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 10511100 of 2644 papers

TitleStatusHype
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and AdaptationCode0
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks0
TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and PromotionCode0
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning0
Continual Learning via Manifold Expansion Replay0
STELLA: Continual Audio-Video Pre-training with Spatio-Temporal Localized Alignment0
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimalityCode1
TRACE: A Comprehensive Benchmark for Continual Learning in Large Language ModelsCode1
InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic PerspectiveCode1
Diagnosing Catastrophe: Large parts of accuracy loss in continual learning can be accounted for by readout misalignment0
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models0
Prompt-augmented Temporal Point Process for Streaming Event SequenceCode1
Building an Open-Vocabulary Video CLIP Model with Better Architectures, Optimization and DataCode1
Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing0
Keep Moving: identifying task-relevant subspaces to maximise plasticity for newly learned tasksCode0
EdgeFD: An Edge-Friendly Drift-Aware Fault Diagnosis System for Industrial IoT0
Saliency-Guided Hidden Associative Replay for Continual LearningCode0
Class-Incremental Learning Using Generative Experience Replay Based on Time-aware Regularization0
Hadamard Domain Training with Integers for Class Incremental Quantized Learning0
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object TrackingCode0
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual LearningCode0
Chunking: Continual Learning is not just about Distribution ShiftCode0
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts0
Adaptive Visual Scene Understanding: Incremental Scene Graph GenerationCode0
Towards guarantees for parameter isolation in continual learning0
All by Myself: Learning Individualized Competitive Behaviour with a Contrastive Reinforcement Learning optimization0
Elephant Neural Networks: Born to Be a Continual Learner0
DataDAM: Efficient Dataset Distillation with Attention MatchingCode1
On the Disconnect Between Theory and Practice of Neural Networks: Limits of the NTK Perspective0
Continual Action Assessment via Task-Consistent Score-Discriminative Feature Distribution ModelingCode1
A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter CollaborationCode0
Primal Dual Continual Learning: Balancing Stability and Plasticity through Adaptive Memory Allocation0
Towards a Unified Framework for Adaptable Problematic Content Detection via Continual LearningCode0
HyperMask: Adaptive Hypernetwork-based Masks for Continual LearningCode0
SCALE: Synergized Collaboration of Asymmetric Language Translation EnginesCode1
E2Net: Resource-Efficient Continual Learning with Elastic Expansion NetworkCode0
Robust Internal Representations for Domain Generalization0
Memory-Efficient Continual Learning Object Segmentation for Long Video0
ConPET: Continual Parameter-Efficient Tuning for Large Language ModelsCode1
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual LearningCode1
Class Incremental Learning via Likelihood Ratio Based Task PredictionCode1
Revisiting Softmax Masking: Stop Gradient for Enhancing Stability in Replay-based Continual Learning0
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual LearningCode1
Rewiring Neurons in Non-Stationary EnvironmentsCode0
Clustering-based Domain-Incremental Learning0
Create and Find Flatness: Building Flat Training Spaces in Advance for Continual LearningCode0
RECALL+: Adversarial Web-based Replay for Continual Learning in Semantic Segmentation0
Self-Sustaining Multiple Access with Continual Deep Reinforcement Learning for Dynamic Metaverse Applications0
Analysis of the Memorization and Generalization Capabilities of AI Agents: Are Continual Learners Robust?0
Looking through the past: better knowledge retention for generative replay in continual learningCode0
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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