CORE-STACK+: Meta-Learning for Deep Stacked Generalization
cs.LG, cs.CV
Submitted: 2026-09-22
Updated: 2026-09-22
Terminology
Sources
- Repulsive Deep Ensembles are Bayesian
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
- AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
- Deep Ensembles: A Loss Landscape Perspective
- Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
- On Calibration of Modern Neural Networks
- Mask R-CNN
- Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
- Natural Adversarial Examples
- Snapshot Ensembles: Train 1, get M for free
- Averaging Weights Leads to Wider Optima and Better Generalization
- Similarity of Neural Network Representations Revisited
- Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
- Microsoft COCO: Common Objects in Context
- Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
- A ConvNet for the 2020s
- A Simple Baseline for Bayesian Uncertainty in Deep Learning
- Learning under Model Misspecification: Applications to Variational and Ensemble methods
- Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
- A Note on the PAC Bayesian Theorem
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