Papers with Code 아카이브

Class Incremental Learning

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 3
평가표: 6
보존된 평가 기록: 14

Incremental learning of a sequence of tasks when the task-ID is not available at test time.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/sidtandon2014/fw-shapley

Supervised Contrastive Learning

https://github.com/sjtu-dmtai/onlinetsf

Dark Experience for General Continual Learning: a Strong, Simple Baseline

https://github.com/srvCodes/continual-learning-benchmark

Overcoming catastrophic forgetting in neural networks

https://github.com/stijani/elastic-weight-consolidation-tf2

Overcoming catastrophic forgetting in neural networks

https://github.com/uiuctml/HypStructure

Supervised Contrastive Learning

https://github.com/vk1996/contrastive_learning

Supervised Contrastive Learning

https://github.com/vlomonaco/ar1-pytorch

Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches

https://github.com/vlomonaco/core50

Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches

https://github.com/wannaa/c-flat

Maintaining Discrimination and Fairness in Class Incremental Learning

https://github.com/wannabeOG/ExpertNet-Pytorch

Learning without Forgetting

https://github.com/wannabeOG/MAS-PyTorch

Overcoming catastrophic forgetting in neural networks

https://github.com/wjmacro/continualmt

Overcoming catastrophic forgetting in neural networks

https://github.com/wuzhiyuan2000/FedAgg

Federated Class-Incremental Learning with New-Class Augmented Self-Distillation

https://github.com/wyatuestc/overcoming-catastrophic

Overcoming catastrophic forgetting in neural networks

https://github.com/xduan7/hat-cl

Overcoming catastrophic forgetting in neural networks

https://github.com/xyutao/fscil

Few-Shot Class-Incremental Learning

https://github.com/yaqianzhang/repeatedaugmentedrehearsal

On Tiny Episodic Memories in Continual Learning

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.