Papers with Code 아카이브
Data-free Knowledge Distillation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 2
- 보존된 평가 기록
- 8
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/RichardChangCA/CSI_5386_NLP_Project
https://github.com/RuiminChen/centernet
https://github.com/SamuelGong/federated-learning-system-literature
Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies
https://github.com/SatyamGaba/lt_od
https://github.com/Saurabh2805/kdd_cup_99
Benchmarking datasets for Anomaly-based Network Intrusion Detection: KDD CUP 99 alternatives
https://github.com/ScandEval/ScandEval
ScandEval: A Benchmark for Scandinavian Natural Language Processing
https://github.com/SeHwanJoo/mmdetection_vinbig
https://github.com/SebasGarcia08/sku110-dense-object-mmdetection
https://github.com/SeventeenChen/fashionMNIST_CNN_master
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
https://github.com/SeventeenChen/fashionMNIST_LeNet_master
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
https://github.com/SeventeenChen/fashionMNIST_ResNet_master
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
https://github.com/SforAiDl/CountCLIP
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/ShashwatNigam99/MARBLER
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks
https://github.com/Shi-qingyu/DeT
Decouple and Track: Benchmarking and Improving Video Diffusion Transformers for Motion Transfer
https://github.com/Sim-ai/mmdetection2
https://github.com/SiriusKY/SceneTextDetector
https://github.com/Sivaneshmsc/FashionMNIST
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
https://github.com/SmartDataAnalytics/PyKEEN
https://github.com/Soft953/MedicalSegmentationDecathlon
https://github.com/Stanch-LX/mmdetection
https://github.com/Stanford-AIMI/CheXagent
A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation
https://github.com/StanfordVL/GibsonSim2RealCallenge
https://github.com/StanfordVL/GibsonSim2RealChallenge
https://github.com/StanfordVL/iGibsonChallenge2021
https://github.com/Stsh4lson/TOM-2020
https://github.com/Sudhir11292rt/City-scale-Road-Audit
https://github.com/Sunnyzhr/habitat-lab
https://github.com/Superminionsfy/Personalized-Data-Generation-using-GAN
https://github.com/SwarajPawar/Discrete-BCQ
https://github.com/TYtrack/FedNLP
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks
https://github.com/TangDL/mmdetection
https://github.com/TeamLab/bert-gcn-for-paper-citation
A Context-Aware Citation Recommendation Model with BERT and Graph Convolutional Networks
https://github.com/Tony607/mmdetection
https://github.com/TsingZ0/GFL
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
https://github.com/TsingZ0/PFL-Non-IID
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.