{"total":103,"rows":[{"id":"2307.04722","title":"Advances and Challenges in Meta-Learning: A Technical Review","created":"2023-07-10","cited_by_count":65,"area":null},{"id":"2108.13643","title":"Learning to Synthesize Programs as Interpretable and Generalizable Policies","created":"2021-08-31","cited_by_count":59,"area":null},{"id":"2206.03996","title":"Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning","created":"2022-06-08","cited_by_count":58,"area":null},{"id":"2108.05028","title":"Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder","created":"2021-08-11","cited_by_count":51,"area":null},{"id":"2110.03909","title":"Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning","created":"2021-10-08","cited_by_count":49,"area":null},{"id":"2210.11348","title":"Hypernetworks in Meta-Reinforcement Learning","created":"2022-10-20","cited_by_count":42,"area":null},{"id":"2204.11828","title":"Skill-based Meta-Reinforcement Learning","created":"2022-04-25","cited_by_count":37,"area":null},{"id":"2206.13074","title":"Leveraging Language for Accelerated Learning of Tool Manipulation","created":"2022-06-27","cited_by_count":26,"area":null},{"id":"2207.11719","title":"Gradient-based Bi-level Optimization for Deep Learning: A Survey","created":"2022-07-24","cited_by_count":26,"area":null},{"id":"2206.00050","title":"FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation","created":"2022-05-31","cited_by_count":24,"area":null},{"id":"2106.04335","title":"Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization","created":"2021-06-08","cited_by_count":23,"area":null},{"id":"2203.14843","title":"Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches","created":"2022-03-28","cited_by_count":23,"area":null},{"id":"2106.16245","title":"How to Train Your MAML to Excel in Few-Shot Classification","created":"2021-06-30","cited_by_count":22,"area":null},{"id":"2110.14202","title":"Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning","created":"2021-10-27","cited_by_count":22,"area":null},{"id":"2306.01343","title":"Bilevel Fast Scene Adaptation for Low-Light Image Enhancement","created":"2023-06-02","cited_by_count":22,"area":null},{"id":"2110.00715","title":"An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset","created":"2021-10-02","cited_by_count":18,"area":null},{"id":"2203.04905","title":"What Matters For Meta-Learning Vision Regression Tasks?","created":"2022-03-09","cited_by_count":18,"area":null},{"id":"2309.14970","title":"Recurrent Hypernetworks are Surprisingly Strong in Meta-RL","created":"2023-09-26","cited_by_count":16,"area":null},{"id":"2310.02782","title":"Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design","created":"2023-10-04","cited_by_count":16,"area":null},{"id":"2109.06429","title":"Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology","created":"2021-09-14","cited_by_count":15,"area":null},{"id":"2209.01501","title":"Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions","created":"2022-09-03","cited_by_count":14,"area":null},{"id":"2312.01082","title":"A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness","created":"2023-12-02","cited_by_count":14,"area":null},{"id":"2203.03059","title":"Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably?","created":"2022-03-06","cited_by_count":13,"area":null},{"id":"2103.16277","title":"Conditional Meta-Learning of Linear Representations","created":"2021-03-30","cited_by_count":12,"area":null},{"id":"2104.03737","title":"Few-Shot Action Recognition with Compromised Metric via Optimal Transport","created":"2021-04-08","cited_by_count":12,"area":null},{"id":"2210.13111","title":"Federated Learning and Meta Learning: Approaches, Applications, and Directions","created":"2022-10-24","cited_by_count":12,"area":null},{"id":"2109.13576","title":"Multimodality in Meta-Learning: A Comprehensive Survey","created":"2021-09-28","cited_by_count":11,"area":null},{"id":"2310.00708","title":"A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm","created":"2023-10-01","cited_by_count":10,"area":null},{"id":"2107.02378","title":"Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks","created":"2021-07-06","cited_by_count":9,"area":null},{"id":"2203.12768","title":"Multidimensional Belief Quantification for Label-Efficient Meta-Learning","created":"2022-03-23","cited_by_count":9,"area":null},{"id":"2308.02877","title":"Meta-learning in healthcare: A survey","created":"2023-08-05","cited_by_count":9,"area":null},{"id":"2104.10857","title":"Attribute-Modulated Generative Meta Learning for Zero-Shot Classification","created":"2021-04-22","cited_by_count":8,"area":null},{"id":"2105.07889","title":"HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities","created":"2021-05-17","cited_by_count":8,"area":null},{"id":"2109.14120","title":"Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness","created":"2021-09-29","cited_by_count":8,"area":null},{"id":"2206.03483","title":"Few-Shot