SOTAVerified

Class Incremental Learning

Papers

Showing 601634 of 634 papers

TitleStatusHype
SS-IL: Separated Softmax for Incremental Learning0
Triple Memory Networks: a Brain-Inspired Method for Continual LearningCode0
Cognitively-Inspired Model for Incremental Learning Using a Few ExamplesCode0
Mnemonics Training: Multi-Class Incremental Learning without ForgettingCode1
Adversarial Incremental Learning0
ScaIL: Classifier Weights Scaling for Class Incremental Learning0
Online Continual Learning with Maximal Interfered RetrievalCode0
Maintaining Discrimination and Fairness in Class Incremental LearningCode1
IL2M: Class Incremental Learning With Dual Memory0
Neural Architecture Search for Class-incremental Learning0
Lifelong Machine Learning with Deep Streaming Linear Discriminant AnalysisCode0
Rehearsal-Free Continual Learning over Small Non-I.I.D. BatchesCode1
Incremental Concept Learning via Online Generative Memory Recall0
Learning a Unified Classifier Incrementally via RebalancingCode0
Large Scale Incremental LearningCode0
Label Mapping Neural Networks with Response Consolidation for Class Incremental Learning0
Three scenarios for continual learningCode2
Overcoming Catastrophic Forgetting with Unlabeled Data in the WildCode0
Gradient based sample selection for online continual learningCode0
Class-incremental Learning via Deep Model ConsolidationCode0
On Tiny Episodic Memories in Continual LearningCode1
Efficient Lifelong Learning with A-GEMCode0
Extending Pretrained Segmentation Networks with Additional Anatomical StructuresCode0
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial AttacksCode1
Continuous Learning in Single-Incremental-Task Scenarios0
SupportNet: solving catastrophic forgetting in class incremental learning with support dataCode0
A Class-Incremental Learning Method Based on One Class Support Vector Machine0
Continual Learning with Deep Generative ReplayCode0
A Strategy for an Uncompromising Incremental LearnerCode0
Overcoming catastrophic forgetting in neural networksCode1
iCaRL: Incremental Classifier and Representation LearningCode1
Incremental One-Class Models for Data Classification0
A Novel Progressive Multi-label Classifier for Classincremental Data0
Learning without ForgettingCode2
Show:102550
← PrevPage 13 of 13Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1S&B10-stage average accuracy68.18Unverified
2SCR10-stage average accuracy65.98Unverified
3iCaRL10-stage average accuracy63.24Unverified
4LUCIR10-stage average accuracy56.53Unverified
5ABD10-stage average accuracy54.44Unverified
6EWC10-stage average accuracy50.53Unverified
7EMR10-stage average accuracy48.66Unverified
8A-GEM10-stage average accuracy45.76Unverified
#ModelMetricClaimedVerifiedStatus
1PPCA-SWSLFinal Accuracy77.07Unverified
2PPCA-CLIPFinal Accuracy69.71Unverified
#ModelMetricClaimedVerifiedStatus
1PPCA-SWSLFinal Accuracy77.07Unverified
2PPCA-CLIPFinal Accuracy69.71Unverified
#ModelMetricClaimedVerifiedStatus
1SEEDAverage Incremental Accuracy61.7Unverified
#ModelMetricClaimedVerifiedStatus
1SEEDAverage Incremental Accuracy56.2Unverified
#ModelMetricClaimedVerifiedStatus
1SEEDAverage Incremental Accuracy42.6Unverified