Active Learning via Vision-Language Model Adaptation with Open Data | Paper Citation Record

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This paper cites Gone fishing: Neural active learning with fisher embeddings.

Active Learning via Vision-Language Model Adaptation with Open Data Gone fishing: Neural active learning with fisher embeddings

Reference 1

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This paper cites Ash, Chicheng Zhang, Akshay Krishnamurthy, John Langford, and Alekh Agarwal.

Active Learning via Vision-Language Model Adaptation with Open Data Ash, Chicheng Zhang, Akshay Krishnamurthy, John Langford, and Alekh Agarwal

Reference 2

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This paper cites Active prompt learning in vision language models.

Active Learning via Vision-Language Model Adaptation with Open Data Active prompt learning in vision language models

Reference 3

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This paper cites Retrieval-augmented diffusion models.

Active Learning via Vision-Language Model Adaptation with Open Data Retrieval-augmented diffusion models

Reference 4

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This paper cites Food-101 - mining discriminative components with random forests.

Active Learning via Vision-Language Model Adaptation with Open Data Food-101 - mining discriminative components with random forests

Reference 5

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This paper cites Visualgpt: Data-efficient adaptation of pretrained language models for image captioning.

Active Learning via Vision-Language Model Adaptation with Open Data Visualgpt: Data-efficient adaptation of pretrained language models for image captioning

Reference 6

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This paper cites Re-imagen: Retrieval-augmented text-to-image generator.

Active Learning via Vision-Language Model Adaptation with Open Data Re-imagen: Retrieval-augmented text-to-image generator

Reference 7

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

Active Learning via Vision-Language Model Adaptation with Open Data Reproducible scaling laws for contrastive language-image learning

Reference 9

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Active Learning via Vision-Language Model Adaptation with Open Data Unresolved cited work

Reference 10

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This paper cites Deep bayesian active learning with image data.

Active Learning via Vision-Language Model Adaptation with Open Data Deep bayesian active learning with image data

Reference 11

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This paper cites Finetune like you pretrain: Improved finetuning of zero-shot vision models.

Active Learning via Vision-Language Model Adaptation with Open Data Finetune like you pretrain: Improved finetuning of zero-shot vision models

Reference 12

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This paper cites From images to textual prompts: Zero-shot visual question answering with frozen large language models.

Active Learning via Vision-Language Model Adaptation with Open Data From images to textual prompts: Zero-shot visual question answering with frozen large language models

Reference 13

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This paper cites Retrieval augmented language model pre-training.

Active Learning via Vision-Language Model Adaptation with Open Data Retrieval augmented language model pre-training

Reference 14

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This paper cites Using trusted data to train deep networks on labels corrupted by severe noise.

Active Learning via Vision-Language Model Adaptation with Open Data Using trusted data to train deep networks on labels corrupted by severe noise

Reference 15

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This paper cites Entropy-based active learning for object recognition.

Active Learning via Vision-Language Model Adaptation with Open Data Entropy-based active learning for object recognition

Reference 16

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This paper cites Active learning by learning.

Active Learning via Vision-Language Model Adaptation with Open Data Active learning by learning

Reference 17

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This paper cites Active learning by querying informative and representative examples.

Active Learning via Vision-Language Model Adaptation with Open Data Active learning by querying informative and representative examples

Reference 18

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

Active Learning via Vision-Language Model Adaptation with Open Data Scaling up visual and vision-language representation learning with noisy text supervision

Reference 19

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This paper cites Maple: Multi-modal prompt learning.

Active Learning via Vision-Language Model Adaptation with Open Data Maple: Multi-modal prompt learning

Reference 20

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This paper cites Re-thinking federated active learning based on inter-class diversity.

Active Learning via Vision-Language Model Adaptation with Open Data Re-thinking federated active learning based on inter-class diversity

Reference 21

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This paper cites Batchbald: Efficient and diverse batch acquisition for deep bayesian active learning.

Active Learning via Vision-Language Model Adaptation with Open Data Batchbald: Efficient and diverse batch acquisition for deep bayesian active learning

Reference 22

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This paper cites 3d object representations for fine-grained categorization.

Active Learning via Vision-Language Model Adaptation with Open Data 3d object representations for fine-grained categorization

Reference 23

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This paper cites Fine-tuning can distort pretrained features and underperform out-of-distribution.

Active Learning via Vision-Language Model Adaptation with Open Data Fine-tuning can distort pretrained features and underperform out-of-distribution

Reference 24

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This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks.

Active Learning via Vision-Language Model Adaptation with Open Data Retrieval- augmented generation for knowledge-intensive nlp tasks

Reference 25

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This paper cites Internet explorer: Targeted representation learning on the open web.

Active Learning via Vision-Language Model Adaptation with Open Data Internet explorer: Targeted representation learning on the open web

Reference 26

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This paper cites Align before fuse: Vision and language representation learning with momentum distillation.

Active Learning via Vision-Language Model Adaptation with Open Data Align before fuse: Vision and language representation learning with momentum distillation

Reference 27

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

Active Learning via Vision-Language Model Adaptation with Open Data Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 28

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This paper cites Active learning with multi-label svm classification.

Active Learning via Vision-Language Model Adaptation with Open Data Active learning with multi-label svm classification

Reference 29

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This paper cites Multimodality helps unimodality: Cross-modal few-shot learning with multimodal models.

Active Learning via Vision-Language Model Adaptation with Open Data Multimodality helps unimodality: Cross-modal few-shot learning with multimodal models

Reference 30

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This paper cites Learn- ing customized visual models with retrieval-augmented knowledge.