Learning by Dimensionality Reduction in Gradient Space","created":"2022-06-07","cited_by_count":8,"area":null},{"id":"2310.18713","title":"Episodic Multi-Task Learning with Heterogeneous Neural Processes","created":"2023-10-28","cited_by_count":8,"area":null},{"id":"2108.02842","title":"Multimodal Meta-Learning for Time Series Regression","created":"2021-08-05","cited_by_count":7,"area":null},{"id":"2201.11981","title":"Transfering Hierarchical Structure with Dual Meta Imitation Learning","created":"2022-01-28","cited_by_count":7,"area":"offlinerl"},{"id":"2202.02124","title":"TIML: Task-Informed Meta-Learning for Agriculture","created":"2022-02-04","cited_by_count":7,"area":null},{"id":"2205.11110","title":"Meta-Learning Regrasping Strategies for Physical-Agnostic Objects","created":"2022-05-23","cited_by_count":7,"area":null},{"id":"2107.07579","title":"A Channel Coding Benchmark for Meta-Learning","created":"2021-07-15","cited_by_count":6,"area":null},{"id":"2205.11788","title":"Meta Policy Learning for Cold-Start Conversational Recommendation","created":"2022-05-24","cited_by_count":6,"area":null},{"id":"2302.00671","title":"QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing","created":"2023-02-01","cited_by_count":6,"area":null},{"id":"2505.02703","title":"Structure Causal Models and LLMs Integration in Medical Visual Question Answering","created":"2025-05-05","cited_by_count":6,"area":null},{"id":"2106.08112","title":"Contextualizing Meta-Learning via Learning to Decompose","created":"2021-06-15","cited_by_count":5,"area":null},{"id":"2303.06329","title":"MetaViewer: Towards A Unified Multi-View Representation","created":"2023-03-11","cited_by_count":5,"area":null},{"id":"2510.08962","title":"Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation","created":"2025-10-10","cited_by_count":5,"area":null},{"id":"2102.00456","title":"Meta ordinal weighting net for improving lung nodule classification","created":"2021-01-31","cited_by_count":4,"area":null},{"id":"2109.13305","title":"ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning","created":"2021-09-27","cited_by_count":4,"area":null},{"id":"2210.01881","title":"Tractable Uncertainty-Aware Meta-Learning","created":"2022-10-04","cited_by_count":4,"area":null},{"id":"2302.07958","title":"Meta-Reinforcement Learning via Exploratory Task Clustering","created":"2023-02-15","cited_by_count":4,"area":null},{"id":"2302.08406","title":"Entity Aware Modelling: A Survey","created":"2023-02-16","cited_by_count":4,"area":null},{"id":"2305.07625","title":"Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn","created":"2023-05-12","cited_by_count":4,"area":null},{"id":"2311.14756","title":"Task-Distributionally Robust Data-Free Meta-Learning","created":"2023-11-23","cited_by_count":4,"area":null},{"id":"2401.04338","title":"G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems","created":"2024-01-09","cited_by_count":4,"area":null},{"id":"2408.07340","title":"Towards Few-shot Self-explaining Graph Neural Networks","created":"2024-08-14","cited_by_count":4,"area":null},{"id":"2104.03736","title":"Towards Enabling Meta-Learning from Target Models","created":"2021-04-08","cited_by_count":3,"area":null},{"id":"2303.04338","title":"Provable Pathways: Learning Multiple Tasks over Multiple Paths","created":"2023-03-08","cited_by_count":3,"area":null},{"id":"2303.09253","title":"A Survey of Deep Visual Cross-Domain Few-Shot Learning","created":"2023-03-16","cited_by_count":3,"area":null},{"id":"2310.04727","title":"Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Environmental Systems","created":"2023-10-07","cited_by_count":3,"area":null},{"id":"2403.06768","title":"XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage","created":"2024-03-11","cited_by_count":3,"area":null},{"id":"2410.08355","title":"Metalic: Meta-Learning In-Context with Protein Language Models","created":"2024-10-10","cited_by_count":3,"area":null},{"id":"2212.11702","title":"Robust Meta-Representation Learning via Global Label Inference and Classification","created":"2022-12-22","cited_by_count":2,"area":null},{"id":"2306.04410","title":"Meta-Learning in Spiking Neural Networks with Reward-Modulated STDP","created":"2023-06-07","cited_by_count":2,"area":null},{"id":"2307.06771","title":"Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and Unseen Contrasts using Meta-Learning Hypernetworks","created":"2023-07-13","cited_by_count":2,"area":null},{"id":"2308.04821","title":"HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task Switching Network for MRI Reconstruction","created":"2023-08-09","cited_by_count":2,"area":null},{"id":"2312.03807","title":"Achieving ${O}(\\epsilon^{-1.5})$ Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization","created":"2023-12-06","cited_by_count":2,"area":null},{"id":"2506.04399","title":"Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning","created":"2025-06-04","cited_by_count":2,"area":"deeprl"},{"id":"2511.14279","title":"Free Lunch to Meet the Gap: Intermediate Domain Reconstruction for Cross-Domain Few-Shot Learning","created":"2025-11-18","cited_by_count":2,"area":null},{"id":"2101.01883","title":"Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces","created":"2021-01-06","cited_by_count":1,"area":null},{"id":"2112.05695","title":"Causal Knowledge Guided Societal Event Forecasting","created":"2021-12-10","cited_by_count":1,"area":null},{"id":"2201.07348","title":"Learning Tensor Representations for Meta-Learning","created":"2022-01-18","cited_by_count":1,"area":null},{"id":"2207.14443","title":"A Survey of Learning on Small Data: Generalization, Optimization, and Challenge","created":"2022-07-29","cited_by_count":1,"area":null},{"id":"2209.10072","title":"On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies","created":"2022-09-21","cited_by_count":1,"area":null},{"id":"2301.11779","title":"Invariant Meta Learning for Out-of-Distribution Generalization","created":"2023-01-26","cited_by_count":1,"area":null},{"id":"2304.07567","title":"CoVLR: Coordinating Cross-Modal Consistency and Intra-Modal Structure for Vision-Language Retrieval","created":"2023-04-15","cited_by_count":1,"area":null},{"id":"2312.10179","title":"3FM: Multi-modal Meta-learning for Federated Tasks","created":"2023-12-15","cited_by_count":1,"area":null},{"id":"2403.11743","title":"PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks","created":"2024-03-18","cited_by_count":1,"area":null},{"id":"2406.07983","title":"Meta-Learning Neural Procedural Biases","created":"2024-06-12","cited_by_count":1,"area":null},{"id":"2406.16221","title":"F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data","created":"2024-06-23","cited_by_count":1,"area":null},{"id":"2504.09448","title":"Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization","created":"2025-04-13","cited_by_count":1,"area":null},{"id":"2510.20225","title":"Federated Learning via Meta-Variational Dropout","created":"2025-10-23","cited_by_count":1,"area":null},{"id":"2510.23013","title":"MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning","created":"2025-10-27","cited_by_count":1,"area":"moe"},{"id":"2602.06457","title":"Achieving Better Local Regret Bound for Online Non-Convex Bilevel Optimization","created":"2026-02-06","cited_by_count":1,"area":null},{"id":"2604.26999","title":"Compositional Meta-Learning for Mitigating Task Heterogeneity in Physics-Informed Neural Networks","created":"2026-04-29","cited_by_count":1,"area":null},{"id":"2110.13386","title":"Self-Denoising Neural Networks for Few Shot Learning","created":"2021-10-26","cited_by_count":0,"area":null},{"id":"2207.12346","title":"Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification","created":"2022-07-25","cited_by_count":0,"area":null},{"id":"2210.04843","title":"Multi-Modal Fusion by Meta-Initialization","created":"2022-10-10","cited_by_count":0,"area":null},{"id":"2301.12698","title":"Robust Meta Learning for Image based tasks","created":"2023-01-30","cited_by_count":0,"area":null},{"id":"2304.06309","title":"Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning","created":"2023-04-13","cited_by_count":0,"area":null},{"id":"2306.03311","title":"Learning Embeddings for Sequential Tasks Using Population of Agents","created":"2023-06-05","cited_by_count":0,"area":null},{"id":"2306.15909","title":"RL$^3$: Boosting Meta Reinforcement Learning via RL inside RL$^2$","created":"2023-06-28","cited_by_count":0,"area":null},{"id":"2311.03701","title":"Hypothesis Network Planned Exploration for Rapid Meta-Reinforcement Learning Adaptation","created":"2023-11-07","cited_by_count":0,"area":null},{"id":"2312.16612","title":"Exploring intra-task relations to improve meta-learning algorithms","created":"2023-12-27","cited_by_count":0,"area":null},{"id":"2312.17300","title":"Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space","created":"2023-12-28","cited_by_count":0,"area":null},{"id":"2405.18751","title":"On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization","created":"2024-05-29","cited_by_count":0,"area":null},{"id":"2410.12772","title":"Vaccinating Federated Learning for Robust Modulation Classification in Distributed Wireless Networks","created":"2024-10-16","cited_by_count":0,"area":null},{"id":"2412.12030","title":"Memory-Reduced Meta-Learning with Guaranteed Convergence","created":"2024-12-16","cited_by_count":0,"area":null},{"id":"2506.23549","title":"CooT: Learning to Coordinate In-Context with Coordination Transformers","created":"2025-06-30","cited_by_count":0,"area":null},{"id":"2510.03509","title":"Task-Level Contrastiveness for Cross-Domain Few-Shot Learning","created":"2025-10-03","cited_by_count":0,"area":null}],"next_cursor":"100"}