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Paper Citation Record · LEDGER

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation

As of 14 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2511.21007.

A citation records a reference. It does not transfer a finding from one paper to another.

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2511.21007 v2

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:12:20.076458Z

measured 69 of 69 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

69 of 69 outbound references displayed

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  • unresolved68
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  • malformed identifier1
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Outbound references

Observation 132321d2-94fd-4fa3-b524-fc9783c192d6 · outbound

This paper cites One size does not fit all in evaluating model selection scores for image clas- sification.Scientific Reports, 14(1):30239, 2024.

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

This paper cites Task2vec: Task embedding for meta-learning.

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

This paper cites an unresolved cited work.

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

This paper cites An information- theoretic approach to transferability in task transfer learning.

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

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

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

This paper cites Learning to rank using gradient descent.

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

This paper cites Learning to rank: from pairwise approach to listwise ap- proach.

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

This paper cites Xgboost: A scalable tree boosting system.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Xgboost: A scalable tree boosting system

Reference 8

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Observation 462ee059-3cea-450a-896f-d42e371272c9 · outbound

This paper cites Describing textures in the wild.

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

This paper cites Which Model to Transfer? A Survey on Transferability Estimation.

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

This paper cites Pre-trained model reusability evaluation for small-data trans- fer learning.Advances in Neural Information Processing Systems, 35:37389–37400, 2022.

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

This paper cites AutoML using Metadata Language Embeddings.

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

This paper cites The pascal visual object classes (voc) challenge.International journal of computer vision, 88(2):303–338, 2010.

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

This paper cites Comparing top k lists.SIAM Journal on discrete mathemat- ics, 17(1):134–160, 2003.

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

This paper cites Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey.

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

This paper cites Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories.

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

This paper cites Rankme: Assessing the downstream perfor- mance of pretrained self-supervised representations by their rank.

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

This paper cites Etran: Energy-based transferability estimation.

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

This paper cites KITE: A Kernel-based Improved Transferability Estimation Method.

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

This paper cites Deep residual learning for image recognition.

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

This paper cites Neural collaborative filtering.

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

This paper cites Sup- port vector learning for ordinal regression.

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

This paper cites Meta-learning in neural networks: A survey.

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

This paper cites Strategies for Pre-training Graph Neural Networks.

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

This paper cites Densely connected convolutional net- works.

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

This paper cites Cumulated gain- based evaluation of ir techniques.ACM Transactions on In- formation Systems (TOIS), 20(4):422–446, 2002.

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

This paper cites Dataset2vec: Learning dataset meta-features.Data Mining and Knowledge Discovery, 35(3):964–985, 2021.

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

This paper cites Isac–instance-specific algorithm configura- tion.

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

This paper cites Do better imagenet models transfer better? InProceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 2661–2671, 2019.

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

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Observation e9f28506-d2ed-47ff-a513-934950f34ad1 · outbound

This paper cites Collecting a large-scale dataset of fine-grained cars.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Collecting a large-scale dataset of fine-grained cars

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Observation e2cca632-8828-4c14-be01-1e732060382e · outbound

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

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Learning multiple layers of features from tiny images

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Observation afcbcd21-ab88-4d43-86ff-fe0a23fcd28f · outbound

This paper cites Ranking neural checkpoints.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Ranking neural checkpoints

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Observation 310712ae-cf7a-4a80-8647-a239b8bad916 · outbound

This paper cites Learning to rank for information re- trieval.Foundations and Trends® in Information Retrieval, 3(3):225–331, 2009.

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

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Observation 36dc4605-58f1-4fc8-8fbc-410585d85c13 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Fine-Grained Visual Classification of Aircraft

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Observation acb34b2c-6279-421b-9f42-83ca6c180d82 · outbound

This paper cites Alors: An algorithm recommender system.Artificial Intelligence, 244:291–314,.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Alors: An algorithm recommender system.Artificial Intelligence, 244:291–314,

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Observation a00c4652-2589-49dd-b056-6d0b8d7e5f62 · outbound

This paper cites Discriminative models for information retrieval.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Discriminative models for information retrieval

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Observation b409b765-cf53-42aa-9fc4-bdd585c6203b · outbound

