d-25e4-4c44-b01c-09d1573b69fb · outbound

This paper cites Adversarial Dependence Minimization.

Self-Supervised Learning with a Multi-Task Latent Space Objective Adversarial Dependence Minimization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:14.195239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc398f9d-f1fa-492c-89b7-8f131a135705 · outbound

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

Self-Supervised Learning with a Multi-Task Latent Space Objective Imagenet: A large-scale hierarchical image database

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:14.271212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36ff11e0-ffff-4842-a5e4-0ba4e3c7acd9 · outbound

This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

Self-Supervised Learning with a Multi-Task Latent Space Objective Improved Regularization of Convolutional Neural Networks with Cutout

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:14.312230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bbc278e-1ccb-404f-ae40-38c7052b306f · outbound

This paper cites Multi-task self- supervised visual learning.

Self-Supervised Learning with a Multi-Task Latent Space Objective Multi-task self- supervised visual learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:14.494459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bea88949-8f93-402c-938c-6c81ba93c033 · outbound

This paper cites Unsuper- vised visual representation learning by context prediction.

Self-Supervised Learning with a Multi-Task Latent Space Objective Unsuper- vised visual representation learning by context prediction

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:14.586740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0a49ddb-cbde-426a-ada1-640cec093de7 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Self-Supervised Learning with a Multi-Task Latent Space Objective An image is worth 16x16 words: Transformers for image recognition at scale

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:14.652339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2013b4c9-7deb-4025-b648-79edcb2ab4ef · outbound

This paper cites Whitening for self-supervised representation learning.

Self-Supervised Learning with a Multi-Task Latent Space Objective Whitening for self-supervised representation learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:14.771105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdc65874-e27c-4510-9d17-83f8c207b01d · outbound

This paper cites Multimodal Masked Autoencoders Learn Transferable Representations.

Self-Supervised Learning with a Multi-Task Latent Space Objective Multimodal Masked Autoencoders Learn Transferable Representations

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:14.875356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95cef672-25c6-47d9-9733-c400aef03edf · outbound

This paper cites Un- supervised representation learning by predicting image rota- tions.

Self-Supervised Learning with a Multi-Task Latent Space Objective Un- supervised representation learning by predicting image rota- tions

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:14.975031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c760926a-001e-4d25-b655-ab51f66be988 · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

Self-Supervised Learning with a Multi-Task Latent Space Objective Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:15.163646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a33d36d-a78c-48ab-bf6c-2161a25fd69d · outbound

This paper cites Bootstrap your own latent-a new ap- proach to self-supervised learning.NeurIPS, 33:21271– 21284, 2020.

Self-Supervised Learning with a Multi-Task Latent Space Objective Bootstrap your own latent-a new ap- proach to self-supervised learning.NeurIPS, 33:21271– 21284, 2020

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:15.254844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d75952e-0f84-48ca-acfa-03f36f641382 · outbound

This paper cites Unsupervised multi-task feature learning on point clouds.

Self-Supervised Learning with a Multi-Task Latent Space Objective Unsupervised multi-task feature learning on point clouds

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:15.346549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b08ee0c8-eebe-4e63-9562-7b7dfa6bb402 · outbound

This paper cites Deep residual learning for image recognition.

Self-Supervised Learning with a Multi-Task Latent Space Objective Deep residual learning for image recognition

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:15.442022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58995d83-4784-4f0b-a0a8-e6553ceb3849 · outbound

This paper cites Momentum contrast for unsupervised visual rep- resentation learning.

Self-Supervised Learning with a Multi-Task Latent Space Objective Momentum contrast for unsupervised visual rep- resentation learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:15.509479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9b8c36f-0e4f-47d3-ba54-1b8cf1da8bf5 · outbound

This paper cites Masked autoencoders are scalable vision learners.

Self-Supervised Learning with a Multi-Task Latent Space Objective Masked autoencoders are scalable vision learners

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:15.667839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9e38dd5-255e-43f8-9b2e-a2644d9d9d6e · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal co- variate shift.

