SOTAVerified

Continual Learning

Continual Learning (also known as Incremental Learning, Life-long Learning) is a concept to learn a model for a large number of tasks sequentially without forgetting knowledge obtained from the preceding tasks, where the data in the old tasks are not available anymore during training new ones.
If not mentioned, the benchmarks here are Task-CL, where task-id is provided on validation.

Source:
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation
Three scenarios for continual learning
Lifelong Machine Learning
Continual lifelong learning with neural networks: A review

Papers

Showing 301–350 of 2644 papers

TitleStatusHype
Adapter Learning in Pretrained Feature Extractor for Continual Learning of DiseasesCode1
C-COMA: A CONTINUAL REINFORCEMENT LEARNING MODEL FOR DYNAMIC MULTIAGENT ENVIRONMENTSCode1
A multifidelity approach to continual learning for physical systemsCode1
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic SegmentationCode1
A Multi-Head Model for Continual Learning via Out-of-Distribution ReplayCode1
Compacting, Picking and Growing for Unforgetting Continual LearningCode1
Computationally Budgeted Continual Learning: What Does Matter?Code1
BiasPruner: Debiased Continual Learning for Medical Image ClassificationCode1
Compositional Language Continual LearningCode1
Exemplar-free Continual Representation Learning via Learnable Drift CompensationCode1
Bilevel Continual LearningCode1
Conditional Channel Gated Networks for Task-Aware Continual LearningCode1
Consistent Prompting for Rehearsal-Free Continual LearningCode1
ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image AnalysisCode1
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual LearningCode1
Federated Continual Learning with Weighted Inter-client TransferCode1
Continual Action Assessment via Task-Consistent Score-Discriminative Feature Distribution ModelingCode1
FedJudge: Federated Legal Large Language ModelCode1
Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient TuningCode1
BiRT: Bio-inspired Replay in Vision Transformers for Continual LearningCode1
Continual Backprop: Stochastic Gradient Descent with Persistent RandomnessCode1
Continual Domain Adaptation through Pruning-aided Domain-specific Weight ModulationCode1
Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human SupervisionCode1
BOME! Bilevel Optimization Made Easy: A Simple First-Order ApproachCode1
A unifying framework for generalised Bayesian online learning in non-stationary environmentsCode1
Forget-free Continual Learning with Soft-Winning SubNetworksCode1
Model Zoo: A Growing "Brain" That Learns ContinuallyCode1
DataDAM: Efficient Dataset Distillation with Attention MatchingCode1
CTP:Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology PreservationCode1
Continual evaluation for lifelong learning: Identifying the stability gapCode1
Continual Hippocampus Segmentation with TransformersCode1
Continual Learning at the Edge: Real-Time Training on Smartphone DevicesCode1
Gated Integration of Low-Rank Adaptation for Continual Learning of Language ModelsCode1
Continual Learning and Private UnlearningCode1
DAM: Dynamic Adapter Merging for Continual Video QA LearningCode1
Continual Learning, Fast and SlowCode1
Continual Learning for Image Segmentation with Dynamic QueryCode1
Brain-inspired replay for continual learning with artificial neural networksCode1
