ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning | Paper Citation Record

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This paper cites Dash: Semi-supervised learning with dynamic thresholding,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Dash: Semi-supervised learning with dynamic thresholding,

Reference 1

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This paper cites Cossl: Co-learning of representation and classifier for imbalanced semi-supervised learning,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Cossl: Co-learning of representation and classifier for imbalanced semi-supervised learning,

Reference 2

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This paper cites FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

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This paper cites AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning

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This paper cites Fixmatch: Simplifying semi- supervised learning with consistency and confidence,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Fixmatch: Simplifying semi- supervised learning with consistency and confidence,

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This paper cites Dynamic learnable logit adjustment for long-tailed visual recognition,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Dynamic learnable logit adjustment for long-tailed visual recognition,

Reference 6

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Observation d2a7ff3d-be4c-4325-b815-8facb7a2b314 · outbound

This paper cites Learning label shift correction for test-agnostic long-tailed recognition,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Learning label shift correction for test-agnostic long-tailed recognition,

Reference 7

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This paper cites Large- scale long-tailed recognition in an open world,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Large- scale long-tailed recognition in an open world,

Reference 8

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This paper cites Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition

Reference 9

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This paper cites Towards realistic long-tailed semi-supervised learning: Consistency is all you need,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Towards realistic long-tailed semi-supervised learning: Consistency is all you need,

Reference 10

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This paper cites Three heads are better than one: Complementary experts for long-tailed semi-supervised learn- ing,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Three heads are better than one: Complementary experts for long-tailed semi-supervised learn- ing,

Reference 11

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Observation 399d19e9-0e7b-494e-946c-882472a5e987 · outbound

This paper cites Distribu- tion aligning refinery of pseudo-label for imbalanced semi-supervised learning,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Distribu- tion aligning refinery of pseudo-label for imbalanced semi-supervised learning,

Reference 12

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This paper cites Crest: A class- rebalancing self-training framework for imbalanced semi-supervised learning,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Crest: A class- rebalancing self-training framework for imbalanced semi-supervised learning,

Reference 13

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This paper cites Class-imbalanced semi-supervised learning with adaptive thresholding,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Class-imbalanced semi-supervised learning with adaptive thresholding,

Reference 14

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This paper cites Smoothed adaptive weighting for imbalanced semi-supervised learning: Improve reliability against unknown distribution data,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Smoothed adaptive weighting for imbalanced semi-supervised learning: Improve reliability against unknown distribution data,

Reference 15

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Observation d98c88c8-7a94-4e61-8d0c-5db70fd252b9 · outbound

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

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Learning transferable visual models from natural language supervision,

Reference 16

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This paper cites What makes clip more robust to long-tailed pre-training data? a controlled study for transferable insights,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning What makes clip more robust to long-tailed pre-training data? a controlled study for transferable insights,

Reference 17

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Observation e394cc45-0b86-48bf-912c-ff38469dcc78 · outbound

This paper cites Long-tail learning with foundation model: Heavy fine-tuning hurts,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Long-tail learning with foundation model: Heavy fine-tuning hurts,

Reference 18

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Observation 8477b09e-9b60-4dd7-9a8f-29451fd8f2fd · outbound

This paper cites Learning transferable negative prompts for out-of-distribution detection,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Learning transferable negative prompts for out-of-distribution detection,

Reference 19

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This paper cites Locoop: Few-shot out- of-distribution detection via prompt learning,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Locoop: Few-shot out- of-distribution detection via prompt learning,

Reference 20

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This paper cites Daso: Distribution-aware semantics- oriented pseudo-label for imbalanced semi-supervised learning,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Daso: Distribution-aware semantics- oriented pseudo-label for imbalanced semi-supervised learning,

Reference 21

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This paper cites Bacon: Boosting imbalanced semi- supervised learning via balanced feature-level contrastive learning,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Bacon: Boosting imbalanced semi- supervised learning via balanced feature-level contrastive learning,

Reference 22

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This paper cites Abc: Auxiliary balanced classifier for class-imbalanced semi-supervised learning,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Abc: Auxiliary balanced classifier for class-imbalanced semi-supervised learning,

