Co-occurring keywords · papers mentioning both
Papers
Bridging Domain Expertise and Generalization for Performance Estimation
CVPR 2026
Phantora: Maximizing Code Reuse in Simulation-based Machine Learning System Performance Estimation
NSDI 2026
Automated Model Evaluation for Object Detection via Prediction Consistency and Reliability
ICCV 2025
ODD: Overlap-aware Estimation of Model Performance under Distribution Shift
UAI 2025
Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent
AISTATS 2025
When Instructions Multiply: Measuring and Estimating LLM Capabilities of Multiple Instructions Following
EMNLP 2025
Efficient multi-prompt evaluation of LLMs
NeurIPS 2024
AutoGT: Automated Graph Transformer Architecture Search
ICLR 2023
GENNAPE: Towards Generalized Neural Architecture Performance Estimators
AAAI 2023
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels
NeurIPS 2023
Scalable Tail Latency Estimation for Data Center Networks
NSDI 2023
We Need to Talk About Reproducibility in NLP Model Comparison
EMNLP 2023
Estimating and Explaining Model Performance When Both Covariates and Labels Shift
NeurIPS 2022
MLDemon:Deployment Monitoring for Machine Learning Systems
AISTATS 2022
Contrastive Neural Architecture Search With Neural Architecture Comparators
CVPR 2021
Predicting With Confidence on Unseen Distributions
ICCV 2021
Speedy Performance Estimation for Neural Architecture Search
NeurIPS 2021
On Performance Estimation in Automatic Algorithm Configuration
AAAI 2020
Rethinking Performance Estimation in Neural Architecture Search
CVPR 2020
Neural Architecture Search: A Survey
JMLR 2019
Using J-K-fold Cross Validation To Reduce Variance When Tuning NLP Models
COLING 2018
Word Error Rate Estimation for Speech Recognition: e-WER
ACL 2018
A Lazy Man's Approach to Benchmarking: Semisupervised Classifier Evaluation and Recalibration
CVPR 2013