Continual Learning for Image-Based Camera LocalizationCode1
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic EnvironmentsCode1
An Empirical Investigation of the Role of Pre-training in Lifelong LearningCode1
Continual Learning: Forget-free Winning Subnetworks for Video RepresentationsCode1
Broken Neural Scaling LawsCode1
A Neural Dirichlet Process Mixture Model for Task-Free Continual LearningCode1
A Comprehensive Empirical Evaluation on Online Continual LearningCode1
Building an Open-Vocabulary Video CLIP Model with Better Architectures, Optimization and DataCode1
Building a Scalable and Interpretable Bayesian Deep Learning Framework for Quality Control of Free Form SurfacesCode1
Continual Learning For On-Device Environmental Sound ClassificationCode1
A Neural Span-Based Continual Named Entity Recognition ModelCode1
Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language ModelsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Multi-task Learning (MTL; Upper Bound)F1 - macro0.88—Unverified
2CTRF1 - macro0.84—Unverified
3B-CLF1 - macro0.81—Unverified
4LAMOLF1 - macro0.81—Unverified
5OWMF1 - macro0.79—Unverified
6A-GEMF1 - macro0.78—Unverified
7HATF1 - macro0.78—Unverified
8Independent Learning (ONE)F1 - macro0.78—Unverified
9KANF1 - macro0.77—Unverified
10Naive Continual Learning (NCL)F1 - macro0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1NetTailordecathlon discipline (Score)3,744—Unverified
2Depthwise Soft Sharingdecathlon discipline (Score)3,507—Unverified
3Parallel Res. adapt.decathlon discipline (Score)3,412—Unverified
4Depthwise Sharingdecathlon discipline (Score)3,234—Unverified
5Series Res. adapt.decathlon discipline (Score)3,159—Unverified
6Res. adapt. (large)decathlon discipline (Score)3,131—Unverified
7DANdecathlon discipline (Score)2,851—Unverified
8Piggybackdecathlon discipline (Score)2,838—Unverified
9Res. adapt. finetune alldecathlon discipline (Score)2,643—Unverified
10Res. adapt. decaydecathlon discipline (Score)2,621—Unverified
#ModelMetricClaimedVerifiedStatus
1Model Zoo-ContinualAverage Accuracy94.99—Unverified
2ALTAAverage Accuracy92.98—Unverified
3kNN-CLIPAverage Accuracy90.8—Unverified
4RMNAverage Accuracy81—Unverified
5CPGAverage Accuracy80.9—Unverified
6CondConvContinualAverage Accuracy77.4—Unverified
7PAENetAverage Accuracy77.1—Unverified
8CPG-lightAverage Accuracy77—Unverified
9PackNetAverage Accuracy67.5—Unverified
#ModelMetricClaimedVerifiedStatus
1ALTA-ViTB/16Average Accuracy89.8—Unverified
2ALTA-RN50x4Average Accuracy84.73—Unverified
3ALTA-RN101Average Accuracy83.35—Unverified
4ALTA-RN50Average Accuracy81.07—Unverified
5SNCLAverage Accuracy52.85—Unverified
6DER [buzzega2020dark]Average Accuracy51.78—Unverified
7ER[riemer2018learning]Average Accuracy48.64—Unverified
8iCaRL [rebuffi2017icarl]Average Accuracy31.55—Unverified
9A-GEM [chaudhry2018efficient]Average Accuracy25.33—Unverified
#ModelMetricClaimedVerifiedStatus
1CAT (CNN backbone)Acc0.76—Unverified
2CAT (MLP backbone)Acc0.69—Unverified
3EWCAcc0.65—Unverified
4HyperNetAcc0.6—Unverified
5PathNetAcc0.58—Unverified
6HATAcc0.57—Unverified
7RPSNetAcc0.55—Unverified
#ModelMetricClaimedVerifiedStatus
1CTRF1 - macro0.95—Unverified
2HATF1 - macro0.95—Unverified
3CATF1 - macro0.95—Unverified
4B-CLF1 - macro0.95—Unverified
5EWCF1 - macro0.92—Unverified
6LAMOLF1 - macro0.46—Unverified
#ModelMetricClaimedVerifiedStatus
1CondConvContinualAccuracy84.26—Unverified
2H$^{2}$Accuracy84.1—Unverified
