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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1301–1350 of 2644 papers

Title	Date	Tasks	Status
Continual Learning on Graphs: A Survey	Feb 9, 2024	Continual LearningGraph Learning	—Unverified
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery	Feb 8, 2024	Continual LearningContinual Semantic Segmentation	CodeCode Available
Continual Domain Adversarial Adaptation via Double-Head Discriminators	Feb 5, 2024	Continual LearningDomain Adaptation	—Unverified
Continual Learning for Large Language Models: A Survey	Feb 2, 2024	Continual LearningContinual Pretraining	—Unverified
From Words to Molecules: A Survey of Large Language Models in Chemistry	Feb 2, 2024	Continual Learning	—Unverified
Class incremental learning with probability dampening and cascaded gated classifier	Feb 2, 2024	class-incremental learningClass Incremental Learning	CodeCode Available
CORE: Mitigating Catastrophic Forgetting in Continual Learning through Cognitive Replay	Feb 2, 2024	Continual Learning	CodeCode Available
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI	Feb 1, 2024	Continual LearningDeep Learning	—Unverified
Multiple Integration Model for Single-source Domain Generalizable Person Re-identification	Feb 1, 2024	Continual LearningGeneralizable Person Re-identification	—Unverified
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition	Jan 31, 2024	Action RecognitionBenchmarking	—Unverified
Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replay	Jan 31, 2024	Continual LearningDomain Adaptation	CodeCode Available
Augmenting Replay in World Models for Continual Reinforcement Learning	Jan 30, 2024	Continual LearningModel-based Reinforcement Learning	CodeCode Available
Step-size Optimization for Continual Learning	Jan 30, 2024	Continual Learning	—Unverified
EdgeOL: Efficient in-situ Online Learning on Edge Devices	Jan 30, 2024	Continual LearningObject Recognition	—Unverified
Sample Weight Estimation Using Meta-Updates for Online Continual Learning	Jan 29, 2024	Continual LearningMeta-Learning	CodeCode Available
Dynamic Transformer Architecture for Continual Learning of Multimodal Tasks	Jan 27, 2024	Continual LearningEdge-computing	—Unverified
Emulating Complex Synapses Using Interlinked Proton Conductors	Jan 26, 2024	Continual Learning	—Unverified
Improving conversion rate prediction via self-supervised pre-training in online advertising	Jan 25, 2024	Continual Learning	—Unverified
Topology-aware Embedding Memory for Continual Learning on Expanding Networks	Jan 24, 2024	Continual Learning	CodeCode Available
Locality Sensitive Sparse Encoding for Learning World Models Online	Jan 23, 2024	Continual LearningModel-based Reinforcement Learning	—Unverified
The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting -- An Analytical Model	Jan 23, 2024	Continual Learningregression	—Unverified
INCPrompt: Task-Aware incremental Prompting for Rehearsal-Free Class-incremental Learning	Jan 22, 2024	class-incremental learningClass Incremental Learning	—Unverified
Detecting Out-of-Distribution Samples via Conditional Distribution Entropy with Optimal Transport	Jan 22, 2024	Continual Learning	—Unverified
Hierarchical Prompts for Rehearsal-free Continual Learning	Jan 21, 2024	Continual Learning	—Unverified
Towards Open-World Gesture Recognition	Jan 20, 2024	Continual LearningGesture Recognition	—Unverified
Self-training from Self-memory in Data-to-text Generation	Jan 19, 2024	Continual LearningData-to-Text Generation	CodeCode Available
Divide and not forget: Ensemble of selectively trained experts in Continual Learning	Jan 18, 2024	class-incremental learningClass Incremental Learning	CodeCode Available
Natural Mitigation of Catastrophic Interference: Continual Learning in Power-Law Learning Environments	Jan 18, 2024	Continual Learning	—Unverified
Enabling On-device Continual Learning with Binary Neural Networks	Jan 18, 2024	Continual LearningQuantization	—Unverified
CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation	Jan 17, 2024	Continual LearningDomain Adaptation	CodeCode Available
Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding	Jan 17, 2024	Continual Learning	—Unverified
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models	Jan 16, 2024	Continual LearningTransfer Learning	—Unverified
CPPO: Continual Learning for Reinforcement Learning with Human Feedback	Jan 16, 2024	Continual Learningreinforcement-learning	—Unverified
Decentralised Emergence of Robust and Adaptive Linguistic Conventions in Populations of Autonomous Agents Grounded in Continuous Worlds	Jan 16, 2024	Continual Learning	—Unverified
