conftrace_

Learning Paradigms

2,205 papers (6 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Meta-Learning (1,038) Federated Learning (969) Curriculum Learning (214)

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Papers (including subtopics)

Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement NeurIPS 2024 Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors IJCAI 2024 Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis ICLR 2024 Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning WACV 2024 Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation WACV 2024 Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems AAAI 2024 Meta Learning in Bandits within shared affine Subspaces AISTATS 2024 Meta-Learning Universal Priors Using Non-Injective Change of Variables NeurIPS 2024 Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy IJCAI 2024 Metalearning with Very Few Samples Per Task COLT 2024 MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine Learning ICLR 2024 Meta-Point Learning and Refining for Category-Agnostic Pose Estimation CVPR 2024 MetaReflection: Learning Instructions for Language Agents using Past Reflections EMNLP 2024 Meta-Reinforcement Learning via Exploratory Task Clustering AAAI 2024 Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator NeurIPS 2024 MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity AAAI 2024 Meta-Tuning LLMs to Leverage Lexical Knowledge for Generalizable Language Style Understanding ACL 2024 MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning NeurIPS 2024 Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes ICLR 2024 Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning WACV 2024 Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices CVPR 2024 Mixing Gradients in Neural Networks as a Strategy To Enhance Privacy in Federated Learning WACV 2024 Mixture of Adversarial LoRAs: Boosting Robust Generalization in Meta-Tuning NeurIPS 2024 Modelling Variability in Human Annotator Simulation ACL 2024 Multi-Dimensional Fair Federated Learning AAAI 2024