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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/jiangpenghe/cl-lora

공식 코드

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning

https://github.com/jianjiangkcl/neuralweightsearch

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Neural Weight Search for Scalable Task Incremental Learning

https://github.com/jianzhangcs/r-dfcil

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R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning

https://github.com/jiazuoyu/moe-adapters4cl

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Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters

https://github.com/jihwankwak/ciss_partitioned

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Towards Realistic Incremental Scenario in Class Incremental Semantic Segmentation

https://github.com/jingyzhang/cgr

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Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting

https://github.com/jmiemirza/dilam

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Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions

https://github.com/jmiemirza/dua

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An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions

https://github.com/josephkj/eli

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Energy-based Latent Aligner for Incremental Learning

https://github.com/jqtangust/IUF

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An Incremental Unified Framework for Small Defect Inspection

https://github.com/jun-cen/open_world_3d_semantic_segmentation

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Open-world Semantic Segmentation for LIDAR Point Clouds

https://github.com/junghunoh/closer_eccv2024

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CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning

https://github.com/k-gyuhak/clom

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Continual Learning Based on OOD Detection and Task Masking

https://github.com/k-gyuhak/clood

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Learnability and Algorithm for Continual Learning

https://github.com/k-gyuhak/more

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A Multi-Head Model for Continual Learning via Out-of-Distribution Replay

https://github.com/k-gyuhak/wptp

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A Theoretical Study on Solving Continual Learning

https://github.com/kerrydrx/escort

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Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning

https://github.com/khu-agi/privilege

공식 코드

Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners

https://github.com/khu-agi/vil

공식 코드

Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning

https://github.com/kibok90/iccv2019-inc

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Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild

https://github.com/kikihub/consense

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ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking

https://github.com/kilickaya/label-efficient-il

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Towards Label-Efficient Incremental Learning: A Survey

https://github.com/kitbransby/class-incremental-learning-echo

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Multi-Site Class-Incremental Learning with Weighted Experts in Echocardiography

https://github.com/kminsoo/afc

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Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation

https://github.com/kobayashikanna01/plms_are_lifelong_learners

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Can BERT Refrain from Forgetting on Sequential Tasks? A Probing Study

https://github.com/ky-ah/layup

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Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models

https://github.com/lain810/dce

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Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts

https://github.com/liangsiyuan21/oeod_survey

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Object Detectors in the Open Environment: Challenges, Solutions, and Outlook

https://github.com/libo-huang/PrePrompt

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PrePrompt: Predictive prompting for class incremental learning

https://github.com/lifelong-ml/shels

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SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries

https://github.com/lilyht/cil-mgrb

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Multi-Granularity Regularized Re-Balancing for Class Incremental Learning

https://github.com/lilyht/create

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Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds

https://github.com/linghan1997/regression-based-analytic-incremental-learning

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Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models

https://github.com/linhaowei1/tpl

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Class Incremental Learning via Likelihood Ratio Based Task Prediction

https://github.com/linhaowei1/tplr

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Class Incremental Learning via Likelihood Ratio Based Task Prediction

https://github.com/linkedin/lambda-learner

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Lambda Learner: Fast Incremental Learning on Data Streams

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