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

Comprehensive Algorithm Portfolio Evaluation using Item Response Theory JMLR 2023

Revisiting minimum description length complexity in overparameterized models JMLR 2023

Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework NIPS 2023

Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models EMNLP 2023

Automatic Model Selection with Large Language Models for Reasoning EMNLP 2023

A Path to Simpler Models Starts With Noise NIPS 2023

ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets NIPS 2023

Model Spider: Learning to Rank Pre-Trained Models Efficiently NIPS 2023

Synthetic data for model selection ICML 2023

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face NIPS 2023

Towards Optimal Caching and Model Selection for Large Model Inference NIPS 2023

Towards Inference Efficient Deep Ensemble Learning AAAI 2023

Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models EMNLP 2023

Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP EACL 2023

Model Selection of Graph Signage Models Using Maximum Likelihood (Student Abstract) AAAI 2023

Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering ACL 2023

How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey EMNLP 2023

Differentiable Model Selection for Ensemble Learning IJCAI 2023

Foundation Model is Efficient Multimodal Multitask Model Selector NIPS 2023

Limits of Model Selection under Transfer Learning COLT 2023

Knowledge is a Region in Weight Space for Fine-tuned Language Models EMNLP 2023

AutoKeras: An AutoML Library for Deep Learning JMLR 2023

Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing NIPS 2023

Guided Recommendation for Model Fine-Tuning CVPR 2023

Experiment Planning with Function Approximation NIPS 2023