Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models | Paper Citation Record

Observation aa5eef6b-3b2f-470d-82a6-c450eb3381f3 · outbound

This paper cites Geode: a geographically diverse evaluation dataset for object recognition,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Geode: a geographically diverse evaluation dataset for object recognition,

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This paper cites Catastrophic interference in connec- tionist networks: The sequential learning problem,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Catastrophic interference in connec- tionist networks: The sequential learning problem,

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This paper cites Three continual learning scenarios,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Three continual learning scenarios,

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This paper cites Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey ,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey ,

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This paper cites The Future of Continual Learning in the Era of Foundation Models: Three Key Directions.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models The Future of Continual Learning in the Era of Foundation Models: Three Key Directions

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This paper cites Continual learning of large language models: A compre- hensive survey,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Continual learning of large language models: A compre- hensive survey,

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This paper cites Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting

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This paper cites Beyond Supervised Continual Learning: a Review.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Beyond Supervised Continual Learning: a Review

Reference 8

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This paper cites Towards Label-Efficient Incremental Learning: A Survey.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Towards Label-Efficient Incremental Learning: A Survey

Reference 9

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This paper cites A survey of the self supervised learning mechanisms for vision transformers,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models A survey of the self supervised learning mechanisms for vision transformers,

Reference 10

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This paper cites A simple framework for contrastive learning of visual representations,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models A simple framework for contrastive learning of visual representations,

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This paper cites Momentum contrast for unsupervised visual representation learning,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Momentum contrast for unsupervised visual representation learning,

Reference 12

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This paper cites Improved Baselines with Momentum Contrastive Learning.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Improved Baselines with Momentum Contrastive Learning

Reference 13

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This paper cites Representation Learning with Contrastive Predictive Coding.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Representation Learning with Contrastive Predictive Coding

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This paper cites Bootstrap your own latent-a new approach to self- supervised learning,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Bootstrap your own latent-a new approach to self- supervised learning,

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This paper cites Exploring simple siamese representation learning,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Exploring simple siamese representation learning,

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

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Barlow twins: Self-supervised learning via redundancy reduction,

Reference 17

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This paper cites Vicreg: Variance-invariance- covariance regularization for self-supervised learning,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Vicreg: Variance-invariance- covariance regularization for self-supervised learning,

Reference 18

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This paper cites Unsupervised learning of visual features by contrasting cluster assignments,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Unsupervised learning of visual features by contrasting cluster assignments,

Reference 19

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This paper cites Masked autoencoders are scalable vision learners,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Masked autoencoders are scalable vision learners,

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This paper cites Cla: Latent alignment for online continual self-supervised learning,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Cla: Latent alignment for online continual self-supervised learning,

Reference 21

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This paper cites CLA: Latent Alignment for Online Continual Self-Supervised Learning.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models CLA: Latent Alignment for Online Continual Self-Supervised Learning

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This paper cites A practitioner’s guide to continual multimodal pretraining,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models A practitioner’s guide to continual multimodal pretraining,

Reference 23

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This paper cites Tic-clip: Continual training of clip models,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Tic-clip: Continual training of clip models,

Reference 24

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This paper cites Branch-tuning: balancing stability and plasticity for continual self-supervised learning,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Branch-tuning: balancing stability and plasticity for continual self-supervised learning,

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This paper cites Similarity of neural network representations revisited,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Similarity of neural network representations revisited,

Reference 26

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

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Learning multiple layers of features from tiny images,

Reference 27

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

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Imagenet: A large-scale hierarchical image database,

Reference 28

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This paper cites Representational continuity for unsupervised continual learning,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Representational continuity for unsupervised continual learning,

Reference 29

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This paper cites Self-Supervised Class Incremental Learning.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Self-Supervised Class Incremental Learning

Reference 30

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This paper cites Self-supervised models are continual learners,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Self-supervised models are continual learners,

Reference 31

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This paper cites Prevalence of neural collapse during the terminal phase of deep learning training,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Prevalence of neural collapse during the terminal phase of deep learning training,

Reference 32

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Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Perturbation analysis of neural collapse,

Reference 33

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This paper cites Why do better loss functions lead to less transferable features?.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Why do better loss functions lead to less transferable features?

