Image Classification on STL-10

Metric: Percentage correct (higher is better)

LeaderboardDataset

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#	Model↕	Percentage correct▼	Extra Data	Paper	Date↕	Code
1	µ2Net+ (ViT-L/16)	99.64	Yes	A Continual Development Methodology for Large-sc...	2022-09-15	Code
2	kNN-CLIP	99.6	Yes	Revisiting a kNN-based Image Classification Syst...	2022-04-03	-
3	Wide-ResNet-101 (Spinal FC)	98.66	Yes	SpinalNet: Deep Neural Network with Gradual Input	2020-07-07	Code
4	CN(d=128)	98.45	Yes	-	-	-
5	CN(d=64)	98.36	Yes	-	-	-
6	NSRL+CN(d=128)	98.36	Yes	-	-	-
7	NSRL+CN(d=32)	98.34	Yes	-	-	-
8	NSRL+CN(d=64)	98.24	Yes	-	-	-
9	CN(d=32)	98.17	Yes	-	-	-
10	NAT-M4	97.9	Yes	Neural Architecture Transfer	2020-05-12	Code
11	NAT-M3	97.8	Yes	Neural Architecture Transfer	2020-05-12	Code
12	SEER (RegNet10B)	97.3	Yes	Vision Models Are More Robust And Fair When Pret...	2022-02-16	Code
13	NAT-M2	97.2	Yes	Neural Architecture Transfer	2020-05-12	Code
14	iGPT-L	97.1	Yes	-	-	Code
15	NAT-M1	96.7	Yes	Neural Architecture Transfer	2020-05-12	Code
16	EnAET	95.48	Yes	EnAET: A Self-Trained framework for Semi-Supervi...	2019-11-21	Code
17	VGG-19bn	95.44	Yes	SpinalNet: Deep Neural Network with Gradual Input	2020-07-07	Code
18	Diffusion Classifier (zero-shot)	95.4	No	Your Diffusion Model is Secretly a Zero-Shot Cla...	2023-03-28	Code
19	FixMatch (CTA)	94.83	No	FixMatch: Simplifying Semi-Supervised Learning w...	2020-01-21	Code
20	ReMixMatch	94.77	No	FixMatch: Simplifying Semi-Supervised Learning w...	2020-01-21	Code
21	AMDIM	94.5	No	Learning Representations by Maximizing Mutual In...	2019-06-03	Code
22	MixMatch	94.41	No	MixMatch: A Holistic Approach to Semi-Supervised...	2019-05-06	Code
23	AMDIM-L	94.2	Yes	-	-	Code
24	ReMixMatch (K=4)	93.82	No	ReMixMatch: Semi-Supervised Learning with Distri...	2019-11-21	Code
25	AMDIM	93.8	No	A Framework For Contrastive Self-Supervised Lear...	2020-08-31	Code
26	ReMixMatch (K=1)	93.23	No	ReMixMatch: Semi-Supervised Learning with Distri...	2019-11-21	Code
27	MP*	93.19	No	Increasing Trustworthiness of Deep Neural Networ...	2020-07-03	-
28	UDA	92.34	No	FixMatch: Simplifying Semi-Supervised Learning w...	2020-01-21	Code
29	YADIM	92.15	No	A Framework For Contrastive Self-Supervised Lear...	2020-08-31	Code
30	FixMatch (RA)	92.02	No	FixMatch: Simplifying Semi-Supervised Learning w...	2020-01-21	Code
31	NSGANetV2	92	No	NSGANetV2: Evolutionary Multi-Objective Surrogat...	2020-07-20	Code
32	SESN	91.49	No	Scale-Equivariant Steerable Networks	2019-10-14	Code
33	Harmonic WRN-16-8	90.45	No	Harmonic Networks with Limited Training Samples	2019-04-30	Code
34	wrn16/8 D8 D4 D1	90.2	No	General $E(2)$-Equivariant Steerable CNNs	2019-11-19	Code
35	DLME (ResNet-50, linear)	90.1	No	DLME: Deep Local-flatness Manifold Embedding	2022-07-07	Code
36	MixMatch	89.82	No	MixMatch: A Holistic Approach to Semi-Supervised...	2019-05-06	Code
37	MixMatch	89.59	No	FixMatch: Simplifying Semi-Supervised Learning w...	2020-01-21	Code
38	wrn16/8* D8 D4 D1	89.43	No	General $E(2)$-Equivariant Steerable CNNs	2019-11-19	Code
39	wrn16/8* D1 D1 D1	88.95	No	General $E(2)$-Equivariant Steerable CNNs	2019-11-19	Code
40	wrn16/8 D1 D1 D1	88.83	No	General $E(2)$-Equivariant Steerable CNNs	2019-11-19	Code
41	IIC	88.8	No	Invariant Information Clustering for Unsupervise...	2018-07-17	Code
42	IIC	88.8	No	Invariant Information Clustering for Unsupervise...	2018-07-17	Code
43	SOPCNN	88.08	No	Stochastic Optimization of Plain Convolutional N...	2020-01-24	Code
44	TS	88.03	No	Increasing Trustworthiness of Deep Neural Networ...	2020-07-03	-
45	CutOut	87.36	No	MixMatch: A Holistic Approach to Semi-Supervised...	2019-05-06	Code
46	Cutout	87.26	No	Improved Regularization of Convolutional Neural ...	2017-08-15	Code
47	wrn16/8	87.26	No	General $E(2)$-Equivariant Steerable CNNs	2019-11-19	Code
