| Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? | Mar 6, 2022 | Meta-Learningmodel | CodeCode Available | 0 | 5 |
| Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition | May 24, 2022 | Few-shot NERLanguage Modeling | 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 |
| 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 |
| An Investigation of the Bias-Variance Tradeoff in Meta-Gradients | Sep 22, 2022 | Meta-LearningReinforcement Learning (RL) | 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 |
| Learning vs Retrieval: The Role of In-Context Examples in Regression with LLMs | Sep 6, 2024 | In-Context 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 |
| Incremental Few-Shot Learning with Attention Attractor Networks | Oct 16, 2018 | Few-Shot LearningGeneral Classification | 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 |
| CMVAE: Causal Meta VAE for Unsupervised Meta-Learning | Feb 20, 2023 | Few-Shot Image Classificationimage-classification | CodeCode Available | 0 | 5 |
| Environmental Sensor Placement with Convolutional Gaussian Neural Processes | Nov 18, 2022 | Active LearningGaussian Processes | CodeCode Available | 0 | 5 |
| Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning | Oct 6, 2022 | Meta-LearningVariational Inference | CodeCode Available | 0 | 5 |
| Few-Shot Fine-Grained Action Recognition via Bidirectional Attention and Contrastive Meta-Learning | Aug 15, 2021 | Action RecognitionAction Understanding | CodeCode Available | 0 | 5 |
| CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation | Aug 24, 2021 | Computational EfficiencyMeta-Learning | CodeCode Available | 0 | 5 |
| Contextual Gradient Scaling for Few-Shot Learning | Oct 20, 2021 | Cross-Domain Few-ShotFew-Shot Learning | CodeCode Available | 0 | 5 |
| Adversarial Meta-Learning of Gamma-Minimax Estimators That Leverage Prior Knowledge | Dec 10, 2020 | Meta-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 |
| Improving Meta-Learning Generalization with Activation-Based Early-Stopping | Aug 3, 2022 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 | 5 |
| Contextualizing Meta-Learning via Learning to Decompose | Jun 15, 2021 | AttributeFew-Shot Image Classification | CodeCode Available | 0 | 5 |
| Lifelong Domain Word Embedding via Meta-Learning | May 25, 2018 | Lifelong learningMeta-Learning | CodeCode Available | 0 | 5 |
| Improving Meta-Continual Learning Representations with Representation Replay | Sep 29, 2021 | Continual LearningMeta-Learning | CodeCode Available | 0 | 5 |
| In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models | Nov 10, 2023 | In-Context LearningMeta-Learning | CodeCode Available | 0 | 5 |
| Improving Memory Efficiency for Training KANs via Meta Learning | Jun 9, 2025 | image-classificationImage Classification | CodeCode Available | 0 | 5 |