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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

Approximate Leave-one-out Cross Validation for Regression with $\ell_1$ Regularizers AISTATS 2024
Post-Hoc Reversal: Are We Selecting Models Prematurely? NIPS 2024
Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making ICML 2023
Model Spider: Learning to Rank Pre-Trained Models Efficiently NIPS 2023
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face NIPS 2023
Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models EMNLP 2023
Iterative Approximate Cross-Validation ICML 2023
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes ICML 2023
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation ICML 2023
Automatic Model Selection with Large Language Models for Reasoning EMNLP 2023
Experiment Planning with Function Approximation NIPS 2023
Exploring and Interacting with the Set of Good Sparse Generalized Additive Models NIPS 2023
Towards Optimal Caching and Model Selection for Large Model Inference NIPS 2023
Revisiting Bellman Errors for Offline Model Selection ICML 2023
Where to start? Analyzing the potential value of intermediate models EMNLP 2023
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks NIPS 2023
Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering ACL 2023
The OPUS-MT Dashboard – A Toolkit for a Systematic Evaluation of Open Machine Translation Models ACL 2023
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference AISTATS 2023
Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models EMNLP 2023
On Model Selection Consistency of Lasso for High-Dimensional Ising Models AISTATS 2023
AutoKeras: An AutoML Library for Deep Learning JMLR 2023
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection NIPS 2023
Foundation Model is Efficient Multimodal Multitask Model Selector NIPS 2023
The Lauritzen-Chen Likelihood For Graphical Models AISTATS 2023