Incremental Learning

Incremental learning aims to develop artificially intelligent systems that can continuously learn to address new tasks from new data while preserving knowledge learned from previously learned tasks.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 451–475 of 1371 papers

Title	Date	Tasks	Status
A multi-label, dual-output deep neural network for automated bug triaging	Oct 13, 2019	Incremental LearningMulti-class Classification	—Unverified
Efficient Induction of Language Models Via Probabilistic Concept Formation	Dec 22, 2022	AttributeIncremental Learning	—Unverified
Brain-inspired feature exaggeration in generative replay for continual learning	Oct 26, 2021	class-incremental learningClass Incremental Learning	—Unverified
Efficient Non-Exemplar Class-Incremental Learning with Retrospective Feature Synthesis	Nov 3, 2024	class-incremental learningClass Incremental Learning	—Unverified
Deeper Insights into Learning Performance of Stochastic Configuration Networks	Nov 13, 2024	Incremental Learning	—Unverified
Efficient tracking of team sport players with few game-specific annotations	Apr 8, 2022	Incremental Learning	—Unverified
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams	Feb 26, 2024	EEGElectroencephalogram (EEG)	—Unverified
EILearn: Learning Incrementally Using Previous Knowledge Obtained From an Ensemble of Classifiers	Feb 8, 2019	Incremental Learning	—Unverified
A Bag of Tricks for Few-Shot Class-Incremental Learning	Mar 21, 2024	class-incremental learningClass Incremental Learning	—Unverified
FearNet: Brain-Inspired Model for Incremental Learning	Nov 28, 2017	Audio ClassificationIncremental Learning	—Unverified
Embedding Space Allocation with Angle-Norm Joint Classifiers for Few-Shot Class-Incremental Learning	Nov 14, 2024	class-incremental learningClass Incremental Learning	—Unverified
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer	Jan 22, 2022	image-classificationImage Classification	—Unverified
Brain-inspired continual pre-trained learner via silent synaptic consolidation	Oct 8, 2024	class-incremental learningClass Incremental Learning	—Unverified
A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring	Aug 8, 2022	Classificationclass-incremental learning	—Unverified
Energy Aligning for Biased Models	Jun 7, 2021	class-incremental learningClass Incremental Learning	—Unverified
Deep Autoencoders with Value-at-Risk Thresholding for Unsupervised Anomaly Detection	Dec 9, 2019	Anomaly DetectionIncremental Learning	—Unverified
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning	Apr 22, 2024	class-incremental learningClass Incremental Learning	—Unverified
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning	Jan 12, 2024	class-incremental learningClass Incremental Learning	—Unverified
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning	Mar 24, 2025	class-incremental learningClass Incremental Learning	—Unverified
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks	Aug 9, 2023	class-incremental learningClass Incremental Learning	—Unverified
Federated Class-Incremental Learning with Prompting	Oct 13, 2023	class-incremental learningClass Incremental Learning	—Unverified
Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learner	Jun 5, 2024	class-incremental learningClass Incremental Learning	—Unverified
Decentralised and collaborative machine learning framework for IoT	Dec 19, 2023	Federated LearningIncremental Learning	—Unverified
Enhancing Visual Continual Learning with Language-Guided Supervision	Mar 24, 2024	class-incremental learningClass Incremental Learning	—Unverified
