SOTAVerified

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

Showing 101–150 of 1371 papers

TitleStatusHype
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning—0
Knowledge Swapping via Learning and UnlearningCode0
Navigating Semantic Drift in Task-Agnostic Class-Incremental LearningCode1
Memory Is Not the Bottleneck: Cost-Efficient Continual Learning via Weight Space Consolidation—0
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector—0
Leveraging Pre-Trained Models for Multimodal Class-Incremental Learning under Adaptive Fusion—0
IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental SegmentationCode0
Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks—0
A Benchmark for Incremental Micro-expression RecognitionCode1
Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning—0
On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning—0
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting—0
Towards Robust Incremental Learning under Ambiguous Supervision—0
S-LoRA: Scalable Low-Rank Adaptation for Class Incremental Learning—0
Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks—0
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning—0
PAL: Prompting Analytic Learning with Missing Modality for Multi-Modal Class-Incremental Learning—0
Resource-Constrained Federated Continual Learning: What Does Matter?—0
Attention is All You Need Until You Need Retention—0
Continual Deep Active Learning for Medical Imaging: Replay-Base Architecture for Context AdaptationCode0
Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning—0
Lifelong Learning of Large Language Model based Agents: A RoadmapCode3
CSTA: Spatial-Temporal Causal Adaptive Learning for Exemplar-Free Video Class-Incremental LearningCode0
Language-Inspired Relation Transfer for Few-shot Class-Incremental Learning—0
Continuous Knowledge-Preserving Decomposition for Few-Shot Continual LearningCode1
Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions—0
MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware ClassificationCode1
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution DetectionCode0
Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning—0
OW-OVD: Unified Open World and Open Vocabulary Object DetectionCode1
Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality CalibrationCode1
Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning—0
Activating Sparse Part Concepts for 3D Class Incremental LearningCode0
Hyperbolic Uncertainty-Aware Few-Shot Incremental Point Cloud Segmentation—0
Continuous Adverse Weather Removal via Degradation-Aware Distillation—0
Revisiting Generative Replay for Class Incremental Object DetectionCode1
Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning—0
Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning—0
Learning Conditional Space-Time Prompt Distributions for Video Class-Incremental Learning—0
pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation—0
SEC-Prompt:SEmantic Complementary Prompting for Few-Shot Class-Incremental Learning—0
Automatic Construction of Pattern Classifiers Capable of Continuous Incremental Learning and Unlearning Tasks Based on Compact-Sized Probabilistic Neural Network—0
ACIL: Active Class Incremental Learning for Image Classification—0
Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning—0
Dynamic Prompt Adjustment for Multi-Label Class-Incremental Learning—0
Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and OptimizationCode0
YOLO-UniOW: Efficient Universal Open-World Object DetectionCode2
Breaking Fine-Grained Classification Barriers with Cost-Free Data in Few-Shot Class-Incremental Learning—0
Exemplar-condensed Federated Class-incremental Learning—0
Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PPCA-SWSLFinal Accuracy77.07—Unverified
2TCILAverage Incremental Accuracy74.88—Unverified
3TCIL-LiteAverage Incremental Accuracy74.3—Unverified
4DER(Standard ResNet-18)Average Incremental Accuracy72.6—Unverified
5D3FormerAverage Incremental Accuracy72.23—Unverified
6PPCA-CLIPFinal Accuracy69.71—Unverified
7FOSTERAverage Incremental Accuracy69.46—Unverified
8RMM (Modified ResNet-32)Average Incremental Accuracy68.86—Unverified
9DER(Modified Res-32)Average Incremental Accuracy67.6—Unverified
10CCIL-SDAverage Incremental Accuracy67.17—Unverified
#ModelMetricClaimedVerifiedStatus
1TCILAverage Incremental Accuracy73.72—Unverified
2TCIL-LiteAverage Incremental Accuracy73.5—Unverified
3DER(Standard ResNet-18)Average Incremental Accuracy72.45—Unverified
4D3FormerAverage Incremental Accuracy70.94—Unverified
5FOSTERAverage Incremental Accuracy67.95—Unverified
6RMM (Modified ResNet-32)Average Incremental Accuracy67.61—Unverified
7DER(Modified ResNet-32)Average Incremental Accuracy66.36—Unverified
8CCIL-SDAverage Incremental Accuracy65.86—Unverified
9PODNet (CNN)Average Incremental Accuracy63.19—Unverified
10UCIR (CNN)*Average Incremental Accuracy60.18—Unverified
