SOTAVerified

Meta-Learning

Meta-learning is a methodology considered with "learning to learn" machine learning algorithms.

( Image credit: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks )

Papers

Showing 13511375 of 3569 papers

TitleStatusHype
Fast Meta-Learning for Adaptive Hierarchical Classifier DesignCode0
Improving Memory Efficiency for Training KANs via Meta LearningCode0
Adaptive Conditional Quantile Neural ProcessesCode0
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model CompressionCode0
Improving Meta-Continual Learning Representations with Representation ReplayCode0
Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores using Graph Neural Networks and Meta-LearningCode0
In-Context Learning through the Bayesian PrismCode0
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual RecognitionCode0
Bayesian Meta-Learning for Improving Generalizability of Health Prediction Models With Similar Causal MechanismsCode0
Fast Finite Width Neural Tangent KernelCode0
Improving Federated Learning Personalization via Model Agnostic Meta LearningCode0
When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then Meta-learning for Few-shot Text ClassificationCode0
META-Learning State-based Eligibility Traces for More Sample-Efficient Policy EvaluationCode0
Improving Arabic Multi-Label Emotion Classification using Stacked Embeddings and Hybrid Loss FunctionCode0
Improving Both Domain Robustness and Domain Adaptability in Machine TranslationCode0
Fast Efficient Hyperparameter Tuning for Policy GradientsCode0
Im-Promptu: In-Context Composition from Image PromptsCode0
Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the TasksCode0
Improving Generalization in Meta-Learning via Meta-Gradient AugmentationCode0
An Efficient Memory Module for Graph Few-Shot Class-Incremental LearningCode0
Carle's Game: An Open-Ended Challenge in Exploratory Machine CreativityCode0
Imbalanced Regression Pipeline RecommendationCode0
Sequential Scenario-Specific Meta Learner for Online RecommendationCode0
Fast Adaptive Meta-Learning for Few-Shot Image GenerationCode0
Hyperparameter Optimization as a Service on INFN CloudCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MZ+ReconMeta-train success rate97.8Unverified
2MZMeta-train success rate97.6Unverified
3MAMLMeta-test success rate36Unverified
4RL^2Meta-test success rate10Unverified
5DnCMeta-test success rate5.4Unverified
6PEARLMeta-test success rate0Unverified
#ModelMetricClaimedVerifiedStatus
1SoftModuleAverage Success Rate60Unverified
2Multi-task multi-head SACAverage Success Rate35.85Unverified
3DisCorAverage Success Rate26Unverified
4NDPAverage Success Rate11Unverified
#ModelMetricClaimedVerifiedStatus
1MZ+ReconMeta-test success rate (zero-shot)18.5Unverified
2MZMeta-test success rate (zero-shot)17.7Unverified
#ModelMetricClaimedVerifiedStatus
1Metadrop% Test Accuracy95.75Unverified