https://github.com/seunghwan1228/CNN_EfficientNet
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
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algorithme utiliser
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
FedMD: Heterogenous Federated Learning via Model Distillation
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
RoMA: Robust Model Adaptation for Offline Model-based Optimization
Robust model training and generalisation with Studentising flows
A Convolutional Encoder Model for Neural Machine Translation
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Downstream Model Design of Pre-trained Language Model for Relation Extraction Task
A Decomposable Attention Model for Natural Language Inference
SpeechLMScore: Evaluating speech generation using speech language model
Pre-trained Language Model for Biomedical Question Answering
Diffusion Model Alignment Using Direct Preference Optimization
A Decomposable Attention Model for Natural Language Inference
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.