This paper cites Leep: A new measure to evaluate transferabil- ity of learned representations.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Leep: A new measure to evaluate transferabil- ity of learned representations

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Observation 82065eb2-f925-401f-9bf4-45729d9b5d20 · outbound

This paper cites Simple algorithm portfolio for sat.Artificial Intelligence Review, 40 (4):457–465, 2013.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Simple algorithm portfolio for sat.Artificial Intelligence Review, 40 (4):457–465, 2013

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Observation e5c1c18a-2bf5-4ba6-a9aa-685ede36c442 · outbound

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

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Automated flower classification over a large number of classes

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Observation 1994f487-aad3-4b14-8dd3-c2b336084b2e · outbound

This paper cites A survey on transfer learn- ing.IEEE Transactions on knowledge and data engineering, 22(10):1345–1359, 2009.

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

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Observation cabf708c-230f-4e0e-a8a8-c71bf37d3181 · outbound

This paper cites Transferability estima- tion using bhattacharyya class separability.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Transferability estima- tion using bhattacharyya class separability

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source=pdf_text observed=2026-08-03T20:12:19.966142Z digest=sha256:6aeae50d1b0409be1072261d92c8bc259e0d78053ab4eaff0dae902dfcd5e232

Observation 1e78de46-6857-4211-81ae-161e599baf48 · outbound

This paper cites Cats and dogs.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Cats and dogs

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Observation 4ea0069f-a8d3-4b88-9a52-432123bdfc6d · outbound

This paper cites MetaOOD: Automatic Selection of OOD Detection Models.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation MetaOOD: Automatic Selection of OOD Detection Models

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Observation 653bca17-49c5-4c62-bb25-a6cb6df9f9d4 · outbound

This paper cites Automatic classifier selection for non-experts.Pattern Analysis and Applications, 17(1): 83–96, 2014.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Automatic classifier selection for non-experts.Pattern Analysis and Applications, 17(1): 83–96, 2014

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Observation c1ae390a-5aa9-4568-a065-b79e88f4035f · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

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Observation 5a7768cc-a743-4e44-a9e2-afeb5f26c611 · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Mobilenetv2: Inverted residuals and linear bottlenecks

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Observation 331c187e-bd8a-4341-91c0-9fa2de96724f · outbound

This paper cites Not all models are equal: Predicting model transferability in a self- challenging fisher space.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Not all models are equal: Predicting model transferability in a self- challenging fisher space

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Observation c5576221-1018-4ac4-b36e-292927f34b03 · outbound

This paper cites Analysis and Prediction of NLP Models Via Task Embeddings.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Analysis and Prediction of NLP Models Via Task Embeddings

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Observation 04369c59-84ba-4fec-9cab-1f49cc9bfe95 · outbound

This paper cites Going deeper with convolutions.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Going deeper with convolutions

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source=pdf_text observed=2026-08-03T20:12:19.998439Z digest=sha256:118aeff71f203999bc7f37ce265577c9af1319ea5c1352a2be5cc325591959ac

Observation 8920c940-d17a-4e80-a063-d1c0665f0680 · outbound

This paper cites Rethinking the inception archi- tecture for computer vision.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Rethinking the inception archi- tecture for computer vision

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Observation 7c98ff9c-b47d-42f6-b607-e33420917e1c · outbound

This paper cites Mnas- net: Platform-aware neural architecture search for mobile.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Mnas- net: Platform-aware neural architecture search for mobile

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source=pdf_text observed=2026-08-03T20:12:20.006256Z digest=sha256:523dc4ebcd620c62f96296c57040bbe2fea6ad5ee184283659f3329d5e09f249

Observation 9f97f35a-43f6-4273-adc4-1fe2f6502e6c · outbound

This paper cites Learning to learn: In- troduction and overview.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Learning to learn: In- troduction and overview

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Observation 7fb08907-5fd7-4e89-acac-ec33c88f678e · outbound

This paper cites Transfer- ability and hardness of supervised classification tasks.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Transfer- ability and hardness of supervised classification tasks

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Observation 6ca1ef70-ea84-41f1-8fa1-20ff22c21920 · outbound

This paper cites Meta-Learning: A Survey.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Meta-Learning: A Survey

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Observation 797ae210-70c8-428a-9ec4-b7a7384d5b19 · outbound

