Co-occurring keywords · papers mentioning both
Papers
Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression
NeurIPS 2021
ChaCha for Online AutoML
ICML 2021
Composite Adversarial Attacks
AAAI 2021
Convergence Properties of Stochastic Hypergradients
AISTATS 2021
cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSE
EMNLP 2021
Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach
ICLR 2021
DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization
IJCAI 2021
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers
ICML 2021
Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing
EMNLP 2021
Dual Active Learning for Both Model and Data Selection
IJCAI 2021
DuluthNLP at SemEval-2021 Task 7: Fine-Tuning RoBERTa Model for Humor Detection and Offense Rating
SemEval 2021
ECONOMIC HYPERPARAMETER OPTIMIZATION WITH BLENDED SEARCH STRATEGY
ICLR 2021
Effective Meta-Regularization by Kernelized Proximal Regularization
NeurIPS 2021
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization
NeurIPS 2021
Expected Validation Performance and Estimation of a Random Variable’s Maximum
EMNLP 2021
Explaining Hyperparameter Optimization via Partial Dependence Plots
NeurIPS 2021
FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining
CVPR 2021
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing
NeurIPS 2021
Few-Shot Bayesian Optimization with Deep Kernel Surrogates
ICLR 2021
Frugal Optimization for Cost-related Hyperparameters
AAAI 2021
Generalization Guarantees for Neural Architecture Search with Train-Validation Split
ICML 2021
Gradient-based Hyperparameter Optimization Over Long Horizons
NeurIPS 2021
Hyperparameter Optimization via Sequential Uniform Designs
JMLR 2021
Hyperparameter Power Impact in Transformer Language Model Training
EMNLP 2021
Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization
AAAI 2021