Active Learning via Vision-Language Model Adaptation with Open Data Learn- ing customized visual models with retrieval-augmented knowledge

Reference 31

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This paper cites Few-shot recognition via stage-wise retrieval- augmented finetuning.

Active Learning via Vision-Language Model Adaptation with Open Data Few-shot recognition via stage-wise retrieval- augmented finetuning

Reference 32

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This paper cites Influence selection for active learning.

Active Learning via Vision-Language Model Adaptation with Open Data Influence selection for active learning

Reference 33

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This paper cites Fine-Grained Visual Classification of Aircraft.

Active Learning via Vision-Language Model Adaptation with Open Data Fine-Grained Visual Classification of Aircraft

Reference 34

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This paper cites A study of the effect of different types of noise on the precision of supervised learning techniques.

Active Learning via Vision-Language Model Adaptation with Open Data A study of the effect of different types of noise on the precision of supervised learning techniques

Reference 35

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This paper cites The neglected tails in vision-language models.

Active Learning via Vision-Language Model Adaptation with Open Data The neglected tails in vision-language models

Reference 36

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This paper cites Cats and dogs.

Active Learning via Vision-Language Model Adaptation with Open Data Cats and dogs

Reference 37

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This paper cites Active learning by feature mixing.

Active Learning via Vision-Language Model Adaptation with Open Data Active learning by feature mixing

Reference 38

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This paper cites Learning transferable visual models from natural language supervision.

Active Learning via Vision-Language Model Adaptation with Open Data Learning transferable visual models from natural language supervision

Reference 39

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This paper cites A survey of deep active learning.

Active Learning via Vision-Language Model Adaptation with Open Data A survey of deep active learning

Reference 40

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This paper cites Margin-based active learning for structured output spaces.

Active Learning via Vision-Language Model Adaptation with Open Data Margin-based active learning for structured output spaces

Reference 41

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This paper cites Consistency-guided prompt learning for vision-language models.

Active Learning via Vision-Language Model Adaptation with Open Data Consistency-guided prompt learning for vision-language models

Reference 42

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Active Learning via Vision-Language Model Adaptation with Open Data Unresolved cited work

Reference 43

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

Active Learning via Vision-Language Model Adaptation with Open Data LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 44

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This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

Active Learning via Vision-Language Model Adaptation with Open Data Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 45

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This paper cites Active learning for convolutional neural networks: A core-set approach.

Active Learning via Vision-Language Model Adaptation with Open Data Active learning for convolutional neural networks: A core-set approach

Reference 46

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This paper cites Active learning literature survey.

Active Learning via Vision-Language Model Adaptation with Open Data Active learning literature survey

Reference 47

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This paper cites Get another label? improving data quality and data mining using multiple, noisy labelers.

Active Learning via Vision-Language Model Adaptation with Open Data Get another label? improving data quality and data mining using multiple, noisy labelers

Reference 48

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This paper cites The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop.

Active Learning via Vision-Language Model Adaptation with Open Data The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop

Reference 49

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This paper cites Alpha-clip: A clip model focusing on wherever you want.

Active Learning via Vision-Language Model Adaptation with Open Data Alpha-clip: A clip model focusing on wherever you want

Reference 50

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This paper cites Neural priming for sample-efficient adaptation.

Active Learning via Vision-Language Model Adaptation with Open Data Neural priming for sample-efficient adaptation

Reference 51

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This paper cites A new active labeling method for deep learning.

Active Learning via Vision-Language Model Adaptation with Open Data A new active labeling method for deep learning

Reference 52

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This paper cites Cogvlm: Visual expert for pretrained language models.

Active Learning via Vision-Language Model Adaptation with Open Data Cogvlm: Visual expert for pretrained language models

Reference 53

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This paper cites Debiased learning from naturally imbalanced pseudo-labels.

Active Learning via Vision-Language Model Adaptation with Open Data Debiased learning from naturally imbalanced pseudo-labels

Reference 54

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This paper cites Aligning pretraining for detection via object-level contrastive learning.

Active Learning via Vision-Language Model Adaptation with Open Data Aligning pretraining for detection via object-level contrastive learning

Reference 55

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This paper cites Using active learning to expand training data for implicit discourse relation recognition.

Active Learning via Vision-Language Model Adaptation with Open Data Using active learning to expand training data for implicit discourse relation recognition

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:41:45.490940Z

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Observation e59fffd7-8530-428e-a9f9-9e1143a74345 · outbound

This paper cites Multi-class active learning by uncertainty sampling with diversity maximization.

Active Learning via Vision-Language Model Adaptation with Open Data Multi-class active learning by uncertainty sampling with diversity maximization

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:41:45.480768Z

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Observation 62906a95-d74c-43a7-b605-f42113334afe · outbound

This paper cites Learning loss for active learning.

Active Learning via Vision-Language Model Adaptation with Open Data Learning loss for active learning

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:41:45.471194Z

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Observation b56ba36e-1009-4930-bf80-b20ce4c6ac73 · outbound

This paper cites Conditional prompt learning for vision-language models.

Active Learning via Vision-Language Model Adaptation with Open Data Conditional prompt learning for vision-language models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:41:45.461243Z

Source-reported events for the cited work

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Observation 4ad0daf1-b5b2-48d6-b416-30f24629fbd0 · outbound

This paper cites 727-200" (Aircraft dataset) retrieves an eBay product listing titled.

Active Learning via Vision-Language Model Adaptation with Open Data 727-200" (Aircraft dataset) retrieves an eBay product listing titled

Reference 60

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T11:41:45.451299Z

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