| Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective | Dec 16, 2023 | Contrastive LearningMeta-Learning | CodeCode Available | 1 |
| MotherNet: Fast Training and Inference via Hyper-Network Transformers | Dec 14, 2023 | ClassificationIn-Context Learning | CodeCode Available | 1 |
| Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion | Dec 11, 2023 | Meta-LearningTask Arithmetic | CodeCode Available | 1 |
| Meta ControlNet: Enhancing Task Adaptation via Meta Learning | Dec 3, 2023 | Edge DetectionImage Generation | CodeCode Available | 1 |
| Automating Continual Learning | Dec 1, 2023 | Continual Learningimage-classification | CodeCode Available | 1 |
| SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation | Nov 24, 2023 | Meta-LearningOne-Shot Segmentation | CodeCode Available | 1 |
| MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction | Nov 23, 2023 | Facial Beauty PredictionMeta-Learning | CodeCode Available | 1 |
| MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning | Nov 22, 2023 | Bilevel OptimizationDenoising | CodeCode Available | 1 |
| Massive Editing for Large Language Models via Meta Learning | Nov 8, 2023 | Fact CheckingLanguage Modeling | CodeCode Available | 1 |
| NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications | Nov 4, 2023 | BenchmarkingDeep Learning | CodeCode Available | 1 |
| RedCoast: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs | Oct 25, 2023 | GPULanguage Modeling | CodeCode Available | 1 |
| Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder | Oct 25, 2023 | Contrastive LearningMeta-Learning | CodeCode Available | 1 |
| RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction | Oct 24, 2023 | Document-level Relation ExtractionMeta-Learning | CodeCode Available | 1 |
| Implicit meta-learning may lead language models to trust more reliable sources | Oct 23, 2023 | In-Context LearningMeta-Learning | CodeCode Available | 1 |
| Group Preference Optimization: Few-Shot Alignment of Large Language Models | Oct 17, 2023 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Context-Aware Meta-Learning | Oct 17, 2023 | Few-Shot Image ClassificationIn-Context Learning | CodeCode Available | 1 |
| Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification | Oct 16, 2023 | Data AugmentationMeta-Learning | CodeCode Available | 1 |
| AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents | Oct 15, 2023 | In-Context LearningIn-Context Reinforcement Learning | CodeCode Available | 1 |
| Learn From Model Beyond Fine-Tuning: A Survey | Oct 12, 2023 | Meta-Learningmodel | CodeCode Available | 1 |
| Self-Supervised Dataset Distillation for Transfer Learning | Oct 10, 2023 | Bilevel OptimizationDataset Distillation | CodeCode Available | 1 |
| Neural Relational Inference with Fast Modular Meta-learning | Oct 10, 2023 | Graph Neural NetworkMeta-Learning | CodeCode Available | 1 |
| Domain Adaptive Few-Shot Open-Set Learning | Sep 22, 2023 | cross-domain few-shot learningFew-Shot Learning | CodeCode Available | 1 |
| Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks | Sep 19, 2023 | CoLAContrastive Learning | CodeCode Available | 1 |
| MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces | Sep 15, 2023 | Image GenerationImage Super-Resolution | CodeCode Available | 1 |
| Fine-grained Recognition with Learnable Semantic Data Augmentation | Sep 1, 2023 | Data AugmentationFine-Grained Image Recognition | CodeCode Available | 1 |
| Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning | Aug 31, 2023 | DecoderFew-Shot Learning | CodeCode Available | 1 |
| MetaWeather: Few-Shot Weather-Degraded Image Restoration | Aug 28, 2023 | Image RestorationMeta-Learning | CodeCode Available | 1 |
| MetaGCD: Learning to Continually Learn in Generalized Category Discovery | Aug 21, 2023 | Incremental LearningMeta-Learning | CodeCode Available | 1 |
| Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization | Aug 18, 2023 | Domain GeneralizationMeta-Learning | CodeCode Available | 1 |
| Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta Learning | Aug 11, 2023 | Meta-LearningPrivacy Preserving | CodeCode Available | 1 |
| You Can Backdoor Personalized Federated Learning | Jul 29, 2023 | Backdoor AttackFederated Learning | CodeCode Available | 1 |
| Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation | Jul 21, 2023 | Image SegmentationMedical Image Segmentation | CodeCode Available | 1 |
| Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning | Jul 18, 2023 | Federated LearningLanguage Modeling | CodeCode Available | 1 |
| Towards Task Sampler Learning for Meta-Learning | Jul 18, 2023 | DiversityFew-Shot Learning | CodeCode Available | 1 |
| Generative Meta-Learning Robust Quality-Diversity Portfolio | Jul 15, 2023 | DiversityMeta-Learning | CodeCode Available | 1 |
| OntoChatGPT Information System: Ontology-Driven Structured Prompts for ChatGPT Meta-Learning | Jul 11, 2023 | ChatbotInformation Retrieval | CodeCode Available | 1 |
| First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs | Jul 5, 2023 | Meta-LearningReinforcement Learning (RL) | CodeCode Available | 1 |
| Improving Language Plasticity via Pretraining with Active Forgetting | Jul 3, 2023 | Meta-Learning | CodeCode Available | 1 |
| Graph Sampling-based Meta-Learning for Molecular Property Prediction | Jun 29, 2023 | Graph SamplingMeta-Learning | CodeCode Available | 1 |
| Unsupervised Episode Generation for Graph Meta-learning | Jun 27, 2023 | Contrastive LearningMeta-Learning | CodeCode Available | 1 |
| ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion | Jun 26, 2023 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces | Jun 22, 2023 | AttributeMeta-Learning | CodeCode Available | 1 |
| Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning | Jun 18, 2023 | Cross-Domain Few-Shotcross-domain few-shot learning | CodeCode Available | 1 |
| FewSAR: A Few-shot SAR Image Classification Benchmark | Jun 16, 2023 | ClassificationFew-Shot Learning | CodeCode Available | 1 |
| DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting | Jun 16, 2023 | Incremental LearningMeta-Learning | CodeCode Available | 1 |
| Adaptive Multi-Teacher Knowledge Distillation with Meta-Learning | Jun 11, 2023 | Knowledge DistillationMeta-Learning | CodeCode Available | 1 |
| Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations | Jun 9, 2023 | ImputationMeta-Learning | CodeCode Available | 1 |
| Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization | Jun 5, 2023 | Combinatorial OptimizationDeep Reinforcement Learning | CodeCode Available | 1 |
| Towards Omni-generalizable Neural Methods for Vehicle Routing Problems | May 31, 2023 | Combinatorial OptimizationMeta-Learning | CodeCode Available | 1 |
| Task-Equivariant Graph Few-shot Learning | May 30, 2023 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
