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 326–350 of 1371 papers

Title	Date	Tasks	Status	Hype
Recent Advances of Foundation Language Models-based Continual Learning: A Survey	May 28, 2024	class-incremental learningClass Incremental Learning	—Unverified	0
Compositional Few-Shot Class-Incremental Learning	May 27, 2024	class-incremental learningClass Incremental Learning	CodeCode Available	0
On Sequential Loss Approximation for Continual Learning	May 26, 2024	class-incremental learningClass Incremental Learning	CodeCode Available	0
Protect-Your-IP: Scalable Source-Tracing and Attribution against Personalized Generation	May 26, 2024	AttributeIncremental Learning	—Unverified	0
Few-shot Tuning of Foundation Models for Class-incremental Learning	May 26, 2024	class-incremental learningClass Incremental Learning	CodeCode Available	0
A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation	May 25, 2024	Contrastive LearningImage Segmentation	—Unverified	0
A Second-Order Perspective on Model Compositionality and Incremental Learning	May 25, 2024	Incremental Learning	—Unverified	0
Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective	May 24, 2024	class-incremental learningClass Incremental Learning	CodeCode Available	0
Less is more: Summarizing Patch Tokens for efficient Multi-Label Class-Incremental Learning	May 24, 2024	class-incremental learningClass Incremental Learning	CodeCode Available	1
Adaptive Retention & Correction: Test-Time Training for Continual Learning	May 23, 2024	ARCContinual Learning	—Unverified	0
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory	May 22, 2024	class-incremental learningClass Incremental Learning	—Unverified	0
Rehearsal-free Federated Domain-incremental Learning	May 22, 2024	Contrastive LearningFederated Learning	—Unverified	0
Mitigating Interference in the Knowledge Continuum through Attention-Guided Incremental Learning	May 22, 2024	class-incremental learningClass Incremental Learning	CodeCode Available	0
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning	May 20, 2024	class-incremental learningClass Incremental Learning	—Unverified	0
Learning More Generalized Experts by Merging Experts in Mixture-of-Experts	May 19, 2024	Incremental LearningMixture-of-Experts	—Unverified	0
InfRS: Incremental Few-Shot Object Detection in Remote Sensing Images	May 18, 2024	Few-Shot Object DetectionIncremental Learning	CodeCode Available	1
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning	May 17, 2024	class-incremental learningClass Incremental Learning	—Unverified	0
Towards Realistic Incremental Scenario in Class Incremental Semantic Segmentation	May 16, 2024	Class-Incremental Semantic SegmentationIncremental Learning	CodeCode Available	0
Model-Free Unsupervised Anomaly Detection Framework in Multivariate Time-Series of Industrial Dynamical Systems	May 14, 2024	Anomaly DetectionIncremental Learning	—Unverified	0
Dynamic Feature Learning and Matching for Class-Incremental Learning	May 14, 2024	class-incremental learningClass Incremental Learning	—Unverified	0
Feature Expansion and enhanced Compression for Class Incremental Learning	May 13, 2024	class-incremental learningClass Incremental Learning	CodeCode Available	0
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks	May 11, 2024	Incremental Learning	—Unverified	0
Fast Evaluation of DNN for Past Dataset in Incremental Learning	May 10, 2024	Incremental Learning	—Unverified	0
Few-Shot Class Incremental Learning via Robust Transformer Approach	May 8, 2024	class-incremental learningClass Incremental Learning	CodeCode Available	0
Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning	May 8, 2024	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