Brain-inspired analogical mixture prototypes for few-shot class-incremental learning	Feb 26, 2025	class-incremental learningClass Incremental Learning	—Unverified

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All datasets CIFAR-100 - 50 classes + 5 steps of 10 classes CIFAR-100 - 50 classes + 10 steps of 5 classes ImageNet100 - 10 steps CIFAR-100-B0(5steps of 20 classes)ImageNet - 10 steps CIFAR100-B0(10steps of 10 classes)CIFAR-100 - 50 classes + 25 steps of 2 classes CIFAR100B020Step(5ClassesPerStep)ImageNet-100 - 50 classes + 10 steps of 5 classes ImageNet-100 - 50 classes + 5 steps of 10 classes CIFAR-100 - 50 classes + 2 steps of 25 classes ImageNet - 500 classes + 10 steps of 50 classes

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PPCA-SWSL	Final Accuracy	77.07	—	Unverified
2	TCIL	Average Incremental Accuracy	74.88	—	Unverified
3	TCIL-Lite	Average Incremental Accuracy	74.3	—	Unverified
4	DER(Standard ResNet-18)	Average Incremental Accuracy	72.6	—	Unverified
5	D3Former	Average Incremental Accuracy	72.23	—	Unverified
6	PPCA-CLIP	Final Accuracy	69.71	—	Unverified
7	FOSTER	Average Incremental Accuracy	69.46	—	Unverified
8	RMM (Modified ResNet-32)	Average Incremental Accuracy	68.86	—	Unverified
9	DER(Modified Res-32)	Average Incremental Accuracy	67.6	—	Unverified
10	CCIL-SD	Average Incremental Accuracy	67.17	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TCIL	Average Incremental Accuracy	73.72	—	Unverified
2	TCIL-Lite	Average Incremental Accuracy	73.5	—	Unverified
3	DER(Standard ResNet-18)	Average Incremental Accuracy	72.45	—	Unverified
4	D3Former	Average Incremental Accuracy	70.94	—	Unverified
5	FOSTER	Average Incremental Accuracy	67.95	—	Unverified
6	RMM (Modified ResNet-32)	Average Incremental Accuracy	67.61	—	Unverified
7	DER(Modified ResNet-32）	Average Incremental Accuracy	66.36	—	Unverified
8	CCIL-SD	Average Incremental Accuracy	65.86	—	Unverified
9	PODNet (CNN)	Average Incremental Accuracy	63.19	—	Unverified
10	UCIR (CNN)*	Average Incremental Accuracy	60.18	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	WA	Average Incremental Accuracy Top-5	91	—	Unverified
2	BiC	Average Incremental Accuracy Top-5	90.6	—	Unverified
3	E2E	Average Incremental Accuracy Top-5	89.92	—	Unverified
4	RPSNet	Average Incremental Accuracy Top-5	87.9	—	Unverified
5	kNN-CLIP	Average Incremental Accuracy	85.1	—	Unverified
6	iCaRL	Average Incremental Accuracy Top-5	83.6	—	Unverified
7	RMM (ResNet-18)	Average Incremental Accuracy	78.47	—	Unverified
8	FOSTER	Average Incremental Accuracy	77.75	—	Unverified
9	TCIL	Average Incremental Accuracy	77.66	—	Unverified
10	TCIL-Lite	Average Incremental Accuracy	77.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	View-Batch(TCIL)	Average Incremental Accuracy	79.23	—	Unverified
2	TCIL	Average Incremental Accuracy	77.72	—	Unverified
3	TCIL-Lite	Average Incremental Accuracy	76.96	—	Unverified
4	DER(w/o P)	Average Incremental Accuracy	76.8	—	Unverified
5	BiC	Average Incremental Accuracy	73.1	—	Unverified
6	WA	Average Incremental Accuracy	72.81	—	Unverified
7	iCaRL	Average Incremental Accuracy	71.14	—	Unverified
8	RPSNet	Average Incremental Accuracy	70.5	—	Unverified
9	PODNet	Average Incremental Accuracy	66.7	—	Unverified
10	UCIR	Average Incremental Accuracy	62.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	kNN-CLIP	Average Incremental Accuracy	85.5	—	Unverified
2	BiC	Average Incremental Accuracy Top-5	84	—	Unverified
3	E2E	Average Incremental Accuracy Top-5	72.09	—	Unverified
4	DyTox	Average Incremental Accuracy	71.29	—	Unverified
5	DER w/o Pruning	Average Incremental Accuracy	68.84	—	Unverified
6	FOSTER	Average Incremental Accuracy	68.34	—	Unverified
7	RMM (ResNet-18)	Average Incremental Accuracy	67.45	—	Unverified
