BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation | Paper Citation Record

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This paper cites Vari- ational inference: A review for statisticians.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Vari- ational inference: A review for statisticians

Reference 1

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This paper cites Food-101 – mining discriminative components with ran- dom forests.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Food-101 – mining discriminative components with ran- dom forests

Reference 2

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

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Emerg- ing properties in self-supervised vision transformers

Reference 3

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This paper cites Castro-Mac ´ıas, Pablo Morales- ´Alvarez, Yunan Wu, Rafael Molina, and Aggelos K.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Castro-Mac ´ıas, Pablo Morales- ´Alvarez, Yunan Wu, Rafael Molina, and Aggelos K

Reference 4

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

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation An empirical study of training self-supervised vision transformers

Reference 5

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This paper cites Describing textures in the wild.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Describing textures in the wild

Reference 6

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

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Imagenet: A large-scale hierarchical im- age database

Reference 7

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This paper cites Turrisi da Costa, Cees G.M.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Turrisi da Costa, Cees G.M

Reference 8

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Observation dae27d80-d706-4e43-93f1-0c4394fcd23c · outbound

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

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation An image is worth 16x16 words: Transformers for image recognition at scale

Reference 9

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Observation 925b9cbf-9f1b-41ec-be54-fa3e2601888e · outbound

This paper cites Improving clip training with language rewrites.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Improving clip training with language rewrites

Reference 10

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This paper cites Fergus, and P.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Fergus, and P

Reference 11

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Observation b24afff4-1616-49df-9b47-07244b1e19a5 · outbound

This paper cites CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring

Reference 12

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This paper cites Clip-adapter: Better vision-language models with feature adapters.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Clip-adapter: Better vision-language models with feature adapters

Reference 13

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This paper cites Selective classification for deep neural networks.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Selective classification for deep neural networks

Reference 14

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This paper cites A data-driven measure of relative uncertainty for misclassification detection.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation A data-driven measure of relative uncertainty for misclassification detection

Reference 15

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This paper cites Weinberger.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Weinberger

Reference 16

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This paper cites Pay attention to your neighbours: Training-free open-vocabulary semantic segmentation.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Pay attention to your neighbours: Training-free open-vocabulary semantic segmentation

Reference 17

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This paper cites Visual-language prompt tuning with knowledge-guided context optimization.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Visual-language prompt tuning with knowledge-guided context optimization

Reference 18

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This paper cites Deep residual learning for image recognition.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Deep residual learning for image recognition.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2016

Reference 19

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This paper cites Introducing eurosat: A novel dataset and deep learning benchmark for land use and land cover clas- sification.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Introducing eurosat: A novel dataset and deep learning benchmark for land use and land cover clas- sification

Reference 20

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This paper cites Improving explorability in variational inference with annealed variational objectives.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Improving explorability in variational inference with annealed variational objectives

Reference 21

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This paper cites Lp++: A surprisingly strong linear probe for few-shot clip.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Lp++: A surprisingly strong linear probe for few-shot clip

Reference 22

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Observation ba55f29f-b553-41d3-a046-eede82a9f1f3 · outbound

This paper cites What are bayesian neural network posteriors really like? In International conference on machine learning, pages 4629–4640.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation What are bayesian neural network posteriors really like? In International conference on machine learning, pages 4629–4640

Reference 23

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This paper cites On uncertainty, tempering, and data aug- mentation in bayesian classification.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation On uncertainty, tempering, and data aug- mentation in bayesian classification

Reference 24

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This paper cites Consistency and uncertainty: Iden- tifying unreliable responses from black-box vision-language models for selective visual question answering.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Consistency and uncertainty: Iden- tifying unreliable responses from black-box vision-language models for selective visual question answering

Reference 25

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Observation ec393d9a-a392-4179-ac54-c6cbff43c5a8 · outbound

This paper cites Maple: Multi-modal prompt learning.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Maple: Multi-modal prompt learning

Reference 26

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Observation ee1c3b4b-7cf5-445a-8803-73786fcc13e1 · outbound

This paper cites Variational diffusion models.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Variational diffusion models

Reference 27

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Observation cd5b9565-cf22-4ed7-a227-ecc09e79adf5 · outbound

This paper cites Auto-Encoding Variational Bayes.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Auto-Encoding Variational Bayes

Reference 28

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

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation 3d object representations for fine-grained categorization

Reference 29

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This paper cites Effective adaptation in multi- task co-training for unified autonomous driving.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Effective adaptation in multi- task co-training for unified autonomous driving

Reference 30

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

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Multimodality helps unimodality: Cross- modal few-shot learning with multimodal models

Reference 31

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This paper cites Clip-driven universal model for organ segmentation and tumor detection.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Clip-driven universal model for organ segmentation and tumor detection

Reference 32

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This paper cites Energy-based out-of-distribution detection.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Energy-based out-of-distribution detection

Reference 33

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BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Unresolved cited work

Reference 34

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This paper cites Bayesian exploration of pre-trained models for low-shot image classi- fication.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Bayesian exploration of pre-trained models for low-shot image classi- fication

Reference 35

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This paper cites Activation- level uncertainty in deep neural networks.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Activation- level uncertainty in deep neural networks

Reference 36

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This paper cites Katsaggelos.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Katsaggelos

Reference 37

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This paper cites Robust calibration of large vision- language adapters.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Robust calibration of large vision- language adapters

Reference 38

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This paper cites Automated flower classification over a large number of classes.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Automated flower classification over a large number of classes

