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conftrace_

class-incremental learning

284 papers

CIL CLASS-IL

Papers

Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform ACL 2023 Dual-Memory Multi-Modal Learning for Continual Spoken Keyword Spotting with Confidence Selection and Diversity Enhancement Interspeech 2023 Dynamic Residual Classifier for Class Incremental Learning ICCV 2023 Endpoints Weight Fusion for Class Incremental Semantic Segmentation CVPR 2023 Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks IJCAI 2023 Exemplar-Free Continual Transformer with Convolutions ICCV 2023 FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning NeurIPS 2023 FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer IJCAI 2023 FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning WACV 2023 Few-shot Class-incremental Audio Classification Using Adaptively-refined Prototypes Interspeech 2023 Few-shot Class-incremental Audio Classification Using Stochastic Classifier Interspeech 2023 Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation CVPR 2023 Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration NeurIPS 2023 First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning ICCV 2023 Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation CVPR 2023 GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task CVPR 2023 Heterogeneous Forgetting Compensation for Class-Incremental Learning ICCV 2023 ICICLE: Interpretable Class Incremental Continual Learning ICCV 2023 Incrementer: Transformer for Class-Incremental Semantic Segmentation With Knowledge Distillation Focusing on Old Class CVPR 2023 Knowledge Restore and Transfer for Multi-Label Class-Incremental Learning ICCV 2023 Learnability and Algorithm for Continual Learning ICML 2023 Learning “O” Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER ACL 2023 Learning to Learn: How to Continuously Teach Humans and Machines ICCV 2023 Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning CVPR 2023 Leveraging Old Knowledge to Continually Learn New Classes in Medical Images AAAI 2023