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Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2511.21007.
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Source: paper_references, paper_reference_links, observed 2026-08-03T20:12:20.076458Z
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69 of 69 outbound references displayed
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Observation 132321d2-94fd-4fa3-b524-fc9783c192d6 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation One size does not fit all in evaluating model selection scores for image clas- sification.Scientific Reports, 14(1):30239, 2024
Reference 1
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Observation 2570b316-944d-41db-9866-756fb48eb29b · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Task2vec: Task embedding for meta-learning
Reference 2
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Observation e8f83d66-d912-496d-a819-3c0b4b2fe77f · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Unresolved cited work
Reference 3
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Observation f441ceb5-b995-4405-a787-bb3ac845e3c2 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation An information- theoretic approach to transferability in task transfer learning
Reference 4
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Observation 80cf5635-497e-4f7d-87c2-6e23669311cb · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Food-101–mining discriminative components with random forests
Reference 5
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Observation 1834e758-bfe4-409a-b715-830a5fc218a2 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Learning to rank using gradient descent
Reference 6
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Observation 119cd1d3-965b-433d-808c-34a4f4a52d9d · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Learning to rank: from pairwise approach to listwise ap- proach
Reference 7
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Observation b213e20b-cf82-45a1-bc5b-f2aa1bdd3942 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Xgboost: A scalable tree boosting system
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Observation 462ee059-3cea-450a-896f-d42e371272c9 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Describing textures in the wild
Reference 9
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Observation f8bdb5e5-2f21-4105-b820-d3071e90dff2 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Which Model to Transfer? A Survey on Transferability Estimation
Reference 10
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Observation fe364617-2b11-4fcb-a3ea-f2959230f1a3 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Pre-trained model reusability evaluation for small-data trans- fer learning.Advances in Neural Information Processing Systems, 35:37389–37400, 2022
Reference 11
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Observation fc9bcc3e-6a0d-472c-889f-2b5ec9ea3c42 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation AutoML using Metadata Language Embeddings
Reference 12
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Observation 04e56ec2-f5b3-4c14-8aba-8207c44fec40 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation The pascal visual object classes (voc) challenge.International journal of computer vision, 88(2):303–338, 2010
Reference 13
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Observation 2bae0f93-cb6f-426d-ac7c-6c7ace8d8c81 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Comparing top k lists.SIAM Journal on discrete mathemat- ics, 17(1):134–160, 2003
Reference 14
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Observation f5db4447-69e5-40b3-8a7b-50668b5ad1a9 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
Reference 15
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Observation ee46e116-4d5c-4a41-a809-31065142d1bb · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
Reference 16
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Observation 5998e43b-90eb-4502-8ede-55b706317e87 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Rankme: Assessing the downstream perfor- mance of pretrained self-supervised representations by their rank
Reference 17
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Observation 53072b04-2174-4d11-8c62-39e172f14c90 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Etran: Energy-based transferability estimation
Reference 18
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Observation 6ef075b5-1f3c-47d4-865b-387be71dbbd5 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation KITE: A Kernel-based Improved Transferability Estimation Method
Reference 19
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Observation 282e5adc-86c8-436e-b7a7-9661865591ac · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Deep residual learning for image recognition
Reference 20
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Observation 0829169a-b49d-4dff-9837-9c98d8838279 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Neural collaborative filtering
Reference 21
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Observation 93b7f625-1809-44b0-90d5-cc7221b64dcd · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Sup- port vector learning for ordinal regression
Reference 22
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Observation d7214415-aa87-4dbe-a7ca-6fe2f6bb0128 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Meta-learning in neural networks: A survey
Reference 23
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Observation b4cc1558-22e9-43ab-bc11-34132a66103d · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Strategies for Pre-training Graph Neural Networks
Reference 24
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Observation 32eeedf8-7279-44d3-a054-2b4a40326555 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Densely connected convolutional net- works
Reference 25
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Observation d3adde33-1990-44e9-8724-9f98f7d6d1e8 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Cumulated gain- based evaluation of ir techniques.ACM Transactions on In- formation Systems (TOIS), 20(4):422–446, 2002
Reference 26
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Observation c0e06b19-cf37-4883-b240-a69b6f7b0406 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Dataset2vec: Learning dataset meta-features.Data Mining and Knowledge Discovery, 35(3):964–985, 2021
Reference 27
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Observation 569d36b2-cda7-4036-af9f-d98908dea058 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Isac–instance-specific algorithm configura- tion
Reference 28
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Observation bc3fa0bc-a695-42e3-a991-938091f2100b · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Do better imagenet models transfer better? InProceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 2661–2671, 2019
Reference 29
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Observation e9f28506-d2ed-47ff-a513-934950f34ad1 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Collecting a large-scale dataset of fine-grained cars
Reference 30
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Observation e2cca632-8828-4c14-be01-1e732060382e · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Learning multiple layers of features from tiny images
Reference 31
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Observation afcbcd21-ab88-4d43-86ff-fe0a23fcd28f · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Ranking neural checkpoints
Reference 32
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Observation 310712ae-cf7a-4a80-8647-a239b8bad916 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Learning to rank for information re- trieval.Foundations and Trends® in Information Retrieval, 3(3):225–331, 2009
Reference 33
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Observation 36dc4605-58f1-4fc8-8fbc-410585d85c13 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Fine-Grained Visual Classification of Aircraft
Reference 34
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Observation acb34b2c-6279-421b-9f42-83ca6c180d82 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Alors: An algorithm recommender system.Artificial Intelligence, 244:291–314,
