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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/sahalshajim/ss-owformer

공식 코드

Semi-supervised Open-World Object Detection

https://github.com/salehmomeni/klda

공식 코드

Continual Learning Using a Kernel-Based Method Over Foundation Models

https://github.com/sanaAyrml/Class-Impresion-for-Data-free-Incremental-Learning

공식 코드

Class Impression for Data-free Incremental Learning

https://github.com/scok30/mae-cil

공식 코드

Masked Autoencoders are Efficient Class Incremental Learners

https://github.com/scok30/tass

공식 코드

Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning

https://github.com/scok30/vit-cil

공식 코드

Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class Incremental Learning

https://github.com/sepehrbakhshi/BELS

공식 코드

A Broad Ensemble Learning System for Drifting Stream Classification

https://github.com/shahariel/TEAL

공식 코드

TEAL: New Selection Strategy for Small Buffers in Experience Replay Class Incremental Learning

https://github.com/shaoyijia/vag

공식 코드

Class-Incremental Learning based on Label Generation

https://github.com/sharpiless/rgal

공식 코드

Relation-Guided Adversarial Learning for Data-free Knowledge Transfer

https://github.com/shenghongdai/fed-a-gem

공식 코드

Buffer-based Gradient Projection for Continual Federated Learning

https://github.com/shuvenduroy/coact-fscil

공식 코드

Few-shot Tuning of Foundation Models for Class-incremental Learning

https://github.com/simomagi/elastic_feature_consolidation

공식 코드

Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning

https://github.com/simplify23/MRN

공식 코드

MRN: Multiplexed Routing Network for Incremental Multilingual Text Recognition

https://github.com/sjtudyq/oebench

공식 코드

OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams

https://github.com/skylorh/FedCLASS

공식 코드

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

https://github.com/slow-steppers/neighborhash

공식 코드

An Enhanced Batch Query Architecture in Real-time Recommendation

https://github.com/snumprlab/cl-alfred

공식 코드

Online Continual Learning For Interactive Instruction Following Agents

https://github.com/socialmediaie/pytail

공식 코드

PyTAIL: Interactive and Incremental Learning of NLP Models with Human in the Loop for Online Data

https://github.com/srebuffi/iCaRL

공식 코드

iCaRL: Incremental Classifier and Representation Learning

https://github.com/stonemo/cign

공식 코드

Class-Incremental Grouping Network for Continual Audio-Visual Learning

https://github.com/sud0301/essentials_for_CIL

공식 코드

Essentials for Class Incremental Learning

https://github.com/suhlemeyer/novelty-learning

공식 코드

Towards Unsupervised Open World Semantic Segmentation

https://github.com/sun-hailong/aaai25-mos

공식 코드

MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning

https://github.com/sun-hailong/cvpr24-ease

공식 코드

Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning

https://github.com/sun-hailong/lamda-pilot

공식 코드

PILOT: A Pre-Trained Model-Based Continual Learning Toolbox

https://github.com/swagshaw/rainbow-keywords

공식 코드

Rainbow Keywords: Efficient Incremental Learning for Online Spoken Keyword Spotting

https://github.com/tachyonicclock/surprisenet-cikm-23

공식 코드

Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning

https://github.com/taimurhassan/inc-inst-seg

공식 코드

A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items

https://github.com/tamasham/napa-vq

공식 코드

NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning

https://github.com/tambourine666/Covariance-Space-Regularize

공식 코드

Covariance-based Space Regularization for Few-shot Class Incremental Learning

https://github.com/tanghaoyu258/feel

공식 코드

Visual Self-paced Iterative Learning for Unsupervised Temporal Action Localization

https://github.com/tanyjiang/video_cil

공식 코드

Teacher Agent: A Knowledge Distillation-Free Framework for Rehearsal-based Video Incremental Learning

https://github.com/tdemin16/multi-lane

공식 코드

Less is more: Summarizing Patch Tokens for efficient Multi-Label Class-Incremental Learning

https://github.com/tf63/acmap

공식 코드

Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning

https://github.com/thu-mig/yolo-uniow

공식 코드

YOLO-UniOW: Efficient Universal Open-World Object Detection

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