https://github.com/wangchunliu/drs-pretrained-lmm
공식 코드Pre-Trained Language-Meaning Models for Multilingual Parsing and Generation
Papers with Code 아카이브
Transfer Learning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 4
- 평가표
- 6
- 보존된 평가 기록
- 10
Transfer Learning is a machine learning technique where a model trained on one task is re-purposed and fine-tuned for a related, but different task. The idea behind transfer learning is to leverage the knowledge learned from a pre-trained model to solve a new, but related problem. This can be useful in situations where there is limited data available to train a new model from scratch, or when the new task is similar enough to the original task that the pre-trained model can be adapted to the new problem with only minor modifications.
<span style="color:grey; opacity: 0.6">( Image credit: Subodh Malgonde )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/wangcongcong123/crisis-mtl
공식 코드Transformer-based Multi-task Learning for Disaster Tweet Categorisation
https://github.com/wanghh7/evolunet
공식 코드EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
https://github.com/wangjingyao07/metacrl
공식 코드https://github.com/wangshanshanCQU/MCTL
공식 코드Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation
https://github.com/wangxb96/mel
공식 코드MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection
https://github.com/wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List
공식 코드https://github.com/wangxiao5791509/Single_Object_Tracking_Paper_List
공식 코드Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline
https://github.com/wangxiao5791509/VisEvent_SOT_Benchmark
공식 코드Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline
https://github.com/wangyi111/cvppa2023-dnd-challenge
공식 코드Boosting High Resolution Image Classification with Scaling-up Transformers
https://github.com/wangyijunlyy/selafd
공식 코드SelaFD:Seamless Adaptation of Vision Transformer Fine-tuning for Radar-based Human Activity
https://github.com/wangzilongri/covid-tracking
공식 코드Small Area Estimation of Case Growths for Timely COVID-19 Outbreak Detection
https://github.com/wangzl99/AdaptPrompt
공식 코드https://github.com/wanyu2018umac/UniTE
공식 코드https://github.com/warriordby/lfx
공식 코드https://github.com/wasiahmad/Syntax-MBERT
공식 코드Syntax-augmented Multilingual BERT for Cross-lingual Transfer
https://github.com/wasiahmad/cross_lingual_parsing
공식 코드Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages
https://github.com/waterdisappear/nudt4mstar
공식 코드NUDT4MSTAR: A Large Dataset and Benchmark Towards Remote Sensing Object Recognition in the Wild
https://github.com/wazeerzulfikar/alzheimers-dementia
공식 코드Multimodal Inductive Transfer Learning for Detection of Alzheimer's Dementia and its Severity
https://github.com/wc253/pnpmt
공식 코드Deep Plug-and-Play Prior for Multitask Channel Reconstruction in Massive MIMO Systems
https://github.com/wei-zeng98/piano-a2s
공식 코드End-to-End Real-World Polyphonic Piano Audio-to-Score Transcription with Hierarchical Decoding
https://github.com/weiguangzhao/diff-op3d
공식 코드https://github.com/weijialau/rssn
공식 코드https://github.com/weilabmsu/antoencoder-v01
공식 코드https://github.com/weitianxin/MACR
공식 코드Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
https://github.com/wendongzh/continual_visual_control
공식 코드Predictive Experience Replay for Continual Visual Control and Forecasting
https://github.com/wengbenjue/llms-peft-cook
공식 코드https://github.com/wengsyx/mutualsl
공식 코드Visual Answer Localization with Cross-modal Mutual Knowledge Transfer
https://github.com/wenhua-li/commea
공식 코드Coevolutionary Framework for Generalized Multimodal Multi-objective Optimization
https://github.com/wenhuchen/Cross-Lingual-NBT
공식 코드https://github.com/wenhuchen/KGPT
공식 코드KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation
https://github.com/wenjiaxu/rs_scene_zsl
공식 코드Deep Semantic-Visual Alignment for Zero-Shot Remote Sensing Image Scene Classification
https://github.com/wenjiaxu/vgse
공식 코드VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning
https://github.com/wenliangdai/multi-task-offensive-language-detection
공식 코드Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-Task Learning for Offensive Language Detection
https://github.com/went-liang/unsniffer
공식 코드Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects
https://github.com/wenz116/RefContrast
공식 코드Understanding Synonymous Referring Expressions via Contrastive Features
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.