Papers with Code · CC BY-SA 4.0

STL-10

아카이브 평가 117건 · 마지막 적재/변경 2026-10-30

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
An Analysis of Unsupervised Pre-training in Light of Recent Advances	Percentage correct 70.2	An Analysis of Unsupervised Pre-training in Light of Recent Advances 2014-12-20	코드 1 · 코드 2
Multi-Task Bayesian Optimization	Percentage correct 70.1	Multi-Task Bayesian Optimization 2013-12-01	코드 1
NN-Weighter	Percentage correct 69.15	Don’t Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights 2020-06-22	연결 없음
Accuracy Monitoring	Percentage correct 68.62	Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring 2020-07-03	연결 없음
C-SVDDNet	Percentage correct 68.2	Unsupervised Feature Learning with C-SVDDNet 2014-12-23	연결 없음
RotNet	Percentage correct 68.19	Don’t Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights 2020-06-22	연결 없음
DFF Committees	Percentage correct 68	Committees of deep feedforward networks trained with few data 2014-06-23	연결 없음
Hierarchical Matching Pursuit (HMP)	Percentage correct 64.6	Scaling the Scattering Transform: Deep Hybrid Networks 2017-03-27	코드 1 · 코드 2
L2RW	Percentage correct 63.13	Don’t Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights 2020-06-22	연결 없음
Discriminative Learning of Sum-Product Networks	Percentage correct 62.3	Discriminative Learning of Sum-Product Networks 2011-01-01	연결 없음
CKN	Percentage correct 62.3	Convolutional Kernel Networks 2014-06-12	연결 없음
S-CNN	Percentage correct 61.94	Selective Unsupervised Feature Learning with Convolutional Neural Network (S-CNN) 2016-06-07	연결 없음
Simulated Fixations	Percentage correct 61	A Framework For Contrastive Self-Supervised Learning And Designing A New Approach 2020-08-31	코드 1 · 코드 2
No more meta-parameter tuning in unsupervised sparse feature learning	Percentage correct 61	No more meta-parameter tuning in unsupervised sparse feature learning 2014-02-24	연결 없음
Convolutional K-means Network	Percentage correct 60.2	Scaling the Scattering Transform: Deep Hybrid Networks 2017-03-27	코드 1 · 코드 2
Receptive Fields	Percentage correct 60.1	Receptive Fields without Spike-Triggering 2007-12-01	연결 없음
PWD	Percentage correct 59.45	Effective Version Space Reduction for Convolutional Neural Networks 2020-06-22	연결 없음
GVD	Percentage correct 59.33	Effective Version Space Reduction for Convolutional Neural Networks 2020-06-22	연결 없음
VR	Percentage correct 59.13	Effective Version Space Reduction for Convolutional Neural Networks 2020-06-22	연결 없음
Core SET	Percentage correct 58.93	Effective Version Space Reduction for Convolutional Neural Networks 2020-06-22	연결 없음
GE	Percentage correct 58.84	Effective Version Space Reduction for Convolutional Neural Networks 2020-06-22	연결 없음
DFAL	Percentage correct 58.81	Effective Version Space Reduction for Convolutional Neural Networks 2020-06-22	연결 없음
Random	Percentage correct 58.15	Effective Version Space Reduction for Convolutional Neural Networks 2020-06-22	연결 없음
BALD-MCD	Percentage correct 57.35	Effective Version Space Reduction for Convolutional Neural Networks 2020-06-22	연결 없음
Sign-symmetry	Percentage correct 57.32	How Important is Weight Symmetry in Backpropagation? 2015-10-17	코드 1 · 코드 2
M2-PWD	Percentage correct 57.31	Effective Version Space Reduction for Convolutional Neural Networks 2020-06-22	연결 없음
soft ica	Percentage correct 52.9	ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning 2011-12-01	연결 없음