ABO-Med: Accelerated Bilevel Optimization for Few-Shot Medical Image Classification

arXiv:2609.33176 · cs.CV · Submitted 2026-09-27 · Read on arXiv

cs.CV

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Meta-learning — 28× in this paper · explained in 2 episodes
• Data Augmentation — 20× in this paper · explained in 7 episodes
• Adaptation — 17× in this paper · explained in 1 episode
• Ablation — 15× in this paper · explained in 1 episode
• Accuracy — 13× in this paper · explained in 1 episode
• Few-Shot Learning — 11× in this paper · explained in 4 episodes
• Generalization — 9× in this paper · explained in 13 episodes
• Ablation study — 8× in this paper · explained in 1 episode
• Robustness — 8× in this paper · explained in 5 episodes
• Model-Agnostic — 6× in this paper · explained in 2 episodes
• Model-Agnostic Meta-Learning — 4× in this paper
• Regularization — 4× in this paper · explained in 3 episodes
• Ablation Studies — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Domain Shift — 3× in this paper · explained in 4 episodes
• Accelerated Gradient Descent — 2× in this paper
• Adam — 2× in this paper · explained in 2 episodes
• Distribution Shift — 2× in this paper · explained in 6 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Almost No Inner Loop — 1× in this paper
• Approximate Implicit Differentiation — 1× in this paper · explained in 1 episode
• Convergence Guarantees — 1× in this paper · explained in 3 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes

Sources

• Reinforcing Medical Image Classifier to Improve Generalization on Small Datasets
• How to train your MAML
• Amortized Implicit Differentiation for Stochastic Bilevel Optimization
• A New First-Order Meta-Learning Algorithm with Convergence Guarantees
• Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
• Improved Regularization of Convolutional Neural Networks with Cutout
• qNBO: quasi-Newton Meets Bilevel Optimization
• Approximation Methods for Bilevel Programming
• BiAdam: Fast Adaptive Bilevel Optimization Methods
• Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
• On First-Order Meta-Learning Algorithms
• Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
• FragFuse: Bypassing Access Control of Large Language Model Agents via Memory-Based Query Fragmentation and Fusion
• Matching Networks for One Shot Learning
• Accelerating Inexact HyperGradient Descent for Bilevel Optimization
• Second-Order Bilevel Optimization with Accelerated Convergence Rates
• Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis
• Problem-Parameter-Free Decentralized Bilevel Optimization
• mixup: Beyond Empirical Risk Minimization

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