Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork

Qiang Gao, Xiaojun Shan, Yuchen Zhang, Fan Zhou
2/12/2026

No official code found. Best implementation: shanxiaojun/DSN (4 stars, last commit 2024-06-06).

DOISemantic Scholar

Code Implementations(1)

shanxiaojun/DSNCommunity68%

(NeurIPS 2023) Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork

40PythonOct 19, 20232 years ago

Similar Papers

Provable Memory Efficient Self-Play Algorithm for Model-free Reinforcement Learning

97% match2026

Augmentation-free Dense Contrastive Distillation for Efficient Semantic Segmentation

97% match1 repo192026

NICE: Neurogenesis Inspired Contextual Encoding for Replay-free Class Incremental Learning

97% match1 repo292026

Integration-free Kernels for Equivariant Gaussian Process Modelling

96% match1 repo12026

PaintSeg: Painting Pixels for Training-free Segmentation

95% match1 repo142026

Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration

95% match2026

Cite this paper

@article{gao2026enhancing,
  title  = {Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork},
  author = {Qiang Gao and Xiaojun Shan and Yuchen Zhang and Fan Zhou},
  year   = {2026},
  doi    = {10.52202/075280-2994},
  url    = {https://doi.org/10.52202/075280-2994},
  journal = {NEURIPS 2023 2023}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/530205059395735a03e76e8e7faaab84ea7fe0f0.svg)](https://codeofpaper.com/paper/530205059395735a03e76e8e7faaab84ea7fe0f0)

Discussion