Task Transferability Estimation

Overview

Task transferability estimation asks whether knowledge from a source model, dataset, task, or skill will improve performance on a target, helping choose what to reuse before expensive training or deployment. Methods compare frozen representations using embedding distances, CKA, or topological features; measure gradient or Fisher alignment; or learn rankers from task metadata and small transfer probes. Applications span vision and medical segmentation, cross-lingual NLP, and reinforcement learning, where estimates can route among models or skills, compose prior policies, or gate transfer against target-only baselines. Results show useful predictive signals, but rankings can change with target samples, metrics, architecture, and task type, while similarity may miss negative or directional transfer; reliable calibration and validation remain open challenges.

Latest papers

CardsList

38 papers11 papers in the last four weeks, up 83% on the four weeks before. 0.1% of all new papers.

  1. DISC: Domain-Integrated Similarity Cost for Time-Series Dataset

    Oct 22, 2026Yen-Ku Liu, Hongjie Chen, Franck Dernoncourt +1Task Transferability EstimationCross-Dataset Generalization

  2. Which Differences Matter? Controlled Tests of Rule Transfer, Joint Reliability, and Information Use in Decision Models

    Oct 21, 2026Tianyou Lai, Wentao Yue, Zhiwei Zuo +1Rule-Based ClassificationTask Transferability Estimation

  3. Learning When to Transfer: Reinforcement Learning for Carbon-Footprint Modeling in New Manufacturing Domains

    Oct 13, 2026Muhammad Umar Farooq, Daniel R. CooperTransfer LearningCross-Domain Transfer Learning

  4. Benchmarking Self-Supervised 3D Medical Vision Foundation Models and Transferability Estimation

    Oct 13, 2026Jiaqi Tang, Yu Wang, Yang Liu +7Medical Imaging Foundation ModelsMedical Image Benchmarks

  5. EvoCowork: A Benchmark for Real-World Office Tasks

    Oct 10, 2026Zhou Liu, Xingyan Chen, ZhaoYang Han +6Computer-Use Agent BenchmarksAI Agent Benchmarks

  6. Edge Accuracy Is Not Enough: Why Dynamics-Learned Structure Fails to Transfer to Inverse Problems

    Oct 7, 2026Nicholas Tan Jerome, Fangnian WangInverse ProblemsGraph Structure Learning

  7. How to Find and Reuse Policies for Continuous Adaptation in Lifelong Reinforcement Learning

    Oct 2, 2026Saptarshi Nath, Inish M. D'Souza, Antonio Carta +2Continual RLLifelong Learning Agents

  8. Zero-Compute Cross-Lingual Transferability Estimation Using Typological Feature Proxies

    Sep 30, 2026Dalton Raphael Harmsen, Swier Garst, Thomas van Osch +2Task Transferability EstimationLinguistic Typology

  9. AssayRouter: Historical Utility Priors for Frozen Molecular Predictor Routing

    Sep 29, 2026Dong Xu, Zhangfan Yang, Jiantao Wu +5Adaptive Model RoutingTask Transferability Estimation

  10. Language Distances are Practical for Equitable Cross-Lingual Transfer

    Sep 26, 2026York Hay Ng, Razan Ahsan Rifandi, Aditya Khan +1Cross-Lingual TransferLow-Resource Language Processing

  11. When Does a Skill Add Value? Task-Conditional Gain Prediction for Selective Skill Use

    Sep 26, 2026Anjie Xu, Zhiyu Zhang, Ruiqing Ding +2Task Transferability EstimationConditional Average Treatment Effect Estimation

  12. From Regional to Global: Transfer Learning for Atmospheric Transport Emulators

    Sep 20, 2026Jeff Clark, Elena Fillola, Nawid Keshtmand +2Surrogate ModelingTask Transferability Estimation

  13. Structuring occupational accident narratives for cross-sector safety analysis: Transferability of accident-process role classification

    Sep 18, 2026Aho Yapi, Pierre Latouche, Arnaud Guillin +1Document Information ExtractionTask Transferability Estimation

  14. EconSkills: Studying Skill Transfer and Retrieval for Web Agents on Live Economic Data

    Sep 17, 2026Yinzhu Quan, Zefang LiuTask Transferability EstimationLLM Agent Skill Learning

  15. BrainTaskonomy: Learning How to Pretrain and What to Transfer in fMRI Foundation Models

    Sep 9, 2026Junfeng Xia, Wenhao Ye, Junxiang Zhang +3Medical Imaging Foundation ModelsfMRI Foundation Models

  16. Quantifying geographic domain shift to decouple the geospatial transferability of human mobility flow generation models

    Aug 21, 2026Zhiyong Zhou, Song Gao, Qianheng Zhang +2Spatial GeneralizationTask Transferability Estimation

  17. A Shared Encoder Is Not a Shared Task: Conditional Comparison for Deep Expert Pools

    Aug 21, 2026Kentaro OdaTask Transferability EstimationMixture-of-Experts Models

  18. When do machine-learned exchange-correlation improvements inherit into density-functional tight binding?

    Aug 14, 2026Can Polat, Mustafa Kurban, Erchin Serpedin +1Density Functional TheoryComputational Materials Science

  19. Robustness of transferability estimation metrics for medical imaging

    Aug 7, 2026Niclas Claßen, Théo Sourget, Dovile Juodelyte +2Medical Image AnalysisTask Transferability Estimation

  20. Domain Shift in Echocardiography: Interpretable Quantification and Prediction of Cross-Dataset Left Ventricular Segmentation

    Jul 22, 2026Soroush Elyasi, Nasim Dadashi Serej, Julie Wall +1Ultrasound Image SegmentationDistribution Shift

  21. Topology-Driven Transferability Estimation for 3D Medical Vision Foundation Models

    Jul 5, 2026Jiaqi Tang, Shaoyang Zhang, Fandong Zhang +3Medical Imaging Foundation Models3D Medical Imaging

  22. Unveiling Transferability in Trajectory Prediction via Latent Scene Embeddings

    Jun 29, 2026Theodor Westny, David Axelsson, Björn Olofsson +1Representational Similarity AnalysisMulti-Agent Trajectory Prediction

  23. Beyond Single-Source Cognitive Taskonomy:Multi-Source Task Relations through fMRI Transfer Learning

    Jun 24, 2026Junfeng Xia, Wendu Li, Mengjiao Zhang +1Task Transferability EstimationCross-Domain Transfer Learning

  24. Learning Transfers: Kan Extensions of Topological Invariants of Learned Representations

    May 30, 2026Luciano MelodiaNeural Representation GeometryTask Transferability Estimation

  25. LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability

    May 22, 2026Sadjad Alikhani, Akshay Malhotra, Shahab Hamidi-Rad +1Contrastive LearningRepresentational Similarity Analysis