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 251–275 of 1371 papers

Title	Date	Tasks	Status	Hype
Incremental Open-set Domain Adaptation	Aug 31, 2024	Domain Adaptationimage-classification	—Unverified	0
An Enhanced Batch Query Architecture in Real-time Recommendation	Aug 31, 2024	Incremental LearningRecommendation Systems	CodeCode Available	2
Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning	Aug 27, 2024	class-incremental learningClass Incremental Learning	—Unverified	0
Rebalancing Multi-Label Class-Incremental Learning	Aug 22, 2024	class-incremental learningClass Incremental Learning	—Unverified	0
Data-Free Class Incremental Gesture Recognition via Synthetic Feature Sampling	Aug 21, 2024	class-incremental learningClass Incremental Learning	—Unverified	0
ETGuard: Malicious Encrypted Traffic Detection in Blockchain-based Power Grid Systems	Aug 20, 2024	Incremental Learning	CodeCode Available	0
AIR: Analytic Imbalance Rectifier for Continual Learning	Aug 19, 2024	class-incremental learningClass Incremental Learning	CodeCode Available	1
Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning	Aug 19, 2024	class-incremental learningClass Incremental Learning	—Unverified	0
TACOS: Task Agnostic Continual Learning in Spiking Neural Networks	Aug 16, 2024	Continual LearningIncremental Learning	—Unverified	0
Assessing Generalization Capabilities of Malaria Diagnostic Models from Thin Blood Smears	Aug 16, 2024	DiagnosticIncremental Learning	—Unverified	0
An Efficient Replay for Class-Incremental Learning with Pre-trained Models	Aug 15, 2024	class-incremental learningClass Incremental Learning	—Unverified	0
Towards Effective Authorship Attribution: Integrating Class-Incremental Learning	Aug 12, 2024	Authorship Attributionclass-incremental learning	CodeCode Available	0
AggSS: An Aggregated Self-Supervised Approach for Class-Incremental Learning	Aug 8, 2024	class-incremental learningClass Incremental Learning	—Unverified	0
Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond	Aug 6, 2024	class-incremental learningClass Incremental Learning	—Unverified	0
SR-CIS: Self-Reflective Incremental System with Decoupled Memory and Reasoning	Aug 4, 2024	Anomaly DetectionIncremental Learning	—Unverified	0
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation	Aug 2, 2024	class-incremental learningClass Incremental Learning	—Unverified	0
Multi-Site Class-Incremental Learning with Weighted Experts in Echocardiography	Jul 31, 2024	class-incremental learningClass Incremental Learning	CodeCode Available	0
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning	Jul 30, 2024	class-incremental learningClass Incremental Learning	CodeCode Available	0
FTF-ER: Feature-Topology Fusion-Based Experience Replay Method for Continual Graph Learning	Jul 28, 2024	class-incremental learningClass Incremental Learning	CodeCode Available	0
Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive Representation	Jul 27, 2024	Audio Classificationclass-incremental learning	—Unverified	0
Constructing Enhanced Mutual Information for Online Class-Incremental Learning	Jul 26, 2024	class-incremental learningClass Incremental Learning	—Unverified	0
Taxonomy-Aware Continual Semantic Segmentation in Hyperbolic Spaces for Open-World Perception	Jul 25, 2024	Autonomous DrivingClass-Incremental Semantic Segmentation	—Unverified	0
CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning	Jul 22, 2024	Continual LearningIncremental Learning	CodeCode Available	1
Learning at a Glance: Towards Interpretable Data-limited Continual Semantic Segmentation via Semantic-Invariance Modelling	Jul 22, 2024	Continual Semantic SegmentationContrastive Learning	CodeCode Available	1
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning	Jul 22, 2024	Class Incremental LearningContinual 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