Papers with Code 아카이브
Lifelong learning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lgalke/lifelong-learning
공식 코드Lifelong Learning of Graph Neural Networks for Open-World Node Classification
https://github.com/lifelong-learning-systems/l2explorer
공식 코드L2Explorer: A Lifelong Reinforcement Learning Assessment Environment
https://github.com/lifelong-ml/elirl
공식 코드https://github.com/lifelong-ml/mendez2022modularlifelongrl
공식 코드Lifelong Machine Learning of Functionally Compositional Structures
https://github.com/lifelonglab/lifelong-anomaly-detection-scenarios
공식 코드Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights
https://github.com/linhaowei1/clog
공식 코드CLoG: Benchmarking Continual Learning of Image Generation Models
https://github.com/llangnickel/weaver
공식 코드https://github.com/martin-wey/codell-dataset
공식 코드CodeLL: A Lifelong Learning Dataset to Support the Co-Evolution of Data and Language Models of Code
https://github.com/martinbarry59/gateonmnist
공식 코드Context selectivity with dynamic availability enables lifelong continual learning
https://github.com/mattdl/continualevaluation
공식 코드Continual evaluation for lifelong learning: Identifying the stability gap
https://github.com/maximecb/gym-miniworld
공식 코드Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning
https://github.com/meryemmhamdi1/x-continuous-learning
공식 코드https://github.com/microsoft/petridishnn
공식 코드https://github.com/ml-jku/reactive-exploration
공식 코드Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning
https://github.com/ml-research/bowll
공식 코드https://github.com/mlzxy/flowdino
공식 코드Optical Flow boosts Unsupervised Localization and Segmentation
https://github.com/mu-y/lll-tts
공식 코드Towards Lifelong Learning of Multilingual Text-To-Speech Synthesis
https://github.com/neu-spiral/LPSforLifelong
공식 코드https://github.com/neurai-lab/dn4il-dataset
공식 코드Dual Cognitive Architecture: Incorporating Biases and Multi-Memory Systems for Lifelong Learning
https://github.com/neurai-lab/duca
공식 코드Dual Cognitive Architecture: Incorporating Biases and Multi-Memory Systems for Lifelong Learning
https://github.com/neurai-lab/esmer
공식 코드https://github.com/neurai-lab/scommer
공식 코드https://github.com/neurai-lab/tamil
공식 코드Task-Aware Information Routing from Common Representation Space in Lifelong Learning
https://github.com/neurodata/ProgLearn
공식 코드https://github.com/niccobiondi/compatiblelifelongrepresentation
공식 코드https://github.com/oozdenizci/pall
공식 코드https://github.com/orienfish/lifehd
공식 코드Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing
https://github.com/orienfish/scale
공식 코드SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge
https://github.com/peijy/libog
공식 코드https://github.com/pgcool/Lifelong-Neural-Topic-Modeling
공식 코드https://github.com/pranshu28/TAG
공식 코드https://github.com/prog-autom/hidden-demo
공식 코드Analysis of hidden feedback loops in continuous machine learning systems
https://github.com/qianlima-lab/awesome-lifelong-learning-methods-for-llm
공식 코드Towards Lifelong Learning of Large Language Models: A Survey
https://github.com/qianlima-lab/awesome-lifelong-llm-agent
공식 코드Lifelong Learning of Large Language Model based Agents: A Roadmap
https://github.com/qizhou000/RECIPE
공식 코드Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.