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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

Online Active Model Selection for Pre-trained Classifiers AISTATS 2021
We Need to Talk About train-dev-test Splits EMNLP 2021
An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models ACL 2021
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics CVPR 2021
Tighter Risk Certificates for Neural Networks JMLR 2021
Gone Fishing: Neural Active Learning with Fisher Embeddings NIPS 2021
The Pareto Frontier of model selection for general Contextual Bandits NIPS 2021
Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis NIPS 2021
Predicting Deep Neural Network Generalization with Perturbation Response Curves NIPS 2021
Asymptotics of the Bootstrap via Stability with Applications to Inference with Model Selection NIPS 2021
AutoText: An End-to-End AutoAI Framework for Text AAAI 2021
True Few-Shot Learning with Language Models NIPS 2021
Model Selection for Bayesian Autoencoders NIPS 2021
Offline detection of change-points in the mean for stationary graph signals. AISTATS 2021
How Linguistically Fair Are Multilingual Pre-Trained Language Models? AAAI 2021
Characterizing Fairness Over the Set of Good Models Under Selective Labels ICML 2021
Model Selection for Cross-lingual Transfer EMNLP 2021
Automatic Unsupervised Outlier Model Selection NIPS 2021
Unsupervised Multi-Source Domain Adaptation Without Access to Source Data CVPR 2021
Scalable Diverse Model Selection for Accessible Transfer Learning NIPS 2021
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels AAAI 2021
Online Model Selection for Reinforcement Learning with Function Approximation AISTATS 2021
Learning Curves for Analysis of Deep Networks ICML 2021
LogME: Practical Assessment of Pre-trained Models for Transfer Learning ICML 2021
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models JMLR 2021