| Meta-learning with differentiable closed-form solvers | May 21, 2018 | BIG-bench Machine LearningFew-Shot Learning | CodeCode Available | 1 |
| Meta-Learning with Differentiable Convex Optimization | Apr 7, 2019 | Few-Shot Image ClassificationFew-Shot Learning | CodeCode Available | 1 |
| Meta-Learning with Implicit Gradients | Sep 10, 2019 | Few-Shot Image ClassificationFew-Shot Learning | CodeCode Available | 1 |
| Meta-Learning with Latent Embedding Optimization | Jul 16, 2018 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Metalic: Meta-Learning In-Context with Protein Language Models | Oct 10, 2024 | In-Context LearningMeta-Learning | CodeCode Available | 1 |
| MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning | Sep 16, 2022 | Contrastive LearningMeta-Learning | CodeCode Available | 1 |
| MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning | Mar 26, 2021 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn | May 12, 2023 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation | Apr 21, 2022 | DecoderFew-Shot Semantic Segmentation | CodeCode Available | 1 |
| Particle Flow Bayes' Rule | Feb 2, 2019 | Bayesian InferenceMeta-Learning | CodeCode Available | 1 |
| ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification | May 16, 2023 | ClassificationContrastive Learning | CodeCode Available | 1 |
| MetaPoison: Practical General-purpose Clean-label Data Poisoning | Apr 1, 2020 | AutoMLBilevel Optimization | CodeCode Available | 1 |
| BlackGoose Rimer: Harnessing RWKV-7 as a Simple yet Superior Replacement for Transformers in Large-Scale Time Series Modeling | Mar 8, 2025 | Meta-LearningTime Series | CodeCode Available | 1 |
| Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation | Jul 21, 2023 | Image SegmentationMedical Image Segmentation | CodeCode Available | 1 |
| Meta Pseudo Labels | Mar 23, 2020 | Image ClassificationMeta-Learning | CodeCode Available | 1 |
| Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization | Jun 5, 2023 | Combinatorial OptimizationDeep Reinforcement Learning | CodeCode Available | 1 |
| Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-start | Feb 7, 2022 | Bilevel OptimizationData Poisoning | CodeCode Available | 1 |
| A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and Disorder | May 31, 2025 | Contrastive LearningMeta-Learning | CodeCode Available | 1 |
| Meta-SGD: Learning to Learn Quickly for Few-Shot Learning | Jul 31, 2017 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Simulating Unknown Target Models for Query-Efficient Black-box Attacks | Sep 2, 2020 | Knowledge DistillationMeta-Learning | CodeCode Available | 1 |
| Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach | Jul 20, 2022 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Consolidated learning -- a domain-specific model-free optimization strategy with examples for XGBoost and MIMIC-IV | Jan 27, 2022 | Meta-Learning | CodeCode Available | 1 |
| Meta-Transfer Learning for Few-Shot Learning | Dec 6, 2018 | Few-Shot Image ClassificationFew-Shot Learning | CodeCode Available | 1 |
| Meta-Transfer Learning for Zero-Shot Super-Resolution | Feb 27, 2020 | Image Super-ResolutionMeta-Learning | CodeCode Available | 1 |
| Control-oriented meta-learning | Apr 14, 2022 | Meta-Learningregression | CodeCode Available | 1 |