#ModelMetricClaimedVerifiedStatus
1WAAverage Incremental Accuracy Top-591—Unverified
2BiCAverage Incremental Accuracy Top-590.6—Unverified
3E2EAverage Incremental Accuracy Top-589.92—Unverified
4RPSNetAverage Incremental Accuracy Top-587.9—Unverified
5kNN-CLIPAverage Incremental Accuracy85.1—Unverified
6iCaRLAverage Incremental Accuracy Top-583.6—Unverified
7RMM (ResNet-18)Average Incremental Accuracy78.47—Unverified
8FOSTERAverage Incremental Accuracy77.75—Unverified
9TCILAverage Incremental Accuracy77.66—Unverified
10TCIL-LiteAverage Incremental Accuracy77.5—Unverified
#ModelMetricClaimedVerifiedStatus
1View-Batch(TCIL)Average Incremental Accuracy79.23—Unverified
2TCILAverage Incremental Accuracy77.72—Unverified
3TCIL-LiteAverage Incremental Accuracy76.96—Unverified
4DER(w/o P)Average Incremental Accuracy76.8—Unverified
5BiCAverage Incremental Accuracy73.1—Unverified
6WAAverage Incremental Accuracy72.81—Unverified
7iCaRLAverage Incremental Accuracy71.14—Unverified
8RPSNetAverage Incremental Accuracy70.5—Unverified
9PODNetAverage Incremental Accuracy66.7—Unverified
10UCIRAverage Incremental Accuracy62.77—Unverified
#ModelMetricClaimedVerifiedStatus
1kNN-CLIPAverage Incremental Accuracy85.5—Unverified
2BiCAverage Incremental Accuracy Top-584—Unverified
3E2EAverage Incremental Accuracy Top-572.09—Unverified
4DyToxAverage Incremental Accuracy71.29—Unverified
5DER w/o PruningAverage Incremental Accuracy68.84—Unverified
6FOSTERAverage Incremental Accuracy68.34—Unverified
7RMM (ResNet-18)Average Incremental Accuracy67.45—Unverified
8DERAverage Incremental Accuracy66.73—Unverified
9WAAverage Incremental Accuracy65.67—Unverified
10iCaRLAverage Incremental Accuracy38.4—Unverified
#ModelMetricClaimedVerifiedStatus
1View-Batch(DER)Average Incremental Accuracy78.12—Unverified
2TCILAverage Incremental Accuracy77.3—Unverified
3TCIL-LiteAverage Incremental Accuracy76.74—Unverified
4DER(ResNet-18)Average Incremental Accuracy74.64—Unverified
5FOSTERAverage Incremental Accuracy72.9—Unverified
6CoilAverage Incremental Accuracy65.48—Unverified
#ModelMetricClaimedVerifiedStatus
1D3FormerAverage Incremental Accuracy68.68—Unverified
2RMM (Modified ResNet-32)Average Incremental Accuracy66.21—Unverified
3FOSTERAverage Incremental Accuracy63.83—Unverified
4PODNetAverage Incremental Accuracy60.72—Unverified
5BiCAverage Incremental Accuracy48.96—Unverified
#ModelMetricClaimedVerifiedStatus
1View-Batch(DER)Average Incremental Accuracy76.95—Unverified
2TCIL-LiteAverage Incremental Accuracy75.47—Unverified
3TCILAverage Incremental Accuracy75.11—Unverified
4DER(ResNet-18)Average Incremental Accuracy73.98—Unverified
5FOSTERAverage Incremental Accuracy70.65—Unverified
#ModelMetricClaimedVerifiedStatus
1RMM (ResNet-18)Average Incremental Accuracy78.47—Unverified
2DERAverage Incremental Accuracy77.73—Unverified
3FOSTERAverage Incremental Accuracy77.54—Unverified
4CCIL-SDAverage Incremental Accuracy76.77—Unverified
5PODNetAverage Incremental Accuracy73.14—Unverified
#ModelMetricClaimedVerifiedStatus
1FOSTERAverage Incremental Accuracy80.22—Unverified
2RMM (ResNet-18)Average Incremental Accuracy79.52—Unverified
3CCIL-SDAverage Incremental Accuracy79.44—Unverified
4PODNetAverage Incremental Accuracy75.82—Unverified
5iCaRL*Average Incremental Accuracy65.56—Unverified
#ModelMetricClaimedVerifiedStatus
1TCILAverage Incremental Accuracy76.42—Unverified
2TCIL-LiteAverage Incremental Accuracy74.95—Unverified
3DER (w/o P)Average Incremental Accuracy74.61—Unverified
4iCaRLAverage Incremental Accuracy71.33—Unverified
#ModelMetricClaimedVerifiedStatus
1PPCA-CLIPFinal Accuracy71.25—Unverified
2RMM (ResNet-18)Average Incremental Accuracy67.45—Unverified
3PODNetAverage Incremental Accuracy64.13—Unverified
4UCIR (NME)*Average Incremental Accuracy59.92—Unverified
#ModelMetricClaimedVerifiedStatus
1PPCA-CLIPFinal Accuracy71.25—Unverified
2RMM (ResNet-18)Average Incremental Accuracy69.21—Unverified
3CCIL-SDAverage Incremental Accuracy68.04—Unverified
4PODNetAverage Incremental Accuracy66.95—Unverified
#ModelMetricClaimedVerifiedStatus
1RMM (ResNet-18)Average Incremental Accuracy76.54—Unverified
2FOSTERAverage Incremental Accuracy69.34—Unverified
3PODNetAverage Incremental Accuracy67.28—Unverified
#ModelMetricClaimedVerifiedStatus
1PODNetAverage Incremental Accuracy57.98—Unverified
2BiCAverage Incremental Accuracy47.09—Unverified
#ModelMetricClaimedVerifiedStatus
1PODNetAverage Incremental Accuracy62.08—Unverified
2BiCAverage Incremental Accuracy46.49—Unverified
#ModelMetricClaimedVerifiedStatus
1FeTrILAverage Incremental Accuracy59.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DER(ResNet-18)Average Incremental Accuracy72.05—Unverified
#ModelMetricClaimedVerifiedStatus
1FOSTERAverage Incremental Accuracy74.49—Unverified
#ModelMetricClaimedVerifiedStatus
1PPCA-CLIPFinal Accuracy35.42—Unverified
#ModelMetricClaimedVerifiedStatus
1RMM (ResNet-18)Average Incremental Accuracy63.93—Unverified