HyperAI
HyperAI초신경
홈
뉴스
최신 연구 논문
튜토리얼
데이터셋
백과사전
SOTA
LLM 모델
GPU 랭킹
컨퍼런스
전체 검색
소개
한국어
HyperAI
HyperAI초신경
Toggle sidebar
전체 사이트 검색...
⌘
K
홈
SOTA
네트워크 프루닝
Network Pruning On Imagenet Resnet 50 90
Network Pruning On Imagenet Resnet 50 90
평가 지표
Top-1 Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
Top-1 Accuracy
Paper Title
Repository
Feather
76.93
Feather: An Elegant Solution to Effective DNN Sparsification
-
AC/DC
75.64
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks
-
GMP
73.91
Soft Threshold Weight Reparameterization for Learnable Sparsity
-
CS
75.5
Winning the Lottery with Continuous Sparsification
-
ST-3
76.03
Are Straight-Through gradients and Soft-Thresholding all you need for Sparse Training?
-
ProbMask
74.68
Effective Sparsification of Neural Networks with Global Sparsity Constraint
-
STR
74.31
Soft Threshold Weight Reparameterization for Learnable Sparsity
-
DNW
74
Discovering Neural Wirings
-
Spartan
76.17
Spartan: Differentiable Sparsity via Regularized Transportation
-
0 of 9 row(s) selected.
Previous
Next
Network Pruning On Imagenet Resnet 50 90 | SOTA | HyperAI초신경