| Can Learned Optimization Make Reinforcement Learning Less Difficult? | Jul 9, 2024 | Decision MakingMeta-Learning | CodeCode Available | 1 | 5 |
| Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation | Jun 16, 2021 | Few-Shot Image Classificationimage-classification | CodeCode Available | 1 | 5 |
| CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection | Oct 11, 2022 | Cross-Domain Few-ShotCross-Domain Few-Shot Object Detection | CodeCode Available | 1 | 5 |
| BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach | Sep 19, 2022 | Bilevel OptimizationContinual Learning | CodeCode Available | 1 | 5 |
| AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents | Oct 15, 2023 | In-Context LearningIn-Context Reinforcement Learning | CodeCode Available | 1 | 5 |
| BOML: A Modularized Bilevel Optimization Library in Python for Meta Learning | Sep 28, 2020 | Bilevel OptimizationMeta-Learning | CodeCode Available | 1 | 5 |
| Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild | Apr 29, 2024 | Meta-Learning | CodeCode Available | 1 | 5 |
| Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-start | Feb 7, 2022 | Bilevel OptimizationData Poisoning | CodeCode Available | 1 | 5 |
| Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation | Apr 21, 2022 | DecoderFew-Shot Semantic Segmentation | CodeCode Available | 1 | 5 |
| Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach | Jul 20, 2022 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems | Mar 7, 2021 | Meta-Learningregression | CodeCode Available | 1 | 5 |
| A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark | Oct 24, 2021 | ClassificationMeta-Learning | CodeCode Available | 1 | 5 |
| A Channel Coding Benchmark for Meta-Learning | Jul 15, 2021 | Meta-Learning | CodeCode Available | 1 | 5 |
| A Meta-Learning Approach for Training Explainable Graph Neural Networks | Sep 20, 2021 | Graph ClassificationMeta-Learning | CodeCode Available | 1 | 5 |
| A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings | Dec 12, 2020 | Graph Representation LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Boosting Few-Shot Classification with View-Learnable Contrastive Learning | Jul 20, 2021 | ClassificationContrastive Learning | CodeCode Available | 1 | 5 |
| Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement | Dec 25, 2023 | Meta-Learning | CodeCode Available | 1 | 5 |
| CAMeL: Cross-modality Adaptive Meta-Learning for Text-based Person Retrieval | Apr 26, 2025 | Meta-LearningPerson Retrieval | CodeCode Available | 1 | 5 |
| Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning | Nov 30, 2021 | 3D Human Pose EstimationCamera Calibration | CodeCode Available | 1 | 5 |
| Bayesian Model-Agnostic Meta-Learning | Jun 11, 2018 | Active Learningimage-classification | CodeCode Available | 1 | 5 |
| Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion | Dec 11, 2023 | Meta-LearningTask Arithmetic | CodeCode Available | 1 | 5 |
| An Analysis of the Adaptation Speed of Causal Models | May 18, 2020 | Meta-LearningStochastic Optimization | CodeCode Available | 1 | 5 |
| Amortized Probabilistic Conditioning for Optimization, Simulation and Inference | Oct 20, 2024 | Bayesian OptimizationMeta-Learning | CodeCode Available | 1 | 5 |
| Continued Pretraining for Better Zero- and Few-Shot Promptability | Oct 19, 2022 | Language ModelingLanguage Modelling | CodeCode Available | 1 | 5 |
| 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 | 5 |
