Awesome

Awesome Few-Shot Class-Incremental Learning

Pull requests are welcome if you find any interesting paper is missing.

On the Soft-Subnetwork for Few-Shot Class Incremental Learning (ICLR23)[paper]
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning (ICLR23)[paper]
Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning (ICLR23)[paper]
Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation (CVPR23)[paper]
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-shot Class Incremental Task (CVPR23)[paper]
Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning (CVPR23)[paper]
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration (NeurIPS2023)[paper] [Code]

Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks(TPAMI22)[paper][Code]
Forward Compatible Few-Shot Class-Incremental Learning(CVPR22) [paper] [Code]
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning (CVPR22) [paper]
Constrained Few-shot Class-incremental Learning (CVPR22) [paper]
Subspace Regularizers for Few-Shot Class Incremental Learning (ICLR22) [paper]
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay (ECCV22) [paper]

Learning adaptive classifiers synthesis for generalized few-shot learning(IJCV21) [paper] [Code]
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning(TPAMI21) [paper]
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting(ICCV21) [paper]
Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces(ICCV21) [paper]
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning(ICML21) [paper]
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima(NeurIPS21) [paper]
Few-shot incremental learning with continually evolved classifiers(CVPR21) [paper]
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning(CVPR21) [paper]
Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning (CVPR21) [paper]
Incremental few-shot learning via vector quantization in deep embedded space(ICLR21) [paper]
Few-Shot Lifelong Learning(AAAI21) [paper]

Few-Shot Class-Incremental Learning (CVPR20) [paper]
Incremental Few-Shot Object Detection(CVPR20) [paper]
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning(ICML20) [paper]

Incremental few-shot learning with attention attractor networks(NeurIPS19) [paper]

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