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model selection

454 papers

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Also known as

FMS

Co-occurring keywords

transfer learning (5442) bayesian inference (1904) hyperparameter optimization (405) large language model (12755) kernel methods (1096) regret bound (1918) online learning (1770) support vector machine (976) feature selection (649) benchmark evaluation (1539)

Papers

Foundation Model is Efficient Multimodal Multitask Model Selector NIPS 2023
Embarrassingly Simple Performance Prediction for Abductive Natural Language Inference NAACL 2022
Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments EMNLP 2022
Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport NIPS 2022
Universal and data-adaptive algorithms for model selection in linear contextual bandits ICML 2022
Feature and Parameter Selection in Stochastic Linear Bandits ICML 2022
Bayesian Model Selection, the Marginal Likelihood, and Generalization ICML 2022
Propagation Regularizer for Semi-Supervised Learning With Extremely Scarce Labeled Samples CVPR 2022
Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems NIPS 2022
Parameter tuning and model selection in Optimal Transport with semi-dual Brenier formulation NIPS 2022
AaltoNLP at SemEval-2022 Task 11: Ensembling Task-adaptive Pretrained Transformers for Multilingual Complex NER NAACL 2022
Which Model To Transfer? Finding the Needle in the Growing Haystack CVPR 2022
Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs JMLR 2022
Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift NIPS 2022
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning ACL 2022
Pareto Optimal Model Selection in Linear Bandits AISTATS 2022
Best of Both Worlds Model Selection NIPS 2022
Near Instance Optimal Model Selection for Pure Exploration Linear Bandits AISTATS 2022
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution NIPS 2022
A Statistical Approach for Optimal Topic Model Identification JMLR 2022
Pass off Fish Eyes for Pearls: Attacking Model Selection of Pre-trained Models ACL 2022
Model Averaging Is Asymptotically Better Than Model Selection For Prediction JMLR 2022
AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control NIPS 2022
Adversarial Branch Architecture Search for Unsupervised Domain Adaptation WACV 2022
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression AISTATS 2022