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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/109502518/psc_bigdata

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Toward Efficient and Incremental Spectral Clustering via Parametric Spectral Clustering

https://github.com/1170300714/cbs

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Class Balance Matters to Active Class-Incremental Learning

https://github.com/1170300714/lp-dif

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Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning

https://github.com/2younis/DFGRID

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Data-Free Generative Replay for Class-Incremental Learning on Imbalanced Data

https://github.com/2younis/dfgr

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Data-Free Generative Replay for Class-Incremental Learning on Imbalanced Data

https://github.com/AlbinSou/cross_task_cil

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On the importance of cross-task features for class-incremental learning

https://github.com/Antimony5292/CILIATE

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CILIATE: Towards Fairer Class-based Incremental Learning by Dataset and Training Refinement

https://github.com/ArminLee/OWOD_Review

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Open World Object Detection: A Survey

https://github.com/AtiqueUrRehman/qaida

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Large Scale Font Independent Urdu Text Recognition System

https://github.com/BoSmallEar/COOLer

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COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking

https://github.com/ChangLee0903/SERIL

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SERIL: Noise Adaptive Speech Enhancement using Regularization-based Incremental Learning

https://github.com/Coral79/CDDB

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A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials

https://github.com/CyanML/FTF-ER

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FTF-ER: Feature-Topology Fusion-Based Experience Replay Method for Continual Graph Learning

https://github.com/Debatrix/UPCL

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Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective

https://github.com/DigiTurk84/class-incremental-polytope

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Class-incremental Learning with Pre-allocated Fixed Classifiers

https://github.com/Drkun/ZSTCI

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Incremental Embedding Learning via Zero-Shot Translation

https://github.com/EdenBelouadah/class-incremental-learning

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ScaIL: Classifier Weights Scaling for Class Incremental Learning

https://github.com/G-U-N/ECCV22-FOSTER

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FOSTER: Feature Boosting and Compression for Class-Incremental Learning

https://github.com/GMvandeVen/class-incremental-learning

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Class-Incremental Learning with Generative Classifiers

https://github.com/GMvandeVen/continual-learning

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Three scenarios for continual learning

https://github.com/GT-RIPL/AlwaysBeDreaming-DFCIL

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Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning

https://github.com/GhadaSokar/AFAF

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Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks

https://github.com/GhadaSokar/Invariant-Representation-for-Continual-Learning

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Learning Invariant Representation for Continual Learning

https://github.com/GhadaSokar/SpaceNet

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SpaceNet: Make Free Space For Continual Learning

https://github.com/GuangmingZhu/SketchIME

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Sketch Input Method Editor: A Comprehensive Dataset and Methodology for Systematic Input Recognition

https://github.com/HAIV-Lab/Knowe

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Coarse-To-Fine Incremental Few-Shot Learning

https://github.com/HeyuanMingong/iwies

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Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments

https://github.com/HuantWang/PROM

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Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

https://github.com/IdanAchituve/GP-Tree

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GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning

https://github.com/JosephKJ/iOD

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Incremental Object Detection via Meta-Learning

https://github.com/JoyHuYY1412/DDE_CIL

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Distilling Causal Effect of Data in Class-Incremental Learning

https://github.com/JoyHuYY1412/LST_LVIS

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Learning to Segment the Tail

https://github.com/Khurramjaved96/incremental-learning

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Revisiting Distillation and Incremental Classifier Learning

https://github.com/Leechikara/Incremental-Dialogue-System

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Incremental Learning from Scratch for Task-Oriented Dialogue Systems

https://github.com/MIFA-Lab/SAFE

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SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models

https://github.com/MSNLAB/Federated-Lifelong-Person-ReID

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Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges

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