| learn2learn: A Library for Meta-Learning Research | Aug 27, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 | 5 |
| Meta-Learning for One-Class Classification with Few Examples using Order-Equivariant Network | Jul 8, 2020 | Anomaly DetectionAstronomy | CodeCode Available | 0 | 5 |
| It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation | Sep 30, 2023 | Density EstimationMeta-Learning | CodeCode Available | 0 | 5 |
| Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? | Mar 6, 2022 | Meta-Learningmodel | CodeCode Available | 0 | 5 |
| Joint inference and input optimization in equilibrium networks | Nov 25, 2021 | DenoisingMeta-Learning | CodeCode Available | 0 | 5 |
| A new benchmark for group distribution shifts in hand grasp regression for object manipulation. Can meta-learning raise the bar? | Oct 31, 2022 | hand-object poseMeta-Learning | CodeCode Available | 0 | 5 |
| Inverse Learning with Extremely Sparse Feedback for Recommendation | Nov 14, 2023 | Meta-Learning | CodeCode Available | 0 | 5 |
| Interpretable Meta-Measure for Model Performance | Jun 2, 2020 | Meta-Learningmodel | CodeCode Available | 0 | 5 |
| Chameleon: Learning Model Initializations Across Tasks With Different Schemas | Sep 30, 2019 | Meta-Learning | CodeCode Available | 0 | 5 |
| Interval Bound Interpolation for Few-shot Learning with Few Tasks | Apr 7, 2022 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 | 5 |
| Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups | Nov 3, 2024 | Binary ClassificationComplex Word Identification | CodeCode Available | 0 | 5 |
| INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing | Aug 11, 2023 | CPUGPU | CodeCode Available | 0 | 5 |
| Guided evolutionary strategies: Augmenting random search with surrogate gradients | Jun 26, 2018 | Meta-LearningReinforcement Learning | CodeCode Available | 0 | 5 |
| Feature Extractor Stacking for Cross-domain Few-shot Learning | May 12, 2022 | Cross-Domain Few-Shotcross-domain few-shot learning | CodeCode Available | 0 | 5 |
| Incremental Few-Shot Learning with Attention Attractor Networks | Oct 16, 2018 | Few-Shot LearningGeneral Classification | CodeCode Available | 0 | 5 |
| In-Context Learning through the Bayesian Prism | Jun 8, 2023 | Bayesian InferenceIn-Context Learning | CodeCode Available | 0 | 5 |
| Few-Shot Learning with Localization in Realistic Settings | Apr 9, 2019 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 | 5 |
| Hacking Task Confounder in Meta-Learning | Dec 10, 2023 | Meta-LearningTransfer Learning | CodeCode Available | 0 | 5 |
| Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh Recovery | Jan 25, 2024 | Human Mesh RecoveryMeta-Learning | CodeCode Available | 0 | 5 |
| Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition | Nov 9, 2021 | Continual LearningKnowledge Distillation | CodeCode Available | 0 | 5 |
| Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation | May 30, 2023 | Data AugmentationImage Segmentation | CodeCode Available | 0 | 5 |
| Improving Generalization in Meta-Learning via Meta-Gradient Augmentation | Jun 14, 2023 | Few-Shot LearningMemorization | CodeCode Available | 0 | 5 |
| Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects | May 29, 2022 | BIG-bench Machine LearningCausal Inference | CodeCode Available | 0 | 5 |
| Centroids Matching: an efficient Continual Learning approach operating in the embedding space | Aug 3, 2022 | Continual LearningIncremental Learning | CodeCode Available | 0 | 5 |
| Improving Federated Learning Personalization via Model Agnostic Meta Learning | Sep 27, 2019 | Federated LearningMeta-Learning | CodeCode Available | 0 | 5 |