Reference 35
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Observation a00c4652-2589-49dd-b056-6d0b8d7e5f62 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Discriminative models for information retrieval
Reference 36
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Observation b409b765-cf53-42aa-9fc4-bdd585c6203b · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Leep: A new measure to evaluate transferabil- ity of learned representations
Reference 37
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Observation 82065eb2-f925-401f-9bf4-45729d9b5d20 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Simple algorithm portfolio for sat.Artificial Intelligence Review, 40 (4):457–465, 2013
Reference 38
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Observation e5c1c18a-2bf5-4ba6-a9aa-685ede36c442 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Automated flower classification over a large number of classes
Reference 39
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Observation 1994f487-aad3-4b14-8dd3-c2b336084b2e · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation A survey on transfer learn- ing.IEEE Transactions on knowledge and data engineering, 22(10):1345–1359, 2009
Reference 40
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Observation cabf708c-230f-4e0e-a8a8-c71bf37d3181 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Transferability estima- tion using bhattacharyya class separability
Reference 41
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Observation 1e78de46-6857-4211-81ae-161e599baf48 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Cats and dogs
Reference 42
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Observation 4ea0069f-a8d3-4b88-9a52-432123bdfc6d · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation MetaOOD: Automatic Selection of OOD Detection Models
Reference 43
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Observation 653bca17-49c5-4c62-bb25-a6cb6df9f9d4 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Automatic classifier selection for non-experts.Pattern Analysis and Applications, 17(1): 83–96, 2014
Reference 44
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Observation c1ae390a-5aa9-4568-a065-b79e88f4035f · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Reference 45
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Observation 5a7768cc-a743-4e44-a9e2-afeb5f26c611 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Mobilenetv2: Inverted residuals and linear bottlenecks
Reference 46
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Observation 331c187e-bd8a-4341-91c0-9fa2de96724f · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Not all models are equal: Predicting model transferability in a self- challenging fisher space
Reference 47
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Observation c5576221-1018-4ac4-b36e-292927f34b03 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Analysis and Prediction of NLP Models Via Task Embeddings
Reference 48
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Observation 04369c59-84ba-4fec-9cab-1f49cc9bfe95 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Going deeper with convolutions
Reference 49
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Observation 8920c940-d17a-4e80-a063-d1c0665f0680 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Rethinking the inception archi- tecture for computer vision
Reference 50
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Observation 7c98ff9c-b47d-42f6-b607-e33420917e1c · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Mnas- net: Platform-aware neural architecture search for mobile
Reference 51
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Observation 9f97f35a-43f6-4273-adc4-1fe2f6502e6c · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Learning to learn: In- troduction and overview
Reference 52
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Observation 7fb08907-5fd7-4e89-acac-ec33c88f678e · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Transfer- ability and hardness of supervised classification tasks
Reference 53
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Observation 6ca1ef70-ea84-41f1-8fa1-20ff22c21920 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Meta-Learning: A Survey
Reference 54
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Observation 797ae210-70c8-428a-9ec4-b7a7384d5b19 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Ad- vances and challenges in meta-learning: A technical review
Reference 55
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Observation a195fb28-f823-4fbe-bde2-87a24b6c889f · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation A weighted correlation index for rankings with ties
Reference 56
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Observation 7e92935b-9bf2-40cb-80e0-5e349f9ee2f7 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation How far pre-trained models are from neural collapse on the target dataset informs their trans- ferability
Reference 57
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Observation 0b2a6b04-797d-430e-aec3-8133536f56c1 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation A survey of transfer learning.Journal of Big data, 3(1):9, 2016
Reference 58
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Observation ca6cd232-60f2-4ea8-919a-68be71745c21 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Wolpert and W.G
Reference 59
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Observation eacd2748-f91b-49bd-9b0a-bf1c29415d03 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Listwise approach to learning to rank: theory and algorithm
Reference 60
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Observation c4a2e7d5-2fea-4849-83e0-3afd0f85946f · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Sun database: Large-scale scene recognition from abbey to zoo
Reference 61
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Observation 72b44a08-e8fa-4e8c-be55-b3d735df8ac5 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation V-petl bench: A unified visual parameter- efficient transfer learning benchmark.Advances in neural information processing systems, 37:80522–80535, 2024
Reference 62
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Observation 0a2f6809-a235-4a98-a99d-01593e4ba190 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation A review on transferability estima- tion in deep transfer learning.IEEE Transactions on Artifi- cial Intelligence, 2024
Reference 63
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Observation b0b54ede-2d5e-4580-a1bc-dcc7a0dd91b5 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation How transferable are features in deep neural networks?Ad- vances in neural information processing systems, 27, 2014
Reference 64
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Observation b09faa78-1355-4161-abf5-b87c62e51d57 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Logme: Practical assessment of pre-trained models for transfer learning
Reference 65
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Observation 5cfed418-f28c-4768-8e7b-fe5e07e98307 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation A survey on negative transfer.IEEE/CAA Journal of Automat- ica Sinica, 10(2):305–329, 2022
Reference 66
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Observation b9259f15-cd01-4823-a53d-1eedde84aaaa · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Model spider: Learning to rank pre- trained models efficiently.Advances in Neural Information Processing Systems, 36:13692–13719, 2023
Reference 67
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Observation 1d270144-3f6c-4c59-b1de-6eb8065526a3 · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation A comprehensive survey on transfer learning.Proceedings of the IEEE, 109(1):43–76, 2020
Reference 68
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Observation 27a5fe39-359f-4113-b0d6-4861c70a491a · outbound
MetaRank: Task-Aware Metric Selection for Model Transferability Estimation • We provide comprehensivetextual descriptionsof all datasets and MTE metrics in Section 7.2
Reference 69
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