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning	Jan 12, 2024	class-incremental learningClass Incremental Learning	—Unverified
EsaCL: Efficient Continual Learning of Sparse Models	Jan 11, 2024	Continual Learning	—Unverified
Continuously Learning New Words in Automatic Speech Recognition	Jan 9, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Topology-aware Graph Coarsening Framework for Continual Graph Learning	Jan 5, 2024	Continual LearningGraph Learning	—Unverified
Balancing Continual Learning and Fine-tuning for Human Activity Recognition	Jan 4, 2024	Activity RecognitionContinual Learning	—Unverified
GLIDE-RL: Grounded Language Instruction through DEmonstration in RL	Jan 3, 2024	Continual Learningreinforcement-learning	—Unverified
Elastic Multi-Gradient Descent for Parallel Continual Learning	Jan 2, 2024	Continual Learning	—Unverified
Uncertainty-Guided Never-Ending Learning to Drive	Jan 1, 2024	Autonomous DrivingContinual Learning	—Unverified
Continual Learning for Motion Prediction Model via Meta-Representation Learning and Optimal Memory Buffer Retention Strategy	Jan 1, 2024	Autonomous DrivingAutonomous Vehicles	—Unverified
RCL: Reliable Continual Learning for Unified Failure Detection	Jan 1, 2024	Continual LearningDecision Making	CodeCode Available
Effect of Optimizer, Initializer, and Architecture of Hypernetworks on Continual Learning from Demonstration	Dec 31, 2023	Continual Learning	CodeCode Available
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects	Dec 28, 2023	Continual LearningMedical Image Analysis	—Unverified
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning	Dec 27, 2023	Continual Learninggraph construction	CodeCode Available
Federated Continual Learning via Knowledge Fusion: A Survey	Dec 27, 2023	Continual LearningFederated Learning	—Unverified
Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization	Dec 27, 2023	ClassificationContinual Learning	CodeCode Available
An Incremental Update Framework for Online Recommenders with Data-Driven Prior	Dec 26, 2023	Continual Learning	—Unverified

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All datasets ASC (19 tasks)visual domain decathlon (10 tasks)Cifar100 (20 tasks)Tiny-ImageNet (10tasks)F-CelebA (10 tasks)20Newsgroup (10 tasks)CUBS (Fine-grained 6 Tasks)DSC (10 tasks)Flowers (Fine-grained 6 Tasks)ImageNet (Fine-grained 6 Tasks)Sketch (Fine-grained 6 Tasks)Stanford Cars (Fine-grained 6 Tasks)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Multi-task Learning (MTL; Upper Bound)	F1 - macro	0.88	—	Unverified
2	CTR	F1 - macro	0.84	—	Unverified
3	B-CL	F1 - macro	0.81	—	Unverified
4	LAMOL	F1 - macro	0.81	—	Unverified
5	OWM	F1 - macro	0.79	—	Unverified
6	A-GEM	F1 - macro	0.78	—	Unverified
7	HAT	F1 - macro	0.78	—	Unverified
8	Independent Learning (ONE)	F1 - macro	0.78	—	Unverified
9	KAN	F1 - macro	0.77	—	Unverified
10	Naive Continual Learning (NCL)	F1 - macro	0.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	NetTailor	decathlon discipline (Score)	3,744	—	Unverified
2	Depthwise Soft Sharing	decathlon discipline (Score)	3,507	—	Unverified
3	Parallel Res. adapt.	decathlon discipline (Score)	3,412	—	Unverified
4	Depthwise Sharing	decathlon discipline (Score)	3,234	—	Unverified
5	Series Res. adapt.	decathlon discipline (Score)	3,159	—	Unverified
6	Res. adapt. (large)	decathlon discipline (Score)	3,131	—	Unverified
7	DAN	decathlon discipline (Score)	2,851	—	Unverified
8	Piggyback	decathlon discipline (Score)	2,838	—	Unverified
9	Res. adapt. finetune all	decathlon discipline (Score)	2,643	—	Unverified
10	Res. adapt. decay	decathlon discipline (Score)	2,621	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Model Zoo-Continual	Average Accuracy	94.99	—	Unverified
2	ALTA	Average Accuracy	92.98	—	Unverified
3	kNN-CLIP	Average Accuracy	90.8	—	Unverified
4	RMN	Average Accuracy	81	—	Unverified
5	CPG	Average Accuracy	80.9	—	Unverified
6	CondConvContinual	Average Accuracy	77.4	—	Unverified
7	PAENet	Average Accuracy	77.1	—	Unverified
8	CPG-light	Average Accuracy	77	—	Unverified
9	PackNet	Average Accuracy	67.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ALTA-ViTB/16	Average Accuracy	89.8	—	Unverified
2	ALTA-RN50x4	Average Accuracy	84.73	—	Unverified
3	ALTA-RN101	Average Accuracy	83.35	—	Unverified
4	ALTA-RN50	Average Accuracy	81.07	—	Unverified
5	SNCL	Average Accuracy	52.85	—	Unverified
6	DER [buzzega2020dark]	Average Accuracy	51.78	—	Unverified
7	ER[riemer2018learning]	Average Accuracy	48.64	—	Unverified
8	iCaRL [rebuffi2017icarl]	Average Accuracy	31.55	—	Unverified