8	DER	Average Incremental Accuracy	66.73	—	Unverified
9	WA	Average Incremental Accuracy	65.67	—	Unverified
10	iCaRL	Average Incremental Accuracy	38.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	View-Batch(DER)	Average Incremental Accuracy	78.12	—	Unverified
2	TCIL	Average Incremental Accuracy	77.3	—	Unverified
3	TCIL-Lite	Average Incremental Accuracy	76.74	—	Unverified
4	DER(ResNet-18)	Average Incremental Accuracy	74.64	—	Unverified
5	FOSTER	Average Incremental Accuracy	72.9	—	Unverified
6	Coil	Average Incremental Accuracy	65.48	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	D3Former	Average Incremental Accuracy	68.68	—	Unverified
2	RMM (Modified ResNet-32)	Average Incremental Accuracy	66.21	—	Unverified
3	FOSTER	Average Incremental Accuracy	63.83	—	Unverified
4	PODNet	Average Incremental Accuracy	60.72	—	Unverified
5	BiC	Average Incremental Accuracy	48.96	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	View-Batch(DER)	Average Incremental Accuracy	76.95	—	Unverified
2	TCIL-Lite	Average Incremental Accuracy	75.47	—	Unverified
3	TCIL	Average Incremental Accuracy	75.11	—	Unverified
4	DER(ResNet-18)	Average Incremental Accuracy	73.98	—	Unverified
5	FOSTER	Average Incremental Accuracy	70.65	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RMM (ResNet-18)	Average Incremental Accuracy	78.47	—	Unverified
2	DER	Average Incremental Accuracy	77.73	—	Unverified
3	FOSTER	Average Incremental Accuracy	77.54	—	Unverified
4	CCIL-SD	Average Incremental Accuracy	76.77	—	Unverified
5	PODNet	Average Incremental Accuracy	73.14	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FOSTER	Average Incremental Accuracy	80.22	—	Unverified
2	RMM (ResNet-18)	Average Incremental Accuracy	79.52	—	Unverified
3	CCIL-SD	Average Incremental Accuracy	79.44	—	Unverified
4	PODNet	Average Incremental Accuracy	75.82	—	Unverified
5	iCaRL*	Average Incremental Accuracy	65.56	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TCIL	Average Incremental Accuracy	76.42	—	Unverified
2	TCIL-Lite	Average Incremental Accuracy	74.95	—	Unverified
3	DER (w/o P)	Average Incremental Accuracy	74.61	—	Unverified
4	iCaRL	Average Incremental Accuracy	71.33	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PPCA-CLIP	Final Accuracy	71.25	—	Unverified
2	RMM (ResNet-18)	Average Incremental Accuracy	67.45	—	Unverified
3	PODNet	Average Incremental Accuracy	64.13	—	Unverified
4	UCIR (NME)*	Average Incremental Accuracy	59.92	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PPCA-CLIP	Final Accuracy	71.25	—	Unverified
2	RMM (ResNet-18)	Average Incremental Accuracy	69.21	—	Unverified
3	CCIL-SD	Average Incremental Accuracy	68.04	—	Unverified
4	PODNet	Average Incremental Accuracy	66.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RMM (ResNet-18)	Average Incremental Accuracy	76.54	—	Unverified
2	FOSTER	Average Incremental Accuracy	69.34	—	Unverified
3	PODNet	Average Incremental Accuracy	67.28	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PODNet	Average Incremental Accuracy	57.98	—	Unverified
2	BiC	Average Incremental Accuracy	47.09	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PODNet	Average Incremental Accuracy	62.08	—	Unverified
2	BiC	Average Incremental Accuracy	46.49	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FeTrIL	Average Incremental Accuracy	59.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DER(ResNet-18)	Average Incremental Accuracy	72.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FOSTER	Average Incremental Accuracy	74.49	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PPCA-CLIP	Final Accuracy	35.42	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RMM (ResNet-18)	Average Incremental Accuracy	63.93	—	Unverified