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Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models The tunnel effect: Building data representations in deep neural networks,

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This paper cites What variables affect out-of-distribution generalization in pretrained models?.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models What variables affect out-of-distribution generalization in pretrained models?

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This paper cites Know your self-supervised learning: A survey on image-based generative and discriminative training,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Know your self-supervised learning: A survey on image-based generative and discriminative training,

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This paper cites Reverse engineering self-supervised learning,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Reverse engineering self-supervised learning,

Reference 38

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This paper cites On the discriminability of self-supervised representation learning,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models On the discriminability of self-supervised representation learning,

Reference 39

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This paper cites Emerging properties in self-supervised vision trans- formers,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Emerging properties in self-supervised vision trans- formers,

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

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Self-supervised learning from images with a joint- embedding predictive architecture,

Reference 41

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This paper cites Rankme: Assessing the downstream performance of pretrained self-supervised representations by their rank,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Rankme: Assessing the downstream performance of pretrained self-supervised representations by their rank,

Reference 42

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This paper cites How well does self-supervised pre-training perform with streaming data?.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models How well does self-supervised pre-training perform with streaming data?

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Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Task agnostic representation consolidation: a self-supervised based continual learning approach,

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This paper cites Towards efficient and effective self-supervised learning of visual representations,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Towards efficient and effective self-supervised learning of visual representations,

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This paper cites Accelerating self- supervised learning via efficient training strategies,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Accelerating self- supervised learning via efficient training strategies,

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Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Faster convergence and uncorrelated gradients in self-supervised online continual learning,

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This paper cites Continually learning self-supervised representations with pro- jected functional regularization,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Continually learning self-supervised representations with pro- jected functional regularization,

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This paper cites Plasticity-optimized complementary networks for unsupervised continual learning,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Plasticity-optimized complementary networks for unsupervised continual learning,

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Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Continual pre-training mitigates forgetting in language and vision,

Reference 50

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Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Adaptive self-supervised continual learning,

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This paper cites How to merge your multimodal models over time?.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models How to merge your multimodal models over time?

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Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Cromo-mixup: Augmenting cross-model represen- tations for continual self-supervised learning,

Reference 53

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This paper cites Continual self-supervised learning: Towards universal multi- modal medical data representation learning,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Continual self-supervised learning: Towards universal multi- modal medical data representation learning,

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This paper cites Continual self-supervised learning with masked autoencoders in remote sensing,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Continual self-supervised learning with masked autoencoders in remote sensing,

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This paper cites Generative negative text replay for continual vision- language pretraining,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Generative negative text replay for continual vision- language pretraining,

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This paper cites Ctp: Towards vision- language continual pretraining via compatible momentum contrast and topology preservation,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Ctp: Towards vision- language continual pretraining via compatible momentum contrast and topology preservation,

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This paper cites Continual vision- language representation learning with off-diagonal information,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Continual vision- language representation learning with off-diagonal information,

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This paper cites Continual contrastive learning for image classification,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Continual contrastive learning for image classification,

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Observation f6a1b532-d7ec-4861-8126-2e40b87e803b · outbound

This paper cites Revisiting supervision for continual representation learning,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Revisiting supervision for continual representation learning,

Reference 60

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Observation c3df69e1-3f73-4d13-b46d-ba35a5bd1ef7 · outbound

This paper cites Regularizing with pseudo-negatives for continual self-supervised learning,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Regularizing with pseudo-negatives for continual self-supervised learning,

Reference 61

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Observation f6da9efa-95cb-4f0b-88f5-1ab5aa38553f · outbound

This paper cites C-clip: Multimodal continual learn- ing for vision-language model,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models C-clip: Multimodal continual learn- ing for vision-language model,

Reference 62

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This paper cites Overcoming catastrophic forgetting in neural networks,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Overcoming catastrophic forgetting in neural networks,

Reference 63

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This paper cites Continual learning through synaptic intelligence,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Continual learning through synaptic intelligence,

Reference 64

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Observation 85c3bf72-229a-4984-85ab-19bbbbdb1f97 · outbound

This paper cites Memory aware synapses: Learning what (not) to forget,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Memory aware synapses: Learning what (not) to forget,

Reference 65

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This paper cites Are labels needed for incremental instance learning?.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Are labels needed for incremental instance learning?

Reference 66

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Observation 92751320-5970-4a45-84fd-ae7d9ed9cd64 · outbound

This paper cites Continual barlow twins: continual self- supervised learning for remote sensing semantic segmentation,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Continual barlow twins: continual self- supervised learning for remote sensing semantic segmentation,

Reference 67

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Observation daa99a45-e73f-49fe-b8c9-dddd40c1efa4 · outbound

This paper cites Continual retinal vision-language pre-training upon incremental imaging modalities,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Continual retinal vision-language pre-training upon incremental imaging modalities,

Reference 68

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This paper cites Beyond cosine decay: On the effectiveness of infinite learning rate schedule for continual pre-training,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Beyond cosine decay: On the effectiveness of infinite learning rate schedule for continual pre-training,

Reference 69

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This paper cites Experience replay for continual learning,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Experience replay for continual learning,

Reference 70

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This paper cites mixup: Beyond empirical risk minimization,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models mixup: Beyond empirical risk minimization,

Reference 71

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This paper cites Contrastive continuity on augmentation stability re- hearsal for continual self-supervised learning,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Contrastive continuity on augmentation stability re- hearsal for continual self-supervised learning,

Reference 72

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Observation 8a97611d-9e0d-43f1-ab77-f404efd8fee6 · outbound

This paper cites Cucl: Codebook for unsupervised continual learning,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Cucl: Codebook for unsupervised continual learning,

Reference 73

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This paper cites Effective data selection and replay for unsupervised continual learning,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Effective data selection and replay for unsupervised continual learning,

Reference 74

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This paper cites Memory storyboard: Leveraging temporal segmentation for streaming self-supervised learning from egocentric videos,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Memory storyboard: Leveraging temporal segmentation for streaming self-supervised learning from egocentric videos,

Reference 75

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This paper cites Unsupervised continual learning via self-adaptive deep clustering approach,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Unsupervised continual learning via self-adaptive deep clustering approach,

Reference 76

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Observation 92e83746-174d-4920-a4aa-f5999f7a97c5 · outbound

This paper cites Efficient self-supervised continual learning with progressive task-correlated layer freezing,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Efficient self-supervised continual learning with progressive task-correlated layer freezing,

Reference 77

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This paper cites Lora: Low-rank adaptation of large language models,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Lora: Low-rank adaptation of large language models,

Reference 78

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Observation 742d4f5f-be66-4f46-8f79-6ac9e9a7c927 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Learning Transferable Visual Models From Natural Language Supervision

Reference 79

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This paper cites Replay-free online continual learning with self-supervised multipatches,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Replay-free online continual learning with self-supervised multipatches,

Reference 80

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This paper cites Replay-free Online Continual Learning with Self-Supervised MultiPatches.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Replay-free Online Continual Learning with Self-Supervised MultiPatches

Reference 81

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Observation 30eb62c2-2b14-4ab1-84f5-3b898544b072 · outbound

This paper cites Infoucl: Learning informative representations for unsupervised continual learning,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Infoucl: Learning informative representations for unsupervised continual learning,

Reference 82

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This paper cites Self-Supervised Learning Aided Class-Incremental Lifelong Learning.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Self-Supervised Learning Aided Class-Incremental Lifelong Learning

Reference 83

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This paper cites Dualnet: Continual learning, fast and slow,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Dualnet: Continual learning, fast and slow,

Reference 84

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This paper cites Self-supervised continual learning for sar-atr: A local feature adaptation framework,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Self-supervised continual learning for sar-atr: A local feature adaptation framework,

Reference 85

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This paper cites Kaizen: Practical self-supervised continual learning with continual fine-tuning,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Kaizen: Practical self-supervised continual learning with continual fine-tuning,

Reference 86

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This paper cites Masked autoencoders are efficient class incremental learners,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Masked autoencoders are efficient class incremental learners,

Reference 87

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This paper cites Masked autoencoders are parameter-efficient federated continual learners,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Masked autoencoders are parameter-efficient federated continual learners,

Reference 88

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This paper cites Understanding contrastive representation learning through alignment and uniformity on the hypersphere,.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models Understanding contrastive representation learning through alignment and uniformity on the hypersphere,

Reference 89

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