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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 101–110 of 1371 papers

Title	Date	Tasks	Status	Hype
Knowledge Swapping via Learning and Unlearning	Feb 12, 2025	image-classificationImage Classification	CodeCode Available	0
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning	Feb 12, 2025	class-incremental learningClass Incremental Learning	—Unverified	0
Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning	Feb 11, 2025	class-incremental learningClass Incremental Learning	CodeCode Available	1
Memory Is Not the Bottleneck: Cost-Efficient Continual Learning via Weight Space Consolidation	Feb 11, 2025	class-incremental learningClass Incremental Learning	—Unverified	0
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector	Feb 8, 2025	Incremental LearningKnowledge Distillation	—Unverified	0
Leveraging Pre-Trained Models for Multimodal Class-Incremental Learning under Adaptive Fusion	Feb 7, 2025	class-incremental learningClass Incremental Learning	—Unverified	0
IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation	Feb 7, 2025	class-incremental learningClass Incremental Learning	CodeCode Available	0
Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks	Feb 6, 2025	Clone DetectionCode Summarization	—Unverified	0
A Benchmark for Incremental Micro-expression Recognition	Jan 31, 2025	Incremental LearningMicro Expression Recognition	CodeCode Available	1
Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning	Jan 27, 2025	class-incremental learningClass Incremental Learning	—Unverified	0

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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