3CPGAccuracy83.59—Unverified
4PiggybackAccuracy80.5—Unverified
5PackNetAccuracy80.41—Unverified
6ProgressiveNetAccuracy78.94—Unverified
#ModelMetricClaimedVerifiedStatus
1CTRF1 - macro0.89—Unverified
2CATF1 - macro0.87—Unverified
3HATF1 - macro0.86—Unverified
4KANF1 - macro0.81—Unverified
5B-CLF1 - macro0.77—Unverified
6EWCF1 - macro0.66—Unverified
#ModelMetricClaimedVerifiedStatus
1CondConvContinualAccuracy97.16—Unverified
2CPGAccuracy96.62—Unverified
3H$^{2}$Accuracy94.9—Unverified
4PiggybackAccuracy94.77—Unverified
5ProgressiveNetAccuracy93.41—Unverified
6PackNetAccuracy93.04—Unverified
#ModelMetricClaimedVerifiedStatus
1PiggybackAccuracy76.16—Unverified
2ProgressiveNetAccuracy76.16—Unverified
3CondConvContinualAccuracy76.16—Unverified
4CPGAccuracy75.81—Unverified
5PackNetAccuracy75.71—Unverified
6H$^{2}$Accuracy75.71—Unverified
#ModelMetricClaimedVerifiedStatus
1CondConvContinualAccuracy80.77—Unverified
2CPGAccuracy80.33—Unverified
3PiggybackAccuracy79.91—Unverified
4ProgressiveNetAccuracy76.35—Unverified
5H$^{2}$Accuracy76.2—Unverified
6PackNetAccuracy76.17—Unverified
#ModelMetricClaimedVerifiedStatus
1CPGAccuracy92.8—Unverified
2CondConvContinualAccuracy92.61—Unverified
3H$^{2}$Accuracy90.6—Unverified
4PiggybackAccuracy89.62—Unverified
5ProgressiveNetAccuracy89.21—Unverified
6PackNetAccuracy86.11—Unverified
#ModelMetricClaimedVerifiedStatus
1CondConvContinualAccuracy78.32—Unverified
2CPGAccuracy77.15—Unverified
3H$^{2}$Accuracy75.1—Unverified
4ProgressiveNetAccuracy74.94—Unverified
5PiggybackAccuracy71.33—Unverified
6PackNetAccuracy69.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ALTA-ViTB/16Average Accuracy92.85—Unverified
2ALTA-RN50x4Average Accuracy84.91—Unverified
3RMN (Resnet)Average Accuracy84.9—Unverified
4ALTA-RN101Average Accuracy84.77—Unverified
5ALTA-RN50Average Accuracy83.87—Unverified
#ModelMetricClaimedVerifiedStatus
1RMNAccuracy68.1—Unverified
2CondConvContinualAccuracy61.32—Unverified
3CCGNAccuracy35.24—Unverified
4DGMwAccuracy17.82—Unverified
5DGMaAccuracy15.16—Unverified
#ModelMetricClaimedVerifiedStatus
1RMNAverage Accuracy97.99—Unverified
2Model Zoo-ContinualAverage Accuracy97.71—Unverified
3CODE-CLAverage Accuracy96.56—Unverified
#ModelMetricClaimedVerifiedStatus
1TAG-RMSPropAccuracy62.59—Unverified
#ModelMetricClaimedVerifiedStatus
1CODE-CLAverage Accuracy93.32—Unverified
#ModelMetricClaimedVerifiedStatus
1TEST1:3 Accuracy2—Unverified
#ModelMetricClaimedVerifiedStatus
1TAG-RMSPropAverage Accuracy62.79—Unverified
#ModelMetricClaimedVerifiedStatus
1IBMAccuracy82.69—Unverified
#ModelMetricClaimedVerifiedStatus
1IBMAccuracy88.15—Unverified
#ModelMetricClaimedVerifiedStatus
1Model Zoo-ContinualAverage Accuracy84.27—Unverified
#ModelMetricClaimedVerifiedStatus
1TAG-RMSPropAccuracy61.58—Unverified
#ModelMetricClaimedVerifiedStatus
1CODE-CLAverage Accuracy68.83—Unverified
#ModelMetricClaimedVerifiedStatus
1TAG-RMSPropAccuracy57.2—Unverified
#ModelMetricClaimedVerifiedStatus
1IBMAccuracy53.9—Unverified
#ModelMetricClaimedVerifiedStatus
1MRMAcc78.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Model Zoo-ContinualAverage Accuracy99.66—Unverified
#ModelMetricClaimedVerifiedStatus
1CODE-CLAverage Accuracy77.21—Unverified
#ModelMetricClaimedVerifiedStatus
1H$^{2}$Top 1 Accuracy %97.3—Unverified
#ModelMetricClaimedVerifiedStatus
1H$^{2}$Top 1 Accuracy %99.9—Unverified
#ModelMetricClaimedVerifiedStatus
1IBMAccuracy52.38—Unverified