| Discovering Reinforcement Learning Algorithms | Jul 17, 2020 | Atari GamesMeta-Learning | CodeCode Available | 1 | 5 |
| Discovering Temporally-Aware Reinforcement Learning Algorithms | Feb 8, 2024 | Meta-Learningreinforcement-learning | CodeCode Available | 1 | 5 |
| Attentive Weights Generation for Few Shot Learning via Information Maximization | Jun 1, 2020 | ClassificationFew-Shot Image Classification | CodeCode Available | 1 | 5 |
| Domain Adaptive Few-Shot Open-Set Learning | Sep 22, 2023 | cross-domain few-shot learningFew-Shot Learning | CodeCode Available | 1 | 5 |
| Attentional-Biased Stochastic Gradient Descent | Dec 13, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| Attention Guided Cosine Margin For Overcoming Class-Imbalance in Few-Shot Road Object Detection | Nov 12, 2021 | Few-Shot Object DetectionMeta-Learning | CodeCode Available | 1 | 5 |
| Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning | Jun 11, 2023 | Knowledge DistillationMeta-Learning | CodeCode Available | 1 | 5 |
| Auto-Lambda: Disentangling Dynamic Task Relationships | Feb 7, 2022 | Auxiliary LearningMeta-Learning | CodeCode Available | 1 | 5 |
| A Channel Coding Benchmark for Meta-Learning | Jul 15, 2021 | Meta-Learning | CodeCode Available | 1 | 5 |
| AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks | Sep 18, 2021 | Meta-LearningNeural Architecture Search | CodeCode Available | 1 | 5 |
| Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning | Mar 20, 2023 | Meta-Learning | CodeCode Available | 1 | 5 |
| Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks | May 19, 2021 | Data AugmentationMeta-Learning | CodeCode Available | 1 | 5 |
| Automated Relational Meta-learning | Jan 3, 2020 | Few-Shot Image Classificationimage-classification | CodeCode Available | 1 | 5 |
| Dynamic Relevance Learning for Few-Shot Object Detection | Aug 4, 2021 | Few-Shot Object DetectionMeta-Learning | CodeCode Available | 1 | 5 |
| Adaptive Risk Minimization: Learning to Adapt to Domain Shift | Jul 6, 2020 | BIG-bench Machine LearningDomain Generalization | CodeCode Available | 1 | 5 |
| A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and Disorder | May 31, 2025 | Contrastive LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Cross-Domain Few-Shot Semantic Segmentation | Mar 24, 2022 | Cross-Domain Few-ShotFew-Shot Semantic Segmentation | CodeCode Available | 1 | 5 |
| Automating Outlier Detection via Meta-Learning | Sep 22, 2020 | Anomaly DetectionAutoML | CodeCode Available | 1 | 5 |
| AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning | Feb 20, 2018 | Bayesian OptimizationDiagnostic | CodeCode Available | 1 | 5 |
| Efficient Graph Deep Learning in TensorFlow with tf_geometric | Jan 27, 2021 | Deep LearningGeneral Classification | CodeCode Available | 1 | 5 |
| End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning | Mar 3, 2020 | DecoderMeta-Learning | CodeCode Available | 1 | 5 |
| Adaptive Subspaces for Few-Shot Learning | Jun 1, 2020 | Few-Shot Image ClassificationFew-Shot Learning | CodeCode Available | 1 | 5 |
| A contrastive rule for meta-learning | Apr 4, 2021 | Meta-Learning | CodeCode Available | 1 | 5 |
| Adaptive Transfer Learning on Graph Neural Networks | Jul 19, 2021 | Meta-LearningMulti-Task Learning | CodeCode Available | 1 | 5 |
| EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization | Jun 19, 2021 | Cross-Domain Few-Shotcross-domain few-shot learning | CodeCode Available | 1 | 5 |
| Cross-Market Product Recommendation | Sep 13, 2021 | Domain AdaptationMeta-Learning | CodeCode Available | 1 | 5 |
| A picture of the space of typical learnable tasks | Oct 31, 2022 | Contrastive LearningMeta-Learning | CodeCode Available | 1 | 5 |
| 2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets | Feb 14, 2022 | EEGElectroencephalogram (EEG) | CodeCode Available | 1 | 5 |
| A Simple Approach to Case-Based Reasoning in Knowledge Bases | Jun 25, 2020 | Knowledge GraphsMeta-Learning | CodeCode Available | 1 | 5 |
| CURI: A Benchmark for Productive Concept Learning Under Uncertainty | Oct 6, 2020 | Meta-LearningSystematic Generalization | CodeCode Available | 1 | 5 |
| Data Augmentation for Meta-Learning | Oct 14, 2020 | Data AugmentationMeta-Learning | CodeCode Available | 1 | 5 |
| Diffusion-Based Neural Network Weights Generation | Feb 28, 2024 | Meta-LearningRepresentation Learning | CodeCode Available | 1 | 5 |
| Control-oriented meta-learning | Apr 14, 2022 | Meta-Learningregression | CodeCode Available | 1 | 5 |
| Copolymer Informatics with Multi-Task Deep Neural Networks | Mar 25, 2021 | Meta-LearningMulti-Task Learning | CodeCode Available | 1 | 5 |
| Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning | Mar 9, 2020 | Few-Shot LearningGeneral Classification | CodeCode Available | 1 | 5 |
| Adapting to Distribution Shift by Visual Domain Prompt Generation | May 5, 2024 | Domain GeneralizationMeta-Learning | CodeCode Available | 1 | 5 |
| ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification | May 16, 2023 | ClassificationContrastive Learning | CodeCode Available | 1 | 5 |
| Covariate Distribution Aware Meta-learning | Jul 6, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real World | Jan 1, 2024 | Image Super-ResolutionMeta-Learning | CodeCode Available | 1 | 5 |
| Continued Pretraining for Better Zero- and Few-Shot Promptability | Oct 19, 2022 | Language ModelingLanguage Modelling | CodeCode Available | 1 | 5 |
| Contrastive Meta-Learning for Partially Observable Few-Shot Learning | Jan 30, 2023 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition | May 7, 2021 | Adversarial AttackFace Generation | CodeCode Available | 1 | 5 |
| Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation | Jul 21, 2023 | Image SegmentationMedical Image Segmentation | CodeCode Available | 1 | 5 |
| Consolidated learning -- a domain-specific model-free optimization strategy with examples for XGBoost and MIMIC-IV | Jan 27, 2022 | Meta-Learning | 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 |
| An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling | Sep 27, 2021 | Few-shot NERMeta-Learning | CodeCode Available | 1 | 5 |
| A Broader Study of Cross-Domain Few-Shot Learning | Dec 16, 2019 | Cross-Domain Few-Shotcross-domain few-shot learning | CodeCode Available | 1 | 5 |
| Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations | Aug 30, 2019 | Link PredictionMeta-Learning | CodeCode Available | 1 | 5 |
| Context-Aware Meta-Learning | Oct 17, 2023 | Few-Shot Image ClassificationIn-Context Learning | CodeCode Available | 1 | 5 |
