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
A simple but strong baseline for online continual learning: Repeated Augmented RehearsalCode1
Exploring Example Influence in Continual LearningCode1
Learning from Students: Online Contrastive Distillation Network for General Continual LearningCode1
SparCL: Sparse Continual Learning on the EdgeCode1
BOME! Bilevel Optimization Made Easy: A Simple First-Order ApproachCode1
On the Effectiveness of Compact Biomedical TransformersCode1
Continual Learning, Fast and SlowCode1
Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA TaskCode1
A Multi-Head Model for Continual Learning via Out-of-Distribution ReplayCode1
On the Limitations of Continual Learning for Malware ClassificationCode1
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental LearningCode1
Lifelong Machine Learning of Functionally Compositional StructuresCode1
D3Former: Debiased Dual Distilled Transformer for Incremental LearningCode1
Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed EdgesCode1
Continual Variational Autoencoder Learning via Online Cooperative MemorizationCode1
Hardware-agnostic Computation for Large-scale Knowledge Graph EmbeddingsCode1
Improving Task-free Continual Learning by Distributionally Robust Memory EvolutionCode1
Continual Learning For On-Device Environmental Sound ClassificationCode1
CoSCL: Cooperation of Small Continual Learners is Stronger than a Big OneCode1
Forget-free Continual Learning with Winning SubnetworksCode1
Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human SupervisionCode1
NERDA-Con: Extending NER models for Continual Learning -- Integrating Distinct Tasks and Updating Distribution ShiftsCode1
NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse NetworksCode1
CLiMB: A Continual Learning Benchmark for Vision-and-Language TasksCode1
Remember the Past: Distilling Datasets into Addressable Memories for Neural NetworksCode1
Transfer without ForgettingCode1
Label-Efficient Online Continual Object Detection in Streaming VideoCode1
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming ChallengesCode1
Continual evaluation for lifelong learning: Identifying the stability gapCode1
Continual Learning for Visual Search with Backward Consistent Feature EmbeddingCode1
Fine-tuned Language Models are Continual LearnersCode1
Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representationsCode1
Towards a Defense Against Federated Backdoor Attacks Under Continuous TrainingCode1
Fine-Grained Visual Classification using Self Assessment ClassifierCode1
Continual Pre-Training Mitigates Forgetting in Language and VisionCode1
Learning Representations for New Sound Classes With Continual Self-Supervised LearningCode1
A Continual Deepfake Detection Benchmark: Dataset, Methods, and EssentialsCode1
ProQA: Structural Prompt-based Pre-training for Unified Question AnsweringCode1
Continual Object Detection via Prototypical Task Correlation Guided Gating MechanismCode1
Engineering flexible machine learning systems by traversing functionally-invariant pathsCode1
Continual Learning with Foundation Models: An Empirical Study of Latent ReplayCode1
TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language ModelsCode1
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic SegmentationCode1
CNLL: A Semi-supervised Approach For Continual Noisy Label LearningCode1
Continual Hippocampus Segmentation with TransformersCode1
Continual Predictive Learning from VideosCode1
LifeLonger: A Benchmark for Continual Disease ClassificationCode1
Continual Normalization: Rethinking Batch Normalization for Online Continual LearningCode1
Online Continual Learning on a Contaminated Data Stream with Blurry Task BoundariesCode1
Continual Learning and Private UnlearningCode1
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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