Papers with Code 아카이브
model
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
algorithme utiliser
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sabagh1994/pgvae
공식 코드Robust Model-Based Optimization for Challenging Fitness Landscapes
https://github.com/sacktock/ambs
공식 코드Approximate Model-Based Shielding for Safe Reinforcement Learning
https://github.com/saerdna-se/consistency-criterion
공식 코드https://github.com/saerdna-se/itmc
공식 코드How consistent is my model with the data? Information-Theoretic Model Check
https://github.com/saic-fi/bayesian-prompt-learning
공식 코드Bayesian Prompt Learning for Image-Language Model Generalization
https://github.com/saiffanwar/MASALA
공식 코드MASALA: Model-Agnostic Surrogate Explanations by Locality Adaptation
https://github.com/saifhitawala/ResNeXt
공식 코드Evaluating ResNeXt Model Architecture for Image Classification
https://github.com/sail-sg/fdm
공식 코드https://github.com/saintslab/bmrs-structured-pruning
공식 코드https://github.com/sakanaai/evolutionary-model-merge
공식 코드https://github.com/salesforce/simpletod
공식 코드https://github.com/salesforce/srma
공식 코드https://github.com/samxuxiang/hnc-cad
공식 코드Hierarchical Neural Coding for Controllable CAD Model Generation
https://github.com/sanaelotfi/bayesian_model_comparison
공식 코드Bayesian Model Selection, the Marginal Likelihood, and Generalization
https://github.com/sanjaykariyappa/adaptive_misinformation
공식 코드Defending Against Model Stealing Attacks with Adaptive Misinformation
https://github.com/sansan-inc/lighthergm
공식 코드https://github.com/sarah-keren/rlpe
공식 코드https://github.com/sayakmukherjee/mapl
공식 코드https://github.com/sberbank-ai/ru-gpts
공식 코드https://github.com/scalable-model-editing/rebuilding-rome
공식 코드Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing
https://github.com/scalable-model-editing/unified-model-editing
공식 코드https://github.com/scaledfoundations/matmamba
공식 코드https://github.com/scccc21/knowledge-enriched-dmi
공식 코드https://github.com/sciforce/phones-las
공식 코드https://github.com/scir-hi/huatuo-llama-med-chinese
공식 코드https://github.com/sdoerrich97/rethinking-model-prototyping-medmnistplus
공식 코드Rethinking model prototyping through the MedMNIST+ dataset collection
https://github.com/seanrsinclair/AdaptiveQLearning
공식 코드Adaptive Discretization for Model-Based Reinforcement Learning
https://github.com/sebastian-nehrdich/byt5-sanskrit-analyzers
공식 코드One Model is All You Need: ByT5-Sanskrit, a Unified Model for Sanskrit NLP Tasks
https://github.com/sekeunkim/echofm
공식 코드EchoFM: Foundation Model for Generalizable Echocardiogram Analysis
https://github.com/selimfirat/oac-based-private-ensembles
공식 코드https://github.com/sensorlab/MRM3
공식 코드https://github.com/sensorlab/autopathloss
공식 코드https://github.com/seohongpark/pma
공식 코드https://github.com/seominseok0429/Implicit-Stacked-Autoregressive-Model-for-Video-Prediction
공식 코드https://github.com/seonmokim/SearchMC
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.