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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

Towards Better Open-Ended Text Generation: A Multicriteria Evaluation Framework ACL 2025
Bridge the Modality and Capability Gaps in Vision-Language Model Selection NIPS 2024
Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation NIPS 2024
Data Summarization via Bilevel Optimization JMLR 2024
AMLB: an AutoML Benchmark JMLR 2024
Causal Q-Aggregation for CATE Model Selection AISTATS 2024
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking EMNLP 2024
Graph fission and cross-validation AISTATS 2024
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective AISTATS 2024
On Leakage of Code Generation Evaluation Datasets EMNLP 2024
Approximate Leave-one-out Cross Validation for Regression with $\ell_1$ Regularizers AISTATS 2024
Data Thinning for Convolution-Closed Distributions JMLR 2024
Data-Driven Online Model Selection With Regret Guarantees AISTATS 2024
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models EMNLP 2024
Characterizing Text Datasets with Psycholinguistic Features EMNLP 2024
LEAD: Exploring Logit Space Evolution for Model Selection CVPR 2024
Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search AAAI 2024
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent AISTATS 2024
Towards Making Learnware Specification and Market Evolvable AAAI 2024
Self-Compatibility: Evaluating Causal Discovery without Ground Truth AISTATS 2024
Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting AAAI 2024
Post-Hoc Reversal: Are We Selecting Models Prematurely? NIPS 2024
CLEAN–EVAL: Clean Evaluation on Contaminated Large Language Models NAACL 2024
On the Necessity of Collaboration for Online Model Selection with Decentralized Data NIPS 2024
Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation AAAI 2024