| Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction | May 24, 2024 | Meta-LearningMolecular Property Prediction | CodeCode Available | 0 | 5 |
| Adversarial Attacks on Graph Neural Networks via Meta Learning | Feb 22, 2019 | General ClassificationMeta-Learning | CodeCode Available | 0 | 5 |
| Finding the Homology of Decision Boundaries with Active Learning | Nov 19, 2020 | Active LearningMeta-Learning | 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 |
| LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting | Dec 18, 2023 | Meta-LearningModel Optimization | CodeCode Available | 0 | 5 |
| Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks | Oct 1, 2018 | Meta-LearningScheduling | CodeCode Available | 0 | 5 |
| Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data | Jul 28, 2018 | Fine-Grained Visual CategorizationMeta-Learning | CodeCode Available | 0 | 5 |
| Few-Shot Learning with Global Class Representations | Aug 14, 2019 | Few-Shot Image ClassificationFew-Shot 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 |
| It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation | Sep 30, 2023 | Density EstimationMeta-Learning | CodeCode Available | 0 | 5 |
| Collision Avoidance Robotics Via Meta-Learning (CARML) | Jul 16, 2020 | Collision AvoidanceMeta-Learning | CodeCode Available | 0 | 5 |
| Consistency of Compositional Generalization across Multiple Levels | Dec 18, 2024 | Meta-LearningQuestion Answering | CodeCode Available | 0 | 5 |
| Inverse Learning with Extremely Sparse Feedback for Recommendation | Nov 14, 2023 | 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 |
| Learning to Learn without Forgetting using Attention | Aug 6, 2024 | Continual LearningMeta-Learning | CodeCode Available | 0 | 5 |
| Learning to Learn Kernels with Variational Random Features | Jun 11, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 | 5 |
| Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization | Aug 2, 2021 | Few-Shot LearningMeta-Learning | 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 |
| Few-Shot Learning for Image Classification of Common Flora | May 7, 2021 | ClassificationFew-Shot Image Classification | CodeCode Available | 0 | 5 |
| Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming | Dec 15, 2023 | Autonomous DrivingMeta-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 |
| Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment | Jan 19, 2023 | Data AugmentationDomain Generalization | CodeCode Available | 0 | 5 |
| An Investigation of the Bias-Variance Tradeoff in Meta-Gradients | Sep 22, 2022 | Meta-LearningReinforcement Learning (RL) | CodeCode Available | 0 | 5 |
| Incremental Few-Shot Learning with Attention Attractor Networks | Oct 16, 2018 | Few-Shot LearningGeneral Classification | CodeCode Available | 0 | 5 |