Self-Supervised Learning with a Multi-Task Latent Space Objective Batch normalization: Accelerating deep network training by reducing internal co- variate shift

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:15.762269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab4956a4-b75c-4262-9fc3-472c09d31966 · outbound

This paper cites Multi- modal contrastive masked autoencoders: A two-stage pro- gressive pre-training approach for rgbd datasets.

Self-Supervised Learning with a Multi-Task Latent Space Objective Multi- modal contrastive masked autoencoders: A two-stage pro- gressive pre-training approach for rgbd datasets

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:15.860613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89daa5fe-a322-4714-9eb6-23b9d67c3994 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Self-Supervised Learning with a Multi-Task Latent Space Objective Adam: A Method for Stochastic Optimization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:15.959278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f223f396-dc40-441a-8b55-16999915130d · outbound

This paper cites Global-local self- distillation for visual representation learning.

Self-Supervised Learning with a Multi-Task Latent Space Objective Global-local self- distillation for visual representation learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:16.093600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5da9c6df-6d17-4d57-9a87-95473c5cdf6c · outbound

This paper cites Compressive visual representations.

Self-Supervised Learning with a Multi-Task Latent Space Objective Compressive visual representations

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:16.295182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a43acdeb-2b1f-4f77-943d-9ecbc3cfaee4 · outbound

This paper cites Continuous control with deep reinforcement learning.

Self-Supervised Learning with a Multi-Task Latent Space Objective Continuous control with deep reinforcement learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:16.438034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e131c040-a030-42cd-8831-cc3d5df43a8b · outbound

This paper cites Ms2l: Multi-task self-supervised learning for skeleton based action recognition.

Self-Supervised Learning with a Multi-Task Latent Space Objective Ms2l: Multi-task self-supervised learning for skeleton based action recognition

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:16.713210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ec36a3d-a925-44cd-b328-3e92a3d59983 · outbound

This paper cites A closer look at benchmarking self-supervised pre- training with image classification.IJCV, pages 1–13, 2025.

Self-Supervised Learning with a Multi-Task Latent Space Objective A closer look at benchmarking self-supervised pre- training with image classification.IJCV, pages 1–13, 2025

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:17.270921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1badd86-c66f-4e74-aebe-fb5b0eb1959d · outbound

This paper cites Object-Aware Cropping for Self-Supervised Learning.

Self-Supervised Learning with a Multi-Task Latent Space Objective Object-Aware Cropping for Self-Supervised Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:17.430831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7f06c31-d825-4a5c-bdb8-1444afa4f736 · outbound

This paper cites An embedding-dynamic approach to self-supervised learning.

Self-Supervised Learning with a Multi-Task Latent Space Objective An embedding-dynamic approach to self-supervised learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:17.564574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85dcd6f6-9cf9-49e5-a2d1-25872dc4f16e · outbound

This paper cites Augmentations vs Algorithms: What Works in Self-Supervised Learning.

Self-Supervised Learning with a Multi-Task Latent Space Objective Augmentations vs Algorithms: What Works in Self-Supervised Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:17.694267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b04af936-3c23-40e9-acd2-9c5d0799daeb · outbound

This paper cites You don’t need domain-specific data augmentations when scaling self- supervised learning.NeurIPS, 37:116106–116125, 2024.

Self-Supervised Learning with a Multi-Task Latent Space Objective You don’t need domain-specific data augmentations when scaling self- supervised learning.NeurIPS, 37:116106–116125, 2024

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:17.876196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56bfd40e-8c02-469d-b323-a344253869f7 · outbound

This paper cites Unsupervised learning of visual representations by solving jigsaw puzzles.

Self-Supervised Learning with a Multi-Task Latent Space Objective Unsupervised learning of visual representations by solving jigsaw puzzles

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:18.015666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b112386e-c9e1-4426-87d2-c8950549b7d1 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Self-Supervised Learning with a Multi-Task Latent Space Objective DINOv2: Learning Robust Visual Features without Supervision

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:18.146521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da4c1f45-40e5-4914-9892-eade9883fc86 · outbound

This paper cites Context encoders: Feature learning by inpainting.

