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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

Choose Your Transformer: Improved Transferability Estimation of Transformer Models on Classification Tasks ACL 2024
U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making AAAI 2024
Label-Efficient Model Selection for Text Generation ACL 2024
Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning NIPS 2024
Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition JMLR 2024
Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing AAAI 2024
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data NIPS 2024
Differentially private methods for managing model uncertainty in linear regression JMLR 2024
LEAD: Exploring Logit Space Evolution for Model Selection CVPR 2024
Enhancing the Power of OOD Detection via Sample-Aware Model Selection CVPR 2024
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards ACL 2024
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent AISTATS 2024
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NIPS 2024
Self-Compatibility: Evaluating Causal Discovery without Ground Truth AISTATS 2024
Choosing the Number of Topics in LDA Models – A Monte Carlo Comparison of Selection Criteria JMLR 2024
Towards Unsupervised Model Selection for Domain Adaptive Object Detection NIPS 2024
UQ-Guided Hyperparameter Optimization for Iterative Learners NIPS 2024
RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models NIPS 2024
Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation AAAI 2024
Understanding Model Selection for Learning in Strategic Environments NIPS 2024
Sparsity-Agnostic Linear Bandits with Adaptive Adversaries NIPS 2024
On the Necessity of Collaboration for Online Model Selection with Decentralized Data NIPS 2024
On the Computational Complexity of Private High-dimensional Model Selection NIPS 2024
Data-Driven Online Model Selection With Regret Guarantees AISTATS 2024
Scaling Laws in Linear Regression: Compute, Parameters, and Data NIPS 2024