hyperparameter optimization

405 papers

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Also known as

CASH OPTUNA BO HO HPO

Co-occurring keywords

bayesian optimization (623) neural architecture search (665) gaussian process (1198) automated machine learning (94) model selection (454) surrogate model (181) hyperparameter tuning (213) transfer learning (5442) bilevel optimization (193) neural network optimization (1293)

Papers

Scaling and Transferability of Annealing Strategies in Large Language Model Training AAAI 2026

PSEO: Optimizing Post-hoc Stacking Ensemble Through Hyperparameter Tuning AAAI 2026

AEGIS: Toward Expert-in-the-loop Industrial Anomaly Detection AAAI 2026

AutoTuneX: Interactive Automated Fine-Tuning for Large Language Models AAAI 2026

Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series AAAI 2026

Beyond Grid Search: Leveraging Bayesian Optimization for Accelerating RAG Pipeline Optimization EACL 2026

HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization AAAI 2026

PT-DCFR: Accelerating and Improving Deep CFR Using Population Based Training (Student Abstract) AAAI 2026

Next Generation of Empirical Performance Prediction AAAI 2026

OrcheCause Agent: From Textual Knowledge to End-to-End Causal Inference AAAI 2026

LAMDA: Two-Phase HPO via Learning Prior from Low-Fidelity Data AAAI 2026

Flexora: Flexible Low-Rank Adaptation for Large Language Models ACL 2025

DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation IJCAI 2025

Exploiting Edited Large Language Models as General Scientific Optimizers NAACL 2025

AutoIntent: AutoML for Text Classification EMNLP 2025

o-MEGA: Optimized Methods for Explanation Generation and Analysis EMNLP 2025

AutoProteinEngine: A Large Language Model Driven Agent Framework for Multimodal AutoML in Protein Engineering COLING 2025

Multimodal Large Language Model-Guided ISP Hyperparameter Optimization with Dynamic Preference Learning ICCV 2025

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods AAAI 2025

Exploring smaller batch sizes for a high-performing BabyLM model architecture EMNLP 2025

Modeling All Response Surfaces in One for Conditional Search Spaces AAAI 2025

QiMP at SemEval-2025 Task 11: Optimizing Text-based Emotion Classification in English Beyond Traditional Methods ACL 2025

XAutoLM: Efficient Fine-Tuning of Language Models via Meta-Learning and AutoML EMNLP 2025

EcoTune: Token-Efficient Multi-Fidelity Hyperparameter Optimization for Large Language Model Inference EMNLP 2025

AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks AAAI 2025