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 24012450 of 2644 papers

TitleStatusHype
Multilayer Neuromodulated Architectures for Memory-Constrained Online Continual Learning0
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition and Selective Transfer0
Self-Supervised Learning Aided Class-Incremental Lifelong Learning0
Continual Learning for Affective Computing0
Optimal Continual Learning has Perfect Memory and is NP-hard0
Continual Representation Learning for Biometric IdentificationCode0
Efficient Architecture Search for Continual Learning0
Brain-inspired global-local learning incorporated with neuromorphic computing0
Continual Learning of Predictive Models in Video Sequences via Variational Autoencoders0
Prediction error-driven memory consolidation for continual learning. On the case of adaptive greenhouse models0
Continual Learning Using Multi-view Task Conditional Neural Networks0
Generative Feature Replay with Orthogonal Weight Modification for Continual Learning0
Incremental Few-Shot Object Detection for Robotics0
Spatio-Temporal Event Segmentation and Localization for Wildlife Extended Videos0
Explaining How Deep Neural Networks Forget by Deep VisualizationCode0
Continual Learning with Bayesian Neural Networks for Non-Stationary Data0
Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models via Continual Learning0
IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object Recognition Report0
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors0
Explainable Goal-Driven Agents and Robots -- A Comprehensive Review0
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning0
CLOPS: Continual Learning of Physiological Signals0
Continual Learning with Extended Kronecker-factored Approximate Curvature0
Continual Learning for Anomaly Detection in Surveillance Videos0
Hidden Markov Neural Networks0
CALM: Continuous Adaptive Learning for Language Modeling0
Evaluating Online Continual Learning with CALMCode0
Continual Domain-Tuning for Pretrained Language Models0
Towards Lifelong Self-Supervision For Unpaired Image-to-Image TranslationCode0
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization0
Action Localization through Continual Predictive Learning0
Online Continual Learning on Sequences0
Triple Memory Networks: a Brain-Inspired Method for Continual LearningCode0
Metaplasticity in Multistate Memristor Synaptic Networks0
Using Hindsight to Anchor Past Knowledge in Continual Learning0
Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks0
Residual Continual LearningCode0
Adapting to Unseen Environments through Explicit Representation of Context0
SPACE: Structured Compression and Sharing of Representational Space for Continual LearningCode0
What's a Good Prediction? Challenges in evaluating an agent's knowledge0
Ternary Feature Masks: zero-forgetting for task-incremental learning0
Continual Learning for Domain Adaptation in Chest X-ray Classification0
Dissecting Catastrophic Forgetting in Continual Learning by Deep VisualizationCode0
Human Action Recognition and Assessment via Deep Neural Network Self-Organization0
Online Continual Learning from Imbalanced Data0
Attacking Lifelong Learning Models with Gradient Reversion0
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversionCode0
Direction Concentration Learning: Enhancing Congruency in Machine LearningCode0
Reducing Catastrophic Forgetting in Modular Neural Networks by Dynamic Information Balancing0
How to Evaluate the Next System: Automatic Dialogue Evaluation from the Perspective of Continual Learning0
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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
1ProgressiveNetAccuracy76.16Unverified
2PiggybackAccuracy76.16Unverified
3CondConvContinualAccuracy76.16Unverified
4CPGAccuracy75.81Unverified
5H$^{2}$Accuracy75.71Unverified
6PackNetAccuracy75.71Unverified
#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