https://github.com/tlee43/chunking-setting
공식 코드Chunking: Continual Learning is not just about Distribution Shift
Papers with Code 아카이브
Continual Learning
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Continual Learning (also known as Incremental Learning, Life-long Learning) is a concept to learn a model for a large number of tasks sequentially without forgetting knowledge obtained from the preceding tasks, where the data in the old tasks are not available anymore during training new ones.
If not mentioned, the benchmarks here are Task-CL, where task-id is provided on validation.
Source:
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation
Three scenarios for continual learning
Lifelong Machine Learning
Continual lifelong learning with neural networks: A review
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tlee43/deepccg
공식 코드Approximate Bayesian Class-Conditional Models under Continuous Representation Shift
https://github.com/tmtuan1307/lander
공식 코드Text-Enhanced Data-free Approach for Federated Class-Incremental Learning
https://github.com/tobarc/privacy-aware-image-classification-with-knn
공식 코드Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification
https://github.com/tobiaskalb/disjoint_cityscape_splits
공식 코드Improving Replay-Based Continual Semantic Segmentation with Smart Data Selection
https://github.com/tobiaskalb/feature-reuse-css
공식 코드Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions
https://github.com/townim-faisal/fscil-3d
공식 코드Few-shot Class-incremental Learning for 3D Point Cloud Objects
https://github.com/trailab/gmir
공식 코드Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object Detection
https://github.com/tranquyenbk173/TCL
공식 코드Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning
https://github.com/tree-shu-zhao/rebq.pytorch
공식 코드Reconstruct before Query: Continual Missing Modality Learning with Decomposed Prompt Collaboration
https://github.com/trentbrick/sdmcontinuallearner
공식 코드https://github.com/tulerfeng/OTGNet
공식 코드https://github.com/tyler-hayes/Continual-Analogical-Reasoning
공식 코드Selective Replay Enhances Learning in Online Continual Analogical Reasoning
https://github.com/tyler-hayes/Deep_SLDA
공식 코드Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
https://github.com/tyler-hayes/embedded-cl
공식 코드https://github.com/tyxe-bdl/tyxe
공식 코드https://github.com/ubc-tea/continual-impression-ccsi
공식 코드CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning
https://github.com/uber-research/vargp
공식 코드Variational Auto-Regressive Gaussian Processes for Continual Learning
https://github.com/uconn-dsis/survey-of-continual-learning-on-graphs
공식 코드Continual Learning on Graphs: Challenges, Solutions, and Opportunities
https://github.com/ucr-optml/ctrl
공식 코드https://github.com/uic-liu-lab/cpt
공식 코드https://github.com/uic-liu-lab/dga
공식 코드Adapting a Language Model While Preserving its General Knowledge
https://github.com/uic-liu-lab/spg
공식 코드https://github.com/umbertocappellazzo/CL_SLU
공식 코드https://github.com/umbertomichieli/tap-slda
공식 코드https://github.com/usc-cssl/adaptable-problematic-content-detection
공식 코드Towards a Unified Framework for Adaptable Problematic Content Detection via Continual Learning
https://github.com/uvm-neurobotics-lab/ANML
공식 코드https://github.com/valeoai/MuHDi
공식 코드Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation
https://github.com/valeoai/xmuda
공식 코드Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation
https://github.com/valeoai/xmuda_journal
공식 코드Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation
https://github.com/valeriya-khan/looking-through-the-past
공식 코드Looking through the past: better knowledge retention for generative replay in continual learning
https://github.com/versestech/vbgs
공식 코드https://github.com/vgthengane/climb3d
공식 코드CLIMB-3D: Continual Learning for Imbalanced 3D Instance Segmentation
https://github.com/vgthengane/continual-clip
공식 코드https://github.com/vgthengane/gcsl
공식 코드Gradient Correlation Subspace Learning against Catastrophic Forgetting
https://github.com/vict0rsch/LiSS
공식 코드Towards Lifelong Self-Supervision For Unpaired Image-to-Image Translation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.