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Class Incremental Learning

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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/alexk1704/scclv2

Supervised Contrastive Learning

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

Overcoming catastrophic forgetting in neural networks

https://github.com/barbua/PPCA

https://github.com/caesarea38/doclangid

Supervised Contrastive Learning

https://github.com/caotians1/OD-test-master

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

https://github.com/catid/never_forget

Overcoming catastrophic forgetting in neural networks

https://github.com/ccc-frankfurt/DP-NAS

Avalanche: an End-to-End Library for Continual Learning

https://github.com/chandar-lab/CMAL_Hanabi

On Tiny Episodic Memories in Continual Learning

https://github.com/chandar-lab/IIRC

IIRC: Incremental Implicitly-Refined Classification

https://github.com/chandar-lab/Lifelong-Hanabi

On Tiny Episodic Memories in Continual Learning

https://github.com/clam004/intro_continual_learning

Overcoming catastrophic forgetting in neural networks

https://github.com/codelion/adaptive-classifier/blob/main/src/adaptive_classifier/ewc.py

Overcoming catastrophic forgetting in neural networks

https://github.com/continualai/avalanche-rl

Avalanche: an End-to-End Library for Continual Learning

https://github.com/cvlab-yonsei/dkd

Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation

https://github.com/dalxndr/NEURO140

Overcoming catastrophic forgetting in neural networks

https://github.com/daskol/paper-reviews

Overcoming catastrophic forgetting in neural networks

https://github.com/david-knigge/overcoming-catastrophic-forgetting-fncm-uva

Overcoming catastrophic forgetting in neural networks

https://github.com/davidczy/supcon_gamma

Supervised Contrastive Learning

https://github.com/delyan-boychev/grad-cache-con-learning

Supervised Contrastive Learning

https://github.com/donlee90/icarl

iCaRL: Incremental Classifier and Representation Learning

https://github.com/e-solutions-GmbH/TensorFlow-iEVM

Exploring the Open World Using Incremental Extreme Value Machines

https://github.com/epsilon-deltta/ssd_guillotine

Continual Learning with Deep Generative Replay

https://github.com/ethz-asl/background_foreground_segmentation

Overcoming catastrophic forgetting in neural networks

https://github.com/fcdl94/MiB

Modeling the Background for Incremental Learning in Semantic Segmentation

https://github.com/fionisarnen/Lifelong-Learning-churn-prediction-torch

Overcoming catastrophic forgetting in neural networks

https://github.com/firehose-dataset/congrad

On Tiny Episodic Memories in Continual Learning

https://github.com/flyingsheepbin/pet-biometrics

Supervised Contrastive Learning

https://github.com/forcesh/SupContrast

Supervised Contrastive Learning

https://github.com/gahaalt/continual-learning-overview

Three scenarios for continual learning

https://github.com/gahaalt/continual-learning-with-hypernets

Three scenarios for continual learning

https://github.com/geox-lab/cmn

Learning without Forgetting

https://github.com/gmum/hint

FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning

https://github.com/gmum/hyperinterval

FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning

https://github.com/guerbet-ai/wsp-contrastive

Supervised Contrastive Learning

https://github.com/gulzainali98/LGCL

Learning to Prompt for Continual Learning

https://github.com/hannaiiyanggit/unicon

Supervised Contrastive Learning

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