Self-Supervised Learning with a Multi-Task Latent Space Objective Context encoders: Feature learning by inpainting

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:18.311139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45d74fc1-e692-4531-9bf6-9e0d09e40b28 · outbound

This paper cites DINOv3.

Self-Supervised Learning with a Multi-Task Latent Space Objective DINOv3

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:18.513267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 884712df-1b5e-41ff-a032-9e8e5c2e4ca6 · outbound

This paper cites Branching out for better byol.

Self-Supervised Learning with a Multi-Task Latent Space Objective Branching out for better byol

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:18.688168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a312144-2847-4198-859b-d060d4160fab · outbound

This paper cites Un- derstanding self-supervised learning dynamics without con- trastive pairs.

Self-Supervised Learning with a Multi-Task Latent Space Objective Un- derstanding self-supervised learning dynamics without con- trastive pairs

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:18.837635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c55e718b-856c-41fe-89ce-bd215d1c1cb5 · outbound

This paper cites an unresolved cited work.

Self-Supervised Learning with a Multi-Task Latent Space Objective Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:19.022965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bf2b598-5114-4e3d-ac84-cad908f0c441 · outbound

This paper cites Training data-efficient image transformers & distillation through at- tention.

Self-Supervised Learning with a Multi-Task Latent Space Objective Training data-efficient image transformers & distillation through at- tention

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:19.180215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4776db6-b9a7-4e87-852f-f40402a0be3a · outbound

This paper cites How to train state-of-the-art mod- els using torchvision’s latest primitives.https : / / pytorch.

Self-Supervised Learning with a Multi-Task Latent Space Objective How to train state-of-the-art mod- els using torchvision’s latest primitives.https : / / pytorch

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:19.371890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f55abdfd-c784-4856-bb2e-4efc3ff4751e · outbound

This paper cites Adaptive multi-head contrastive learning.

Self-Supervised Learning with a Multi-Task Latent Space Objective Adaptive multi-head contrastive learning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:19.579389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf4de393-9da0-4d09-8663-e09cf462e6f8 · outbound

This paper cites Dense contrastive learning for self-supervised visual pre-training.

Self-Supervised Learning with a Multi-Task Latent Space Objective Dense contrastive learning for self-supervised visual pre-training

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:19.714570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f349a331-668b-4557-9e65-ff9eaeb0407f · outbound

This paper cites On the importance of asymmetry for siamese representation learning.

Self-Supervised Learning with a Multi-Task Latent Space Objective On the importance of asymmetry for siamese representation learning

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:19.878117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfd407e5-d1a1-4832-9be6-a7073e87afe9 · outbound

This paper cites Region similarity representation learn- ing.

Self-Supervised Learning with a Multi-Task Latent Space Objective Region similarity representation learn- ing

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:20.046997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 736fec50-b27f-47f0-b42b-06123621881b · outbound

This paper cites Detco: Unsu- pervised contrastive learning for object detection.

Self-Supervised Learning with a Multi-Task Latent Space Objective Detco: Unsu- pervised contrastive learning for object detection

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:20.244385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a80c1cd7-77fb-4f4b-bebb-73cd1fe46b85 · outbound

This paper cites Simmim: A simple framework for masked image modeling.

Self-Supervised Learning with a Multi-Task Latent Space Objective Simmim: A simple framework for masked image modeling

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:20.418684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe27d41b-fefe-4822-9f35-46d066295ef8 · outbound

This paper cites Comae: Single model hybrid pre-training on small-scale rgb- d datasets.

Self-Supervised Learning with a Multi-Task Latent Space Objective Comae: Single model hybrid pre-training on small-scale rgb- d datasets

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:20.588349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 458c65d6-4e3f-4e86-bf90-5147e89a4716 · outbound

This paper cites Large Batch Training of Convolutional Networks.

Self-Supervised Learning with a Multi-Task Latent Space Objective Large Batch Training of Convolutional Networks

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:20.720337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2cd105a-6570-418f-9e15-88d7372489e9 · outbound

This paper cites Cutmix: Regu- larization strategy to train strong classifiers with localizable features.

