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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 176–200 of 3569 papers

TitleStatusHype
Online Meta-learning for AutoML in Real-time (OnMAR)—0
Learning to Generalize without Bias for Open-Vocabulary Action Recognition—0
Teasing Apart Architecture and Initial Weights as Sources of Inductive Bias in Neural Networks—0
AutoML for Multi-Class Anomaly Compensation of Sensor DriftCode0
FSPO: Few-Shot Preference Optimization of Synthetic Preference Data in LLMs Elicits Effective Personalization to Real UsersCode1
On-device edge learning for IoT data streams: a survey—0
ToMCAT: Theory-of-Mind for Cooperative Agents in Teams via Multiagent Diffusion Policies—0
Enhancing CoMP-RSMA Performance with Movable Antennas: A Meta-Learning Optimization Framework—0
Electrical Load Forecasting over Multihop Smart Metering Networks with Federated Learning—0
In-context learning of evolving data streams with tabular foundational models—0
MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence—0
Cross-domain Few-shot Object Detection with Multi-modal Textual EnrichmentCode1
Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning—0
MedFuncta: Modality-Agnostic Representations Based on Efficient Neural FieldsCode1
Dual-level Mixup for Graph Few-shot Learning with Fewer TasksCode0
A Chain-of-Thought Subspace Meta-Learning for Few-shot Image Captioning with Large Vision and Language Models—0
AI-Driven Discovery of High Performance Polymer Electrodes for Next-Generation BatteriesCode0
Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization—0
UniMatch: Universal Matching from Atom to Task for Few-Shot Drug DiscoveryCode0
PrivilegedDreamer: Explicit Imagination of Privileged Information for Rapid Adaptation of Learned Policies—0
Generalizable speech deepfake detection via meta-learned LoRA—0
Diverse Inference and Verification for Advanced Reasoning—0
A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning—0
A Survey of Reinforcement Learning for Optimization in Automation—0
Meta-INR: Efficient Encoding of Volumetric Data via Meta-Learning Implicit Neural RepresentationCode0
Show:102550
← PrevPage 8 of 143Next →
All datasetsML10MT50ML45OMNIGLOT - 1-Shot, 20-way

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MZ+ReconMeta-train success rate97.8—Unverified
2MZMeta-train success rate97.6—Unverified
3MAMLMeta-test success rate36—Unverified
4RL^2Meta-test success rate10—Unverified
5DnCMeta-test success rate5.4—Unverified
6PEARLMeta-test success rate0—Unverified
#ModelMetricClaimedVerifiedStatus
1SoftModuleAverage Success Rate60—Unverified
2Multi-task multi-head SACAverage Success Rate35.85—Unverified
3DisCorAverage Success Rate26—Unverified
4NDPAverage Success Rate11—Unverified
#ModelMetricClaimedVerifiedStatus
1MZ+ReconMeta-test success rate (zero-shot)18.5—Unverified
2MZMeta-test success rate (zero-shot)17.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Metadrop% Test Accuracy95.75—Unverified