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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

NAS-Bench-x11 and the Power of Learning Curves NIPS 2021
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings JMLR 2021
An Empirical Study of Bayesian Optimization: Acquisition Versus Partition JMLR 2021
An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models IJCNLP 2021
OCTIS: Comparing and Optimizing Topic models is Simple! EACL 2021
Bayesian optimization for modular black-box systems with switching costs UAI 2021
Learning Data Augmentation With Online Bilevel Optimization for Image Classification WACV 2021
DuluthNLP at SemEval-2021 Task 7: Fine-Tuning RoBERTa Model for Humor Detection and Offense Rating ACL 2021
A Nonmyopic Approach to Cost-Constrained Bayesian Optimization UAI 2021
NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters ACML 2021
Stronger NAS with Weaker Predictors NIPS 2021
Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer CVPR 2020
Optimizing Millions of Hyperparameters by Implicit Differentiation AISTATS 2020
Marthe: Scheduling the Learning Rate Via Online Hypergradients IJCAI 2020
The ADAPT Centre’s Participation in WAT 2020 English-to-Odia Translation Task AACL 2020
Learning Intrinsic Rewards as a Bi-Level Optimization Problem UAI 2020
Batch Reinforcement Learning with Hyperparameter Gradients ICML 2020
On the Iteration Complexity of Hypergradient Computation ICML 2020
Population-Based Black-Box Optimization for Biological Sequence Design ICML 2020
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates AAAI 2020
Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract) AAAI 2020
Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework AAAI 2020
HyperSTAR: Task-Aware Hyperparameters for Deep Networks CVPR 2020
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning ACML 2020
Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout AISTATS 2020