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 14011450 of 2644 papers

TitleStatusHype
CND-IDS: Continual Novelty Detection for Intrusion Detection Systems0
Incremental Knowledge Tracing from Multiple Schools0
Incremental Learning from Low-labelled Stream Data in Open-Set Video Face Recognition0
Incremental Learning Through Deep Adaptation0
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model0
Continual Learning of New Sound Classes using Generative Replay0
Incremental Online Learning Algorithms Comparison for Gesture and Visual Smart Sensors0
Incremental Reading for Question Answering0
Unsupervised Replay Strategies for Continual Learning with Limited Data0
In Defense of the Learning Without Forgetting for Task Incremental Learning0
Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning0
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks0
CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models0
CMFDFormer: Transformer-based Copy-Move Forgery Detection with Continual Learning0
Information-Theoretic Dual Memory System for Continual Learning0
Information-Theoretic Generalization Bounds of Replay-based Continual Learning0
Information-theoretic Online Memory Selection for Continual Learning0
Informed Priors for Knowledge Integration in Trajectory Prediction0
Informed Spectral Normalized Gaussian Processes for Trajectory Prediction0
In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory0
InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions0
CM2-Net: Continual Cross-Modal Mapping Network for Driver Action Recognition0
Instance and Category Supervision are Alternate Learners for Continual Learning0
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning0
Instant Continual Learning of Neural Radiance Fields0
Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models0
Integral Continual Learning Along the Tangent Vector Field of Tasks0
SynthASR: Unlocking Synthetic Data for Speech Recognition0
Synthetic Data as Validation0
Synthetic Data is an Elegant GIFT for Continual Vision-Language Models0
Interactions between Representation Learning and Supervision0
Interactive Continual Learning Architecture for Long-Term Personalization of Home Service Robots0
Clustering-based Domain-Incremental Learning0
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games0
Interactive Visual Task Learning for Robots0
Interpolating Compressed Parameter Subspaces0
Interpretable Continual Learning0
CL-Splats: Continual Learning of Gaussian Splatting with Local Optimization0
Ada-QPacknet -- adaptive pruning with bit width reduction as an efficient continual learning method without forgetting0
Investigating Continual Pretraining in Large Language Models: Insights and Implications0
Investigating Forgetting in Pre-Trained Representations Through Continual Learning0
Investigating Plausibility of Biologically Inspired Bayesian Learning in ANNs0
Investigating the Impact of Weight Sharing Decisions on Knowledge Transfer in Continual Learning0
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse0
IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object Recognition Report0
Tackling Online One-Class Incremental Learning by Removing Negative Contrasts0
Is Class-Incremental Enough for Continual Learning?0
Is Continual Learning Ready for Real-world Challenges?0
Towards Diverse Evaluation of Class Incremental Learning: A Representation Learning Perspective0
CLOVA: A Closed-Loop Visual Assistant with Tool Usage and Update0
Show:102550
← PrevPage 29 of 53Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Multi-task Learning (MTL; Upper Bound)F1 - macro0.88Unverified
2CTRF1 - macro0.84Unverified
3B-CLF1 - macro0.81Unverified
4LAMOLF1 - macro0.81Unverified
5OWMF1 - macro0.79Unverified
6A-GEMF1 - macro0.78Unverified
7HATF1 - macro0.78Unverified
8Independent Learning (ONE)F1 - macro0.78Unverified
9KANF1 - macro0.77Unverified
10Naive Continual Learning (NCL)F1 - macro0.77Unverified
#ModelMetricClaimedVerifiedStatus
1NetTailordecathlon discipline (Score)3,744Unverified
2Depthwise Soft Sharingdecathlon discipline (Score)3,507Unverified
3Parallel Res. adapt.decathlon discipline (Score)3,412Unverified
4Depthwise Sharingdecathlon discipline (Score)3,234Unverified
5Series Res. adapt.decathlon discipline (Score)3,159Unverified
6Res. adapt. (large)decathlon discipline (Score)3,131Unverified
7DANdecathlon discipline (Score)2,851Unverified
8Piggybackdecathlon discipline (Score)2,838Unverified
9Res. adapt. finetune alldecathlon discipline (Score)2,643Unverified
10Res. adapt. decaydecathlon discipline (Score)2,621Unverified
#ModelMetricClaimedVerifiedStatus
1Model Zoo-ContinualAverage Accuracy94.99Unverified