Reference 23

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

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Scaling up visual and vision-language representation learning with noisy text supervision,

Reference 24

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Observation af6fbf33-099c-4859-9ac3-7d9e6f27dae6 · outbound

This paper cites Slip: Self-supervision meets language-image pre-training,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Slip: Self-supervision meets language-image pre-training,

Reference 25

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This paper cites Coca: Contrastive captioners are image-text foundation models,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Coca: Contrastive captioners are image-text foundation models,

Reference 26

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This paper cites SimVLM: Simple Visual Language Model Pretraining with Weak Supervision.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning SimVLM: Simple Visual Language Model Pretraining with Weak Supervision

Reference 27

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This paper cites Uniformly distributed cat- egory prototype-guided vision-language framework for long-tail recog- nition,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Uniformly distributed cat- egory prototype-guided vision-language framework for long-tail recog- nition,

Reference 28

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This paper cites Vl-ltr: Learning class- wise visual-linguistic representation for long-tailed visual recognition,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Vl-ltr: Learning class- wise visual-linguistic representation for long-tailed visual recognition,

Reference 29

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This paper cites Ltgc: Long- tail recognition via leveraging llms-driven generated content,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Ltgc: Long- tail recognition via leveraging llms-driven generated content,

Reference 30

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This paper cites A Simple Long-Tailed Recognition Baseline via Vision-Language Model.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning A Simple Long-Tailed Recognition Baseline via Vision-Language Model

Reference 31

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This paper cites Lpt: Long-tailed prompt tuning for image classification,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Lpt: Long-tailed prompt tuning for image classification,

Reference 32

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This paper cites Improving visual prompt tuning by gaussian neighborhood minimization for long- tailed visual recognition,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Improving visual prompt tuning by gaussian neighborhood minimization for long- tailed visual recognition,

Reference 33

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This paper cites Imbalanced semi- supervised learning with bias adaptive classifier,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Imbalanced semi- supervised learning with bias adaptive classifier,

Reference 34

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This paper cites Bem: Balanced and entropy-based mix for long-tailed semi-supervised learning,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Bem: Balanced and entropy-based mix for long-tailed semi-supervised learning,

Reference 35

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This paper cites Twice class bias correction for imbalanced semi-supervised learning,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Twice class bias correction for imbalanced semi-supervised learning,

Reference 36

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This paper cites Continuous contrastive learning for long-tailed semi-supervised recog- nition,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Continuous contrastive learning for long-tailed semi-supervised recog- nition,

Reference 37

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Observation 7fb272c1-e75f-44c5-8d44-47359ac82ca9 · outbound

This paper cites Long-tail learning via logit adjustment.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Long-tail learning via logit adjustment

Reference 38

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

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Learning multiple layers of features from tiny images,

Reference 39

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This paper cites An analysis of single-layer networks in unsupervised feature learning,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning An analysis of single-layer networks in unsupervised feature learning,

Reference 40

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

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Pytorch: An imperative style, high-performance deep learning library,

Reference 41

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This paper cites Erasing the bias: Fine-tuning foundation models for semi-supervised learning,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Erasing the bias: Fine-tuning foundation models for semi-supervised learning,

Reference 42

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This paper cites Adaptformer: Adapting vision transformers for scalable visual recogni- tion,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Adaptformer: Adapting vision transformers for scalable visual recogni- tion,

Reference 43

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This paper cites Transfer and share: semi-supervised learning from long-tailed data,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Transfer and share: semi-supervised learning from long-tailed data,

Reference 44

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Observation 35bbbb64-3fba-4a44-804d-164eaab4c15e · outbound

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

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Debiased learning from naturally imbalanced pseudo-labels,

Reference 45

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This paper cites Bitfit: Simple parameter- efficient fine-tuning for transformer-based masked language-models,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Bitfit: Simple parameter- efficient fine-tuning for transformer-based masked language-models,

Reference 46

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This paper cites Visual prompt tuning,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Visual prompt tuning,

Reference 47

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This paper cites Parameter-efficient transfer learning for nlp,.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Parameter-efficient transfer learning for nlp,

Reference 48

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

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Lora: Low-rank adaptation of large language models,

Reference 49

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