Self-Supervised Learning with a Multi-Task Latent Space Objective Cutmix: Regu- larization strategy to train strong classifiers with localizable features

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:20.848517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1ef2950-34aa-4a87-a1ad-374e5885cd60 · outbound

This paper cites Barlow twins: Self-supervised learning via redundancy reduction.

Self-Supervised Learning with a Multi-Task Latent Space Objective Barlow twins: Self-supervised learning via redundancy reduction

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:21.040673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92c54570-6819-411e-a437-07162ee533a1 · outbound

This paper cites S4l: Self-supervised semi-supervised learning.

Self-Supervised Learning with a Multi-Task Latent Space Objective S4l: Self-supervised semi-supervised learning

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:21.152762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b246056c-b931-42dc-b94a-1c3f6cb1ad93 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Self-Supervised Learning with a Multi-Task Latent Space Objective mixup: Beyond Empirical Risk Minimization

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:21.315673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d7fe0f1-8e5d-451f-bacb-30472e11effb · outbound

This paper cites Color- ful image colorization.

Self-Supervised Learning with a Multi-Task Latent Space Objective Color- ful image colorization

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:21.459685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90d405a1-bcb4-46a6-afa0-aa6837f444f2 · outbound

This paper cites Leverage your local and global represen- tations: A new self-supervised learning strategy.

Self-Supervised Learning with a Multi-Task Latent Space Objective Leverage your local and global represen- tations: A new self-supervised learning strategy

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:21.587500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51eefda9-7d72-4b29-86e5-d3487d084912 · outbound

This paper cites Random erasing data augmentation.

Self-Supervised Learning with a Multi-Task Latent Space Objective Random erasing data augmentation

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:21.707265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 021c2c9e-5cfa-41c1-8564-1fb0d56cdc5b · outbound

This paper cites Image bert pre-training with online tokenizer.

Self-Supervised Learning with a Multi-Task Latent Space Objective Image bert pre-training with online tokenizer

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:21.863945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72ea700e-2957-402f-a43f-396276fc0e8f · outbound

This paper cites For SimSiam and MoCo v3, the minimum area is set to 20%.

Self-Supervised Learning with a Multi-Task Latent Space Objective For SimSiam and MoCo v3, the minimum area is set to 20%

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:21.998598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cb6d31c-0425-4fc5-bbea-fab7161109bc · outbound

This paper cites an unresolved cited work.

Self-Supervised Learning with a Multi-Task Latent Space Objective Unresolved cited work

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:22.102333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc1faf3e-df39-4f85-9bca-90c02087833e · outbound

This paper cites BYOL and MoCo v3 use the ranges(0.4,0.4,0.2,0.1), while SimSiam uses (0.4,0.4,0.4,0.1).

Self-Supervised Learning with a Multi-Task Latent Space Objective BYOL and MoCo v3 use the ranges(0.4,0.4,0.2,0.1), while SimSiam uses (0.4,0.4,0.4,0.1)

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:22.176840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef64215b-6f2f-44c2-850c-2e143a9c860f · outbound

This paper cites an unresolved cited work.

Self-Supervised Learning with a Multi-Task Latent Space Objective Unresolved cited work

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:22.260136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de967187-4a60-4fb5-8532-256949db0278 · outbound

This paper cites In BYOL and MoCo v3, the transformation is applied with 100% probability for the first view and 10% for the second; in SimSiam, both views use a 50% probability.

Self-Supervised Learning with a Multi-Task Latent Space Objective In BYOL and MoCo v3, the transformation is applied with 100% probability for the first view and 10% for the second; in SimSiam, both views use a 50% probability

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:22.343376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 525cf03a-a047-48e4-9f27-314dc087e418 · outbound

This paper cites an unresolved cited work.

Self-Supervised Learning with a Multi-Task Latent Space Objective Unresolved cited work

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:22.453088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd664a81-1c4b-498f-a502-69a338a5715f · outbound

This paper cites Multi-predictor multi-crop and multi-task strategies.

Self-Supervised Learning with a Multi-Task Latent Space Objective Multi-predictor multi-crop and multi-task strategies

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-03T04:08:22.605320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers