Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning | Paper Citation Record

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This paper cites SemDeDup: Data-efficient learning at web-scale through semantic deduplication.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning SemDeDup: Data-efficient learning at web-scale through semantic deduplication

Reference 1

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Observation 3dcd97a5-fa3f-45e4-9690-8075366973b5 · outbound

This paper cites Variance Reduction in SGD by Distributed Importance Sampling.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Variance Reduction in SGD by Distributed Importance Sampling

Reference 2

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This paper cites Vqa: Visual question answering.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Vqa: Visual question answering

Reference 3

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Observation 2eee9609-0458-4371-94df-6af5e9ee740c · outbound

This paper cites Conceptual 12m: Pushing web-scale image-text pre- training to recognize long-tail visual concepts.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Conceptual 12m: Pushing web-scale image-text pre- training to recognize long-tail visual concepts

Reference 4

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Observation e0dcbfed-7c12-4ef7-bfe9-64acd7695ae1 · outbound

This paper cites En- hanced multimodal representation learning with cross-modal kd.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning En- hanced multimodal representation learning with cross-modal kd

Reference 5

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Observation 959881ed-d8a9-423d-ac24-b7a0c58bbf10 · outbound

This paper cites Multi-modal medical diagnosis via large-small model collaboration.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Multi-modal medical diagnosis via large-small model collaboration

Reference 6

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Observation 9c1ef63b-a486-40e6-8ac3-a8865a9d18a0 · outbound

This paper cites Reproducible scal- ing laws for contrastive language-image learning.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Reproducible scal- ing laws for contrastive language-image learning

Reference 7

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Observation 928f4bd5-d955-4d7e-b8a8-72f2c52a9186 · outbound

This paper cites Selection via Proxy: Efficient Data Selection for Deep Learning.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Selection via Proxy: Efficient Data Selection for Deep Learning

Reference 8

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Observation 0f80758d-5fb7-44ae-aa9e-6342fbc01ce5 · outbound

This paper cites Unichest: Conquer-and-divide pre-training for multi-source chest x-ray classification.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Unichest: Conquer-and-divide pre-training for multi-source chest x-ray classification

Reference 9

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Observation 253de328-8edc-4946-8784-483e30e37744 · outbound

This paper cites SCAN: Bootstrapping Contrastive Pre-training for Data Efficiency.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning SCAN: Bootstrapping Contrastive Pre-training for Data Efficiency

Reference 10

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Observation d9f467c1-4e9c-44d4-8d02-ccffe147a4a7 · outbound

This paper cites Co- teaching: Robust training of deep neural networks with ex- tremely noisy labels.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Co- teaching: Robust training of deep neural networks with ex- tremely noisy labels

Reference 11

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Observation d8e5fc33-e240-468d-910d-b88f4ff988ac · outbound

This paper cites Trustworthy machine learning: From data to models.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Trustworthy machine learning: From data to models

Reference 12

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Observation 45a42984-21bb-42f4-b331-5da167f182e0 · outbound

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

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Momentum contrast for unsupervised visual rep- resentation learning

Reference 13

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Observation ffe65d37-279c-4e56-9443-fefd531f5af8 · outbound

This paper cites Large- scale dataset pruning with dynamic uncertainty.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Large- scale dataset pruning with dynamic uncertainty

Reference 14

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Observation 36bf5d9e-1302-4409-a14d-12c04e928fb8 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 15

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Observation f79f7a7a-bfda-4a90-8fe2-1c90fd238621 · outbound

This paper cites Diversified Batch Selection for Training Acceleration.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Diversified Batch Selection for Training Acceleration

Reference 16

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Observation ecda78c8-bba6-45f3-bcc8-1b914d2f7ae3 · outbound

This paper cites Learning with noisy correspondence for cross-modal matching.Advances in Neu- ral Information Processing Systems, 34:29406–29419, 2021.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Learning with noisy correspondence for cross-modal matching.Advances in Neu- ral Information Processing Systems, 34:29406–29419, 2021

Reference 17

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Observation 4d50d930-74f7-4d02-99ae-28e0a2010a2e · outbound

This paper cites Open- clip, 2021.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Open- clip, 2021

Reference 18

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Observation 6243a609-73de-40a7-8bfc-00474f36de72 · outbound

This paper cites Scaling up visual and vision-language representa- tion learning with noisy text supervision.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Scaling up visual and vision-language representa- tion learning with noisy text supervision

Reference 19

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Observation 30a075b9-8e3f-4de7-8e51-71ef1effd41f · outbound

This paper cites In-datacenter perfor- mance analysis of a tensor processing unit.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning In-datacenter perfor- mance analysis of a tensor processing unit

Reference 20

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Observation 255f6736-488b-408b-bd07-b09e53b06ac3 · outbound

This paper cites Scaling Laws for Neural Language Models.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Scaling Laws for Neural Language Models

Reference 21

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Observation 653dbccc-c956-43ac-b4f7-4eff9b2a2440 · outbound

This paper cites Deep visual-semantic align- ments for generating image descriptions.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Deep visual-semantic align- ments for generating image descriptions

Reference 22

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Observation 32ad8ff2-2c81-4788-96ee-cc55c38a086c · outbound

This paper cites Vilt: Vision- and-language transformer without convolution or region su- pervision.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Vilt: Vision- and-language transformer without convolution or region su- pervision

Reference 23

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Observation b0af26f1-370a-4452-9061-84ff082487d8 · outbound

This paper cites Temporal Ensembling for Semi-Supervised Learning.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Temporal Ensembling for Semi-Supervised Learning

Reference 24

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This paper cites Clip benchmark, 2023.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Clip benchmark, 2023

Reference 25

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Observation 44aa778d-664b-4a4d-99c9-7f0189571158 · outbound

This paper cites DivideMix: Learning with Noisy Labels as Semi-supervised Learning.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning DivideMix: Learning with Noisy Labels as Semi-supervised Learning

Reference 26

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This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 27

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This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 28

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Observation 3089ca8d-ab0d-4077-b965-f8af41c9cbe2 · outbound

This paper cites Visual semantic reasoning for image-text matching.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Visual semantic reasoning for image-text matching

Reference 29

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This paper cites Tsang, and Zhenwen Ren.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Tsang, and Zhenwen Ren

Reference 30

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This paper cites Tsang, and Zhenwen Ren.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Tsang, and Zhenwen Ren

Reference 31

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This paper cites Microsoft coco: Common objects in context.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Microsoft coco: Common objects in context

Reference 32

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This paper cites Early-learning regularization pre- vents memorization of noisy labels.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Early-learning regularization pre- vents memorization of noisy labels

Reference 33

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This paper cites Decoupled Weight Decay Regularization.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Decoupled Weight Decay Regularization

Reference 34

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This paper cites Sieve: Multimodal dataset pruning using image captioning models.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Sieve: Multimodal dataset pruning using image captioning models

Reference 35

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This paper cites Prioritized training on points that are learnable, worth learning, and not yet learnt.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Prioritized training on points that are learnable, worth learning, and not yet learnt

Reference 36

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This paper cites Improving multimodal datasets with image captioning.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Improving multimodal datasets with image captioning

Reference 37

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This paper cites Representation Learning with Contrastive Predictive Coding.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Representation Learning with Contrastive Predictive Coding

Reference 38

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This paper cites Active learning is a strong baseline for data subset selection.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Active learning is a strong baseline for data subset selection

Reference 39

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This paper cites Pytorch: An im- perative style, high-performance deep learning library.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Pytorch: An im- perative style, high-performance deep learning library

Reference 40

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This paper cites Deep learning on a data diet: Finding important ex- amples early in training.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Deep learning on a data diet: Finding important ex- amples early in training

Reference 41

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This paper cites InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning

Reference 42

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This paper cites Learning transferable visual models from natural language supervi- sion.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Learning transferable visual models from natural language supervi- sion

Reference 43

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This paper cites Accelerating Deep Learning with Dynamic Data Pruning.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Accelerating Deep Learning with Dynamic Data Pruning

Reference 44

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This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 45

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This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 46

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This paper cites Machine learning and deep learning: A review of methods and applications.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Machine learning and deep learning: A review of methods and applications

Reference 47

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This paper cites Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning

Reference 48

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This paper cites A Corpus for Reasoning About Natural Language Grounded in Photographs.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning A Corpus for Reasoning About Natural Language Grounded in Photographs

Reference 49

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This paper cites Yfcc100m: The new data in multimedia research.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Yfcc100m: The new data in multimedia research

Reference 50

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This paper cites An Empirical Study of Example Forgetting during Deep Neural Network Learning.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning An Empirical Study of Example Forgetting during Deep Neural Network Learning

Reference 51

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This paper cites Too large; data reduction for vision-language pre-training.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Too large; data reduction for vision-language pre-training

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:01.290850Z

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Observation f9058c8a-2d40-42d0-b76d-b8bbee122f67 · outbound

This paper cites Cliploss and norm-based data selection methods for multimodal con- trastive learning.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Cliploss and norm-based data selection methods for multimodal con- trastive learning

Reference 53

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Observation 62ae9cf0-c8c6-446b-9615-11b22448e936 · outbound

This paper cites Memorization in deep learning: A survey.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Memorization in deep learning: A survey

Reference 54

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This paper cites Icons: Influence consensus for vision-language data selection.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Icons: Influence consensus for vision-language data selection

Reference 55

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This paper cites Moderate coreset: A universal method of data selection for real-world data-efficient deep learning.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Moderate coreset: A universal method of data selection for real-world data-efficient deep learning

Reference 56

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This paper cites Bicro: Noisy correspon- dence rectification for multi-modality data via bi-directional cross-modal similarity consistency.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Bicro: Noisy correspon- dence rectification for multi-modality data via bi-directional cross-modal similarity consistency

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:00.466499Z

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Observation 162a73ca-1670-48b0-8e20-c81364edc06f · outbound

This paper cites Latent class-conditional noise model.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Latent class-conditional noise model

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:00.318510Z

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Observation b34a92ab-b7f3-478b-a09f-b59afbacf53a · outbound

This paper cites On early stopping in gradient descent learning.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning On early stopping in gradient descent learning

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:00.087421Z

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Observation 39f06a3c-8916-42cf-b9e1-08ac95d31347 · outbound

This paper cites From image descriptions to visual denotations: New similarity metrics for semantic inference over event descrip- tions.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning From image descriptions to visual denotations: New similarity metrics for semantic inference over event descrip- tions

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:39:59.895072Z

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Observation 5f0c6063-136d-4356-8a35-b1172640bbda · outbound

This paper cites Mitigating noisy corre- spondence by geometrical structure consistency learning.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Mitigating noisy corre- spondence by geometrical structure consistency learning

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:39:59.760581Z

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Observation 674260a7-b5ff-42bc-9d39-00cdaec04f00 · outbound

This paper cites Coverage-centric Coreset Selection for High Pruning Rates.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Coverage-centric Coreset Selection for High Pruning Rates

Reference 62

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Observation 6f39a56c-16bf-4166-b1e7-ae9b36d0a875 · outbound

This paper cites Learn- ing to instruct for visual instruction tuning.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Learn- ing to instruct for visual instruction tuning

Reference 63

Resolution: verified exact; raw_fallback, observed 2026-08-06T16:39:58.908079Z

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Observation 660fdd27-c0e4-4ef9-825f-dc32dd361601 · outbound

This paper cites Uncover the balanced geometry in long-tailed contrastive language-image pretraining.

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning Uncover the balanced geometry in long-tailed contrastive language-image pretraining

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:39:59.491818Z

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