This repo is still in progress.

• Learning to Select Pre-trained Deep Representations with Bayesian Evidence Framework [CVPR]

• Transferability and Hardness of Supervised Classification Tasks [ICCV]
• An information theoretic approach to transferability in task transfer learning [ICIP] [Codes]
• TASK2VEC: Task Embedding for Meta-Learning [ICCV]

• LEEP: A New Measure to Evaluate Transferability of Learned Representations [ICML] [Slides] [PyTorch]
• Source Model Selection for Deep Learning in the Time Series Domain [IEEE Access]
• Ranking and rejecting of pre-trained deep neural networks in transfer learning based on separation index [ArXiv]

• Ranking Neural Checkpoints [CVPR]
• LogME: Practical Assessment of Pre-trained Models for Transfer Learning [ICML] [PyTorch]
• Scalable Diverse Model Selection for Accessible Transfer Learning [NeurIPS] [PyTorch]
• A linearized framework and a new benchmark for model selection for fine-tuning [ArXiv]

• Newer is not always better: Rethinking transferability metrics, their peculiarities, stability and performance [ECML PKDD]
• Frustratingly Easy Transferability Estimation [ICML] [Slides]
• Transferability Estimation Using Bhattacharyya Class Separability [CVPR]
• Transferability Metrics for Selecting Source Model Ensembles [CVPR]
• How stable are Transferability Metrics evaluations? [ECCV] [TensorFlow]
• Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning [NeurIPS] [Codes]
• Pitfalls in Measuring Neural Transferability [NeurIPSW]
• Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs [JMLR]
• PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks [ECCV] [Codes]
• Evidence > Intuition: Transferability Estimation for Encoder Selection [EMNLP]
• Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space [ECCV]
• Efficient Semantic Segmentation Backbone Evaluation for Unmanned Surface Vehicles based on Likelihood Distribution Estimation [MSN]
• Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning [NeurIPS]

• Model Spider: Learning to Rank Pre-Trained Models Efficiently [Arxiv]
• Towards Estimating Transferability using Hard Subsets [ArXiv]
• Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation [MICCAI]
• Transferability Metrics for Object Detection [ArXiv]
• Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance[ArXiv]
• ETran: Energy-Based Transferability Estimation [ICCV]
• How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability [ICCV]
• Exploring Model Transferability through the Lens of Potential Energy[ICCV]
• Unleashing the power of Neural Collapse for Transferability Estimation [ArXiv]
• Foundation Model is Efficient Multimodal Multitask Model Selector [ArXiv]
• Towards Robust Multi-Modal Reasoning via Model Selection [ArXiv]
• Graph-based fine-grained model selection for multi-source domain [PAA]
• Guided Recommendation for Model Fine-Tuning [CVPR]
• Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How [ArXiv]
• Estimating the Transfer Learning Ability of a Deep Neural Networks by Means of Representations [NCMLCR]
• Efficient Prediction of Model Transferability in Semantic Segmentation Tasks [ICIP]
• The Performance of Transferability Metrics Does Not Translate to Medical Tasks [MICCAI workshop]
• How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey [ArXiv]
• Guided recommendation for model fine-tuning [CVPR]

• Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning [CVPR]
• Model reuse with reduced kernel mean embedding specification [ArXiv]

• Duality diagram similarity: a generic framework for initialization selection in task transfer learning [ECCV]

• A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning NeurIPS
• Transferability Estimation for Semantic Segmentation Task [ArXiv]
• OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations [CVPR] [Poster]
• Practical Transferability Estimation for Image Classification Tasks [ArXiv]

• Transferability-Guided Cross-Domain Cross-Task Transfer Learning [ArXiv]
• Transferability Estimation Based On Principal Gradient Expectation [ArXiv]

• Identifying Useful Learnwares for Heterogeneous Label Spaces ICML
• Simple Transferability Estimation for Regression Tasks [UAI]
• Analysis of Task Transferability in Large Pre-trained Classifiers
• To transfer or not transfer: Unified transferability metric and analysis [ArXiv]
• Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach [ICCV]
• How to Estimate Model Transferability of Pre-Trained Speech Models? [Interspeech]