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Holdout Set
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
The DCR Delusion: Measuring the Privacy Risk of Synthetic Data
Parametric Scaling Law of Tuning Bias in Conformal Prediction
Navigating Towards Fairness with Data Selection
Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration
Benchmark Inflation: Revealing LLM Performance Gaps Using Retro-Holdouts
STAND: Data-Efficient and Self-Aware Precondition Induction for Interactive Task Learning
Machine Learning for Quantifier Selection in cvc5
Understanding Transformers via N-gram Statistics
The Benefits and Risks of Transductive Approaches for AI Fairness
TotalVibeSegmentator: Full Body MRI Segmentation for the NAKO and UK Biobank
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network
Testing for Overfitting
xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery
Holdouts set for safe predictive model updating
Persistent Homology Captures the Generalization of Neural Networks Without A Validation Set
RATT: Leveraging Unlabeled Data to Guarantee Generalization
Morphological Change Forecasting for Prostate Glands using Feature-based Registration and Kernel Density Extrapolation
Distribution-Free, Risk-Controlling Prediction Sets
Application of Deep Neural Networks to assess corporate Credit Rating
Who Wins the Game of Thrones? How Sentiments Improve the Prediction of Candidate Choice
Adaptive Statistical Learning with Bayesian Differential Privacy
Generalization of Reinforcement Learners with Working and Episodic Memory
Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation
Template-Based Automatic Search of Compact Semantic Segmentation Architectures
Predicting Individual Responses to Vasoactive Medications in Children with Septic Shock
The Generic Holdout: Preventing False-Discoveries in Adaptive Data Science
A shared latent space matrix factorisation method for recommending new trial evidence for systematic review updates
Using Poisson Binomial GLMs to Reveal Voter Preferences
Malaria Likelihood Prediction By Effectively Surveying Households Using Deep Reinforcement Learning
Challenges in Bayesian Adaptive Data Analysis
Generalization in Adaptive Data Analysis and Holdout Reuse
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.