9	A-GEM [chaudhry2018efficient]	Average Accuracy	25.33	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CAT (CNN backbone)	Acc	0.76	—	Unverified
2	CAT (MLP backbone)	Acc	0.69	—	Unverified
3	EWC	Acc	0.65	—	Unverified
4	HyperNet	Acc	0.6	—	Unverified
5	PathNet	Acc	0.58	—	Unverified
6	HAT	Acc	0.57	—	Unverified
7	RPSNet	Acc	0.55	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CTR	F1 - macro	0.95	—	Unverified
2	HAT	F1 - macro	0.95	—	Unverified
3	CAT	F1 - macro	0.95	—	Unverified
4	B-CL	F1 - macro	0.95	—	Unverified
5	EWC	F1 - macro	0.92	—	Unverified
6	LAMOL	F1 - macro	0.46	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CondConvContinual	Accuracy	84.26	—	Unverified
2	H$^{2}$	Accuracy	84.1	—	Unverified
3	CPG	Accuracy	83.59	—	Unverified
4	Piggyback	Accuracy	80.5	—	Unverified
5	PackNet	Accuracy	80.41	—	Unverified
6	ProgressiveNet	Accuracy	78.94	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CTR	F1 - macro	0.89	—	Unverified
2	CAT	F1 - macro	0.87	—	Unverified
3	HAT	F1 - macro	0.86	—	Unverified
4	KAN	F1 - macro	0.81	—	Unverified
5	B-CL	F1 - macro	0.77	—	Unverified
6	EWC	F1 - macro	0.66	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CondConvContinual	Accuracy	97.16	—	Unverified
2	CPG	Accuracy	96.62	—	Unverified
3	H$^{2}$	Accuracy	94.9	—	Unverified
4	Piggyback	Accuracy	94.77	—	Unverified
5	ProgressiveNet	Accuracy	93.41	—	Unverified
6	PackNet	Accuracy	93.04	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ProgressiveNet	Accuracy	76.16	—	Unverified
2	Piggyback	Accuracy	76.16	—	Unverified
3	CondConvContinual	Accuracy	76.16	—	Unverified
4	CPG	Accuracy	75.81	—	Unverified
5	H$^{2}$	Accuracy	75.71	—	Unverified
6	PackNet	Accuracy	75.71	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CondConvContinual	Accuracy	80.77	—	Unverified
2	CPG	Accuracy	80.33	—	Unverified
3	Piggyback	Accuracy	79.91	—	Unverified
4	ProgressiveNet	Accuracy	76.35	—	Unverified
5	H$^{2}$	Accuracy	76.2	—	Unverified
6	PackNet	Accuracy	76.17	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CPG	Accuracy	92.8	—	Unverified
2	CondConvContinual	Accuracy	92.61	—	Unverified
3	H$^{2}$	Accuracy	90.6	—	Unverified
4	Piggyback	Accuracy	89.62	—	Unverified
5	ProgressiveNet	Accuracy	89.21	—	Unverified
6	PackNet	Accuracy	86.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CondConvContinual	Accuracy	78.32	—	Unverified
2	CPG	Accuracy	77.15	—	Unverified
3	H$^{2}$	Accuracy	75.1	—	Unverified
4	ProgressiveNet	Accuracy	74.94	—	Unverified
5	Piggyback	Accuracy	71.33	—	Unverified
6	PackNet	Accuracy	69.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ALTA-ViTB/16	Average Accuracy	92.85	—	Unverified
2	ALTA-RN50x4	Average Accuracy	84.91	—	Unverified
3	RMN (Resnet)	Average Accuracy	84.9	—	Unverified
4	ALTA-RN101	Average Accuracy	84.77	—	Unverified
5	ALTA-RN50	Average Accuracy	83.87	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RMN	Accuracy	68.1	—	Unverified
2	CondConvContinual	Accuracy	61.32	—	Unverified
3	CCGN	Accuracy	35.24	—	Unverified
4	DGMw	Accuracy	17.82	—	Unverified
5	DGMa	Accuracy	15.16	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RMN	Average Accuracy	97.99	—	Unverified
2	Model Zoo-Continual	Average Accuracy	97.71	—	Unverified
3	CODE-CL	Average Accuracy	96.56	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TAG-RMSProp	Accuracy	62.59	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CODE-CL	Average Accuracy	93.32	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TEST	1:3 Accuracy	2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TAG-RMSProp	Average Accuracy	62.79	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	IBM	Accuracy	82.69	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	IBM	Accuracy	88.15	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Model Zoo-Continual	Average Accuracy	84.27	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TAG-RMSProp	Accuracy	61.58	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CODE-CL	Average Accuracy	68.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TAG-RMSProp	Accuracy	57.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	IBM	Accuracy	53.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MRM	Acc	78.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Model Zoo-Continual	Average Accuracy	99.66	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CODE-CL	Average Accuracy	77.21	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	H$^{2}$	Top 1 Accuracy %	97.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	H$^{2}$	Top 1 Accuracy %	99.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	IBM	Accuracy	52.38	—	Unverified