Efficient Pruning of Large Language Model with Adaptive Estimation Fusion
Large language models (LLMs) have become crucial for many generative downstream
tasks, leading to an inevitable trend and significant challenge to deploy them efficiently on …
tasks, leading to an inevitable trend and significant challenge to deploy them efficiently on …
Optimization-based Structural Pruning for Large Language Models without Back-Propagation
Compared to the moderate size of neural network models, structural weight pruning on the
Large-Language Models (LLMs) imposes a novel challenge on the efficiency of the pruning …
Large-Language Models (LLMs) imposes a novel challenge on the efficiency of the pruning …
HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning
Structured pruning is one of the most popular approaches to effectively compress the heavy
deep neural networks (DNNs) into compact sub-networks while retaining performance. The …
deep neural networks (DNNs) into compact sub-networks while retaining performance. The …
[PDF][PDF] Transformer 의개별가지치기를이용한효율적인이미지캡셔닝기법
권오설 - 방송공학회논문지, 2024 - ksbe-jbe.org
요 약본 논문에서는 이미지 캡셔닝에서 개별 가지치기 기법을 통해 효율적인 트랜스포머
네트워크를 제안한다. 일반적으로 이미지 캡션모델은 사전 학습된 CNN 인코더, 트랜스포머 …
네트워크를 제안한다. 일반적으로 이미지 캡션모델은 사전 학습된 CNN 인코더, 트랜스포머 …