conftrace_

class-incremental learning

154 papers

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Also known as

CIL CLASS-IL

Co-occurring keywords

catastrophic forgetting (958) continual learning (1181) knowledge distillation (3725) few-shot learning (3398) representation learning (6206) few-shot class-incremental learning (19) prototype learning (405) incremental learning (278) semantic segmentation (3186) knowledge transfer (648)

Papers

Compensating Distribution Drifts in Continual Learning with Pre-trained Vision Transformers AAAI 2026
Online Cross-Modal Hashing with Expanding Label Space AAAI 2026
Time Series Class-Incremental Learning via Confidence-guided Mask Distillation and Prototype-guided Contrastive Learning AAAI 2026
Topology-aware Knowledge Preservation for Class-Incremental Learning AAAI 2026
Improving Sustainability of Adversarial Examples in Class-Incremental Learning AAAI 2026
Adversarial Pseudo-replay for Exemplar-free Class-incremental Learning WACV 2026
Random Amalgamation of Adapters for Flatter Loss Landscapes: Towards Class-Incremental Learning with Better Stability AAAI 2026
BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning AAAI 2026
Decoupling Continual Semantic Segmentation AAAI 2026
Palimpsest: Reconciling the CISS Trilemma for Incremental Nuclei Segmentation AAAI 2026
FedRNC: Addressing Spatio-Temporal Label Misalignment in Federated Noisy Class-Incremental Learning AAAI 2026
Expanding the Category of Classifiers with LLM Supervision IJCAI 2025
Task-Aware Prompt Gradient Projection for Parameter-Efficient Tuning Federated Class-Incremental Learning ICCV 2025
A Tiny Change, A Giant Leap: Long-Tailed Class-Incremental Learning via Geometric Prototype Alignment ICCV 2025
Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement ICCV 2025
Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning AAAI 2025
Seeing 3D Through 2D Lenses: 3D Few-Shot Class-Incremental Learning via Cross-Modal Geometric Rectification ICCV 2025
Mind the Gap: Preserving and Compensating for the Modality Gap in CLIP-Based Continual Learning ICCV 2025
Lark: Low-Rank Updates After Knowledge Localization for Few-shot Class-Incremental Learning ICCV 2025
MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning AAAI 2025
Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning ICCV 2025
Rebalancing Multi-Label Class-Incremental Learning AAAI 2025
Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning AAAI 2025
Continual Learning Using a Kernel-Based Method Over Foundation Models AAAI 2025
Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning ICCV 2025