overfitting detection

Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon EMNLP 2025 A Careful Examination of Large Language Model Performance on Grade School Arithmetic NeurIPS 2024 Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions UAI 2024 Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting ICLR 2023 Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples NeurIPS 2023 Hint-Aug: Drawing Hints From Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning CVPR 2023 Membership Inference Attacks against Synthetic Data through Overfitting Detection AISTATS 2023 Not So Fast, Classifier – Accuracy and Entropy Reduction in Incremental Intent Classification EMNLP 2021 A Three Sample Hypothesis Test for Evaluating Generative Models AISTATS 2020 Circuit-Based Intrinsic Methods to Detect Overfitting ICML 2020 VECA: A Method for Detecting Overfitting in Neural Networks (Student Abstract) AAAI 2020 Detecting Overfitting of Deep Generative Networks via Latent Recovery CVPR 2019 Detecting Overfitting via Adversarial Examples NeurIPS 2019 Detecting non-causal artifacts in multivariate linear regression models ICML 2018