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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

Gone Fishing: Neural Active Learning with Fisher Embeddings NIPS 2021
Scalable Diverse Model Selection for Accessible Transfer Learning NIPS 2021
Joint Inference for Neural Network Depth and Dropout Regularization NIPS 2021
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels AAAI 2021
AutoText: An End-to-End AutoAI Framework for Text AAAI 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
Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis NIPS 2021
Model Selection for Bayesian Autoencoders NIPS 2021
Sequential prediction under log-loss and misspecification COLT 2021
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings MLHC 2021
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning ACL 2021
Approximate Cross-Validation for Structured Models NIPS 2020
Approximate Cross-validation: Guarantees for Model Assessment and Selection AISTATS 2020
Finding the Homology of Decision Boundaries with Active Learning NIPS 2020
Interpretable Models for Understanding Immersive Simulations IJCAI 2020
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems AAAI 2020
Sparse Learning with CART NIPS 2020
Weighted Sampling for Combined Model Selection and Hyperparameter Tuning AAAI 2020
Dataless Model Selection With the Deep Frame Potential CVPR 2020
Model Selection for Production System via Automated Online Experiments NIPS 2020
Small Data, Big Decisions: Model Selection in the Small-Data Regime ICML 2020
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs ICML 2020
Optimizing Millions of Hyperparameters by Implicit Differentiation AISTATS 2020
Predictive Multiplicity in Classification ICML 2020