Reference 39

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This paper cites Dusenberry, Linchuan Zhang, Ghassen Jerfel, and Dustin Tran.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Dusenberry, Linchuan Zhang, Ghassen Jerfel, and Dustin Tran

Reference 40

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This paper cites To- wards calibrated robust fine-tuning of vision-language mod- els.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation To- wards calibrated robust fine-tuning of vision-language mod- els

Reference 41

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BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Unresolved cited work

Reference 42

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This paper cites Cats and dogs.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Cats and dogs

Reference 43

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Observation 26016f68-ecab-4fba-84a5-c8cfadf8dfe0 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Learn- ing transferable visual models from natural language super- vision

Reference 44

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Observation 2ce8f1ea-215f-4a60-8d45-1d98e0d56ec1 · outbound

This paper cites Clip for all things zero-shot sketch-based image retrieval, fine- grained or not.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Clip for all things zero-shot sketch-based image retrieval, fine- grained or not

Reference 45

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This paper cites Few-shot adaptation of medical vision-language models.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Few-shot adaptation of medical vision-language models

Reference 46

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This paper cites A closer look at the few-shot adaptation of large vision-language models.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation A closer look at the few-shot adaptation of large vision-language models

Reference 47

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This paper cites Ucf101: A dataset of 101 human actions classes from videos in the wild.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Ucf101: A dataset of 101 human actions classes from videos in the wild

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:54:19.112543Z

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Observation 50cd1510-4adc-40cc-aecc-c0ecf14b965a · outbound

This paper cites An empirical study into what matters for calibrating vision-language models.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation An empirical study into what matters for calibrating vision-language models

Reference 49

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Observation 4e6559fc-90b8-4ad3-933b-fc0e2aee4964 · outbound

This paper cites Probvlm: Probabilistic adapter for frozen vison-language models.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Probvlm: Probabilistic adapter for frozen vison-language models

Reference 50

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Observation 0638db17-342b-4e05-9920-b3e28a558b51 · outbound

This paper cites Sclip: Rethink- ing self-attention for dense vision-language inference.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Sclip: Rethink- ing self-attention for dense vision-language inference

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:54:19.070484Z

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This paper cites Open-vocabulary calibration for fine-tuned clip.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Open-vocabulary calibration for fine-tuned clip

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:54:19.056825Z

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Observation c7e94791-e554-4c8d-af7b-2ab730d04188 · outbound

This paper cites Bayesian Example Selection Improves In-Context Learning for Speech, Text, and Visual Modalities.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Bayesian Example Selection Improves In-Context Learning for Speech, Text, and Visual Modalities

Reference 53

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This paper cites Bayesian deep learn- ing and a probabilistic perspective of generalization.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Bayesian deep learn- ing and a probabilistic perspective of generalization

Reference 54

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This paper cites Confidence-aware contrastive learn- ing for selective classification.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Confidence-aware contrastive learn- ing for selective classification

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:54:19.029280Z

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Observation cdef65e3-68ae-4d51-b0e2-995fec5505d9 · outbound

This paper cites Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-11T16:54:18.821466Z

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Observation fbfa8e3e-f262-4207-9c32-870fd2a9f60a · outbound

This paper cites Ehinger, Aude Oliva, and Antonio Torralba.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Ehinger, Aude Oliva, and Antonio Torralba

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:54:19.014771Z

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Observation b9203c23-e2bc-40e8-ba6d-8550bc6d8cc8 · outbound

This paper cites C-tpt: Calibrated test-time prompt tuning for vision-language mod- els via text feature dispersion.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation C-tpt: Calibrated test-time prompt tuning for vision-language mod- els via text feature dispersion

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:54:18.999888Z

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Observation ea3c9946-f2ef-42da-879c-df5912e6d3b1 · outbound

This paper cites Task residual for tuning vision-language models.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Task residual for tuning vision-language models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:54:18.985704Z

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Observation 73609cf7-30b5-4d67-a07c-e084003d22cc · outbound

This paper cites Advances in variational inference.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Advances in variational inference

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:54:18.971854Z

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Observation 073dae7f-52ba-453c-8b24-d8d2a107b37f · outbound

This paper cites Tip-adapter: Training-free clip-adapter for better vision- language modeling.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Tip-adapter: Training-free clip-adapter for better vision- language modeling

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:54:18.957205Z

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Observation d830ab30-f3fc-46d4-b11a-083778e5ecdd · outbound

This paper cites Conditional prompt learning for vision-language mod- els.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Conditional prompt learning for vision-language mod- els

Reference 62

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Observation 3000188c-3697-4c67-a5cd-b377e8466538 · outbound

This paper cites Learning to prompt for vision-language models.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Learning to prompt for vision-language models

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:54:18.933730Z

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Observation 866984a7-628d-4c8e-b400-3845381e38eb · outbound

This paper cites Prompt-aligned gradient for prompt tuning.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Prompt-aligned gradient for prompt tuning

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:54:18.919211Z

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Observation 96aa2fbe-4ed5-4b36-a670-9e883c5b5098 · outbound

This paper cites Bayesian cross-modal alignment learning for few-shot out- of-distribution generalization.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Bayesian cross-modal alignment learning for few-shot out- of-distribution generalization

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:54:18.904381Z

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Observation 2a4b170d-7237-4fee-bb31-b92efdb8c04c · outbound

This paper cites Theoretical derivations A.1.

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation Theoretical derivations A.1

Reference 2023

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T16:54:18.889579Z

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