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Incremental Learning

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평가표: 22
보존된 평가 기록: 112

Incremental learning aims to develop artificially intelligent systems that can continuously learn to address new tasks from new data while preserving knowledge learned from previously learned tasks.

코드

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

https://github.com/hammerlabml/unsupervisedunlearningconceptdriftautoencoders

공식 코드

Unsupervised Unlearning of Concept Drift with Autoencoders

https://github.com/hankyul2/viewbatchmodel

공식 코드

Do Your Best and Get Enough Rest for Continual Learning

https://github.com/haoranchen/promptfusion

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PromptFusion: Decoupling Stability and Plasticity for Continual Learning

https://github.com/haseebs/Pseudo-rehearsal-Incremental-Learning

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Distillation Techniques for Pseudo-rehearsal Based Incremental Learning

https://github.com/henrygouk/stochastic-gradient-trees

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Stochastic Gradient Trees

https://github.com/hi-ft/erd

공식 코드

Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation

https://github.com/hit-leaderone/filp-3d

공식 코드

FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language Models

https://github.com/hit-leaderone/flip-3d

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FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language Models

https://github.com/hongsinlee/flair

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Enhancing Robustness in Incremental Learning with Adversarial Training

https://github.com/hongwang600/Lifelong_Relation_Detection

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Sentence Embedding Alignment for Lifelong Relation Extraction

https://github.com/houchengbin/GloDyNE

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GloDyNE: Global Topology Preserving Dynamic Network Embedding

https://github.com/huihui0902/robust_mean_estimation

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Robust Sparse Mean Estimation via Incremental Learning

https://github.com/hunarbatra/elastic-variational-continual-learning

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EVCL: Elastic Variational Continual Learning with Weight Consolidation

https://github.com/hy2mk/cgcd

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Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery

https://github.com/iacobo/continual

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Continual learning of longitudinal health records

https://github.com/iamwangyabin/esn

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Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference

https://github.com/iamwangyabin/s-prompts

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S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning

https://github.com/ibm/constrained-fscil

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Constrained Few-shot Class-incremental Learning

https://github.com/ieeta-pt/fed_rf

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A Federated Random Forest Solution for Secure Distributed Machine Learning

https://github.com/ifnspaml/CIL_Segmentation

공식 코드

Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels

https://github.com/ihaeyong/pfnr

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Continual Learning: Forget-free Winning Subnetworks for Video Representations

https://github.com/ihaeyong/soft-tf

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Soft-TransFormers for Continual Learning

https://github.com/ihaeyong/softnet-fscil

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On the Soft-Subnetwork for Few-shot Class Incremental Learning

https://github.com/innixma/dex

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Dex: Incremental Learning for Complex Environments in Deep Reinforcement Learning

https://github.com/isee-laboratory/revisting_fscil

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Rethinking Few-shot Class-incremental Learning: Learning from Yourself

https://github.com/ivclab/CPG

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Compacting, Picking and Growing for Unforgetting Continual Learning

https://github.com/ivsucram/cfa

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Class-Incremental Learning via Knowledge Amalgamation

https://github.com/jarintotiondin/ziragroundingdino

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Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection

https://github.com/jaryP/Cascaded-Scaling-Classifier

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Class incremental learning with probability dampening and cascaded gated classifier

https://github.com/jaryP/CentroidsMatching

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Centroids Matching: an efficient Continual Learning approach operating in the embedding space

https://github.com/jaryp/cil-margin-dampening-gated-classifier

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Class incremental learning with probability dampening and cascaded gated classifier

https://github.com/jayatejak/gvalign

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Robust Feature Learning and Global Variance-Driven Classifier Alignment for Long-Tail Class Incremental Learning

https://github.com/jayatejak/s3c

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S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning

https://github.com/jiaconghu/model-lego

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Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks

https://github.com/jiahuadong/hfc

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Heterogeneous Forgetting Compensation for Class-Incremental Learning

https://github.com/jiahuadong/lga

공식 코드

No One Left Behind: Real-World Federated Class-Incremental Learning

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