This paper cites Ad- vances and challenges in meta-learning: A technical review.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Ad- vances and challenges in meta-learning: A technical review

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Observation a195fb28-f823-4fbe-bde2-87a24b6c889f · outbound

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MetaRank: Task-Aware Metric Selection for Model Transferability Estimation A weighted correlation index for rankings with ties

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source=pdf_text observed=2026-08-03T20:12:20.026355Z digest=sha256:1b306d51de8feb96e1461fb6a6f58ef3a71e042413f384174afbf2a8dbedc7a1

Observation 7e92935b-9bf2-40cb-80e0-5e349f9ee2f7 · outbound

This paper cites How far pre-trained models are from neural collapse on the target dataset informs their trans- ferability.

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

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Observation 0b2a6b04-797d-430e-aec3-8133536f56c1 · outbound

This paper cites A survey of transfer learning.Journal of Big data, 3(1):9, 2016.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation A survey of transfer learning.Journal of Big data, 3(1):9, 2016

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Observation ca6cd232-60f2-4ea8-919a-68be71745c21 · outbound

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MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Wolpert and W.G

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source=pdf_text observed=2026-08-03T20:12:20.038090Z digest=sha256:a3d473e10c9c5770d4c6195f9c8b92b861443a2f343b60bea89cb531be4b9c71

Observation eacd2748-f91b-49bd-9b0a-bf1c29415d03 · outbound

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MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Listwise approach to learning to rank: theory and algorithm

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source=pdf_text observed=2026-08-03T20:12:20.041986Z digest=sha256:0a812d6ed6b80e11b8a0657f6c2a161b78a9383ae0c65869f4c5080b45da8df3

Observation c4a2e7d5-2fea-4849-83e0-3afd0f85946f · outbound

This paper cites Sun database: Large-scale scene recognition from abbey to zoo.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Sun database: Large-scale scene recognition from abbey to zoo

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Observation 72b44a08-e8fa-4e8c-be55-b3d735df8ac5 · outbound

This paper cites V-petl bench: A unified visual parameter- efficient transfer learning benchmark.Advances in neural information processing systems, 37:80522–80535, 2024.

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

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Observation 0a2f6809-a235-4a98-a99d-01593e4ba190 · outbound

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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

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Observation b0b54ede-2d5e-4580-a1bc-dcc7a0dd91b5 · outbound

This paper cites How transferable are features in deep neural networks?Ad- vances in neural information processing systems, 27, 2014.

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

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Observation b09faa78-1355-4161-abf5-b87c62e51d57 · outbound

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MetaRank: Task-Aware Metric Selection for Model Transferability Estimation Logme: Practical assessment of pre-trained models for transfer learning

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Observation 5cfed418-f28c-4768-8e7b-fe5e07e98307 · outbound

This paper cites A survey on negative transfer.IEEE/CAA Journal of Automat- ica Sinica, 10(2):305–329, 2022.

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

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source=pdf_text observed=2026-08-03T20:12:20.065394Z digest=sha256:a6db52b25fff5bf3319cd75acf03317e90498a3b07d6a648fde61db059c987d1

Observation b9259f15-cd01-4823-a53d-1eedde84aaaa · outbound

This paper cites Model spider: Learning to rank pre- trained models efficiently.Advances in Neural Information Processing Systems, 36:13692–13719, 2023.

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

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source=pdf_text observed=2026-08-03T20:12:20.069029Z digest=sha256:fbad61bcbb5765992dc4556a0a7d2b2a1bd94d72a3bd03238fba5e7c69d70307

Observation 1d270144-3f6c-4c59-b1de-6eb8065526a3 · outbound

This paper cites A comprehensive survey on transfer learning.Proceedings of the IEEE, 109(1):43–76, 2020.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation A comprehensive survey on transfer learning.Proceedings of the IEEE, 109(1):43–76, 2020

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Observation 27a5fe39-359f-4113-b0d6-4861c70a491a · outbound

This paper cites • We provide comprehensivetextual descriptionsof all datasets and MTE metrics in Section 7.2.

MetaRank: Task-Aware Metric Selection for Model Transferability Estimation • We provide comprehensivetextual descriptionsof all datasets and MTE metrics in Section 7.2

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