2ALTAAverage Accuracy92.98Unverified
3kNN-CLIPAverage Accuracy90.8Unverified
4RMNAverage Accuracy81Unverified
5CPGAverage Accuracy80.9Unverified
6CondConvContinualAverage Accuracy77.4Unverified
7PAENetAverage Accuracy77.1Unverified
8CPG-lightAverage Accuracy77Unverified
9PackNetAverage Accuracy67.5Unverified
#ModelMetricClaimedVerifiedStatus
1ALTA-ViTB/16Average Accuracy89.8Unverified
2ALTA-RN50x4Average Accuracy84.73Unverified
3ALTA-RN101Average Accuracy83.35Unverified
4ALTA-RN50Average Accuracy81.07Unverified
5SNCLAverage Accuracy52.85Unverified
6DER [buzzega2020dark]Average Accuracy51.78Unverified
7ER[riemer2018learning]Average Accuracy48.64Unverified
8iCaRL [rebuffi2017icarl]Average Accuracy31.55Unverified
9A-GEM [chaudhry2018efficient]Average Accuracy25.33Unverified
#ModelMetricClaimedVerifiedStatus
1CAT (CNN backbone)Acc0.76Unverified
2CAT (MLP backbone)Acc0.69Unverified
3EWCAcc0.65Unverified
4HyperNetAcc0.6Unverified
5PathNetAcc0.58Unverified
6HATAcc0.57Unverified
7RPSNetAcc0.55Unverified
#ModelMetricClaimedVerifiedStatus
1CTRF1 - macro0.95Unverified
2HATF1 - macro0.95Unverified
3CATF1 - macro0.95Unverified
4B-CLF1 - macro0.95Unverified
5EWCF1 - macro0.92Unverified
6LAMOLF1 - macro0.46Unverified
#ModelMetricClaimedVerifiedStatus
1CondConvContinualAccuracy84.26Unverified
2H$^{2}$Accuracy84.1Unverified
3CPGAccuracy83.59Unverified
4PiggybackAccuracy80.5Unverified
5PackNetAccuracy80.41Unverified
6ProgressiveNetAccuracy78.94Unverified
#ModelMetricClaimedVerifiedStatus
1CTRF1 - macro0.89Unverified
2CATF1 - macro0.87Unverified
3HATF1 - macro0.86Unverified
4KANF1 - macro0.81Unverified
5B-CLF1 - macro0.77Unverified
6EWCF1 - macro0.66Unverified
#ModelMetricClaimedVerifiedStatus
1CondConvContinualAccuracy97.16Unverified
2CPGAccuracy96.62Unverified
3H$^{2}$Accuracy94.9Unverified
4PiggybackAccuracy94.77Unverified
5ProgressiveNetAccuracy93.41Unverified
6PackNetAccuracy93.04Unverified
#ModelMetricClaimedVerifiedStatus
1PiggybackAccuracy76.16Unverified
2ProgressiveNetAccuracy76.16Unverified
3CondConvContinualAccuracy76.16Unverified
4CPGAccuracy75.81Unverified
5PackNetAccuracy75.71Unverified
6H$^{2}$Accuracy75.71Unverified
#ModelMetricClaimedVerifiedStatus
1CondConvContinualAccuracy80.77Unverified
2CPGAccuracy80.33Unverified
3PiggybackAccuracy79.91Unverified
4ProgressiveNetAccuracy76.35Unverified
5H$^{2}$Accuracy76.2Unverified
6PackNetAccuracy76.17Unverified
#ModelMetricClaimedVerifiedStatus
1CPGAccuracy92.8Unverified
2CondConvContinualAccuracy92.61Unverified
3H$^{2}$Accuracy90.6Unverified
4PiggybackAccuracy89.62Unverified
5ProgressiveNetAccuracy89.21Unverified
6PackNetAccuracy86.11Unverified
#ModelMetricClaimedVerifiedStatus
1CondConvContinualAccuracy78.32Unverified
2CPGAccuracy77.15Unverified
3H$^{2}$Accuracy75.1Unverified
4ProgressiveNetAccuracy74.94Unverified
5PiggybackAccuracy71.33Unverified
6PackNetAccuracy69.4Unverified
#ModelMetricClaimedVerifiedStatus
1ALTA-ViTB/16Average Accuracy92.85Unverified
2ALTA-RN50x4Average Accuracy84.91Unverified
3RMN (Resnet)Average Accuracy84.9Unverified
4ALTA-RN101Average Accuracy84.77Unverified
5ALTA-RN50Average Accuracy83.87Unverified
#ModelMetricClaimedVerifiedStatus
1RMNAccuracy68.1Unverified
2CondConvContinualAccuracy61.32Unverified
3CCGNAccuracy35.24Unverified
4DGMwAccuracy17.82Unverified
5DGMaAccuracy15.16Unverified
#ModelMetricClaimedVerifiedStatus
1RMNAverage Accuracy97.99Unverified
2Model Zoo-ContinualAverage Accuracy97.71Unverified
3CODE-CLAverage Accuracy96.56Unverified
#ModelMetricClaimedVerifiedStatus
1TAG-RMSPropAccuracy62.59Unverified
#ModelMetricClaimedVerifiedStatus
1CODE-CLAverage Accuracy93.32Unverified
#ModelMetricClaimedVerifiedStatus
1TEST1:3 Accuracy2Unverified
#ModelMetricClaimedVerifiedStatus
1TAG-RMSPropAverage Accuracy62.79Unverified
#ModelMetricClaimedVerifiedStatus
1IBMAccuracy82.69Unverified
#ModelMetricClaimedVerifiedStatus
1IBMAccuracy88.15Unverified
#ModelMetricClaimedVerifiedStatus
1Model Zoo-ContinualAverage Accuracy84.27Unverified
#ModelMetricClaimedVerifiedStatus
1TAG-RMSPropAccuracy61.58Unverified
#ModelMetricClaimedVerifiedStatus
1CODE-CLAverage Accuracy68.83Unverified
#ModelMetricClaimedVerifiedStatus
1TAG-RMSPropAccuracy57.2Unverified
#ModelMetricClaimedVerifiedStatus
1IBMAccuracy53.9Unverified
#ModelMetricClaimedVerifiedStatus
1MRMAcc78.4Unverified
#ModelMetricClaimedVerifiedStatus
1Model Zoo-ContinualAverage Accuracy99.66Unverified
#ModelMetricClaimedVerifiedStatus
1CODE-CLAverage Accuracy77.21Unverified
#ModelMetricClaimedVerifiedStatus
1H$^{2}$Top 1 Accuracy %97.3Unverified
#ModelMetricClaimedVerifiedStatus
1H$^{2}$Top 1 Accuracy %99.9Unverified
#ModelMetricClaimedVerifiedStatus
1IBMAccuracy52.38Unverified