48	Hamiltonian	85.5	No	Reversible Architectures for Arbitrarily Deep Re...	2017-09-12	Code
49	ResNet-18+MM+FRL	85.42	No	Learning Class Unique Features in Fine-Grained V...	2020-11-22	-
50	MidPoint	84.6	No	Reversible Architectures for Arbitrarily Deep Re...	2017-09-12	Code
51	cosine function	84.38	No	-	-	-
52	HybridNet	84.1	No	HybridNet: Classification and Reconstruction Coo...	2018-07-30	-
53	Leapfrog	83.7	No	Reversible Architectures for Arbitrarily Deep Re...	2017-09-12	Code
54	skewing	83.47	No	-	-	-
55	elastic distortion(2)	83.45	No	-	-	-
56	PSLR-knn	83.2	No	-	-	-
57	elastic distortion(1)	83	No	-	-	-
58	ResNet baseline	82	No	HybridNet: Classification and Reconstruction Coo...	2018-07-30	-
59	Greedy InfoMax (GIM)	81.9	No	Putting An End to End-to-End: Gradient-Isolated ...	2019-05-28	Code
60	rotation	81.45	No	-	-	-
61	ResNet18(BN, 4)	81.04	No	Extended Batch Normalization	2020-03-12	-
62	VGG8B + LocalLearning + CO	80.75	No	Training Neural Networks with Local Error Signals	2019-01-20	Code
63	ResNet18(GN, 4)	79.3	No	Extended Batch Normalization	2020-03-12	-
64	PSLR-Linear	78.8	No	-	-	-
65	ResNet18(BN, 128)	78.65	No	Extended Batch Normalization	2020-03-12	-
66	Mean Teacher	78.57	No	FixMatch: Simplifying Semi-Supervised Learning w...	2020-01-21	Code
67	CPC†	78.36	No	A Framework For Contrastive Self-Supervised Lear...	2020-08-31	Code
68	Hamiltonian	78.3	No	Deep Neural Networks Motivated by Partial Differ...	2018-04-12	Code
69	CC-GAN²	77.8	No	Semi-Supervised Learning with Context-Conditiona...	2016-11-19	Code
70	CC-GAN	77.8	No	ReMixMatch: Semi-Supervised Learning with Distri...	2019-11-21	Code
71	Parabolic	77	No	Deep Neural Networks Motivated by Partial Differ...	2018-04-12	Code
72	Scat + WRN 20-8	76.6	No	Scaling the Scattering Transform: Deep Hybrid Ne...	2017-03-27	Code
73	ResNet18(EBN, 4)	76.49	No	Extended Batch Normalization	2020-03-12	-
74	Exemplar CNN	75.7	No	Scaling the Scattering Transform: Deep Hybrid Ne...	2017-03-27	Code
75	ResNet18(EBN, 128)	75.57	No	Extended Batch Normalization	2020-03-12	-
76	Stacked what-where AE	74.33	No	Scaling the Scattering Transform: Deep Hybrid Ne...	2017-03-27	Code
77	SWWAE	74.33	No	HybridNet: Classification and Reconstruction Coo...	2018-07-30	-
78	SWWAE	74.3	No	Stacked What-Where Auto-encoders	2015-06-08	Code
79	SWWAE	74.3	No	Stacked What-Where Auto-encoders	2015-06-08	Code
80	Second-order	74.3	No	Deep Neural Networks Motivated by Partial Differ...	2018-04-12	Code
81	Convolutional Clustering	74.1	No	Convolutional Clustering for Unsupervised Learning	2015-11-19	-
82	Π-Model	73.77	No	FixMatch: Simplifying Semi-Supervised Learning w...	2020-01-21	Code
83	Discriminative Unsupervised Feature Learning with Convolutional Neural Networks	72.8	No	-	-	Code
84	ResNet18(GN, 128)	72.66	No	Extended Batch Normalization	2020-03-12	-
85	Pseudo-Labeling	72.01	No	FixMatch: Simplifying Semi-Supervised Learning w...	2020-01-21	Code
86	Entropy	71.65	No	Increasing Trustworthiness of Deep Neural Networ...	2020-07-03	-
87	BDW	71.12	No	Don't Wait, Just Weight: Improving Unsupervised ...	2020-06-22	-
88	MP	71.05	No	Increasing Trustworthiness of Deep Neural Networ...	2020-07-03	-
89	WaveMixLite-256/7	70.88	No	WaveMix: A Resource-efficient Neural Network for...	2022-05-28	Code
90	CNN	70.7	No	Scaling the Scattering Transform: Deep Hybrid Ne...	2017-03-27	Code
91	An Analysis of Unsupervised Pre-training in Light of Recent Advances	70.2	No	An Analysis of Unsupervised Pre-training in Ligh...	2014-12-20	Code
92	Multi-Task Bayesian Optimization	70.1	No	-	-	Code
93	NN-Weighter	69.15	No	Don't Wait, Just Weight: Improving Unsupervised ...	2020-06-22	-
94	Accuracy Monitoring	68.62	No	Increasing Trustworthiness of Deep Neural Networ...	2020-07-03	-
95	C-SVDDNet	68.2	No	Unsupervised Feature Learning with C-SVDDNet	2014-12-23	-
96	RotNet	68.19	No	Don't Wait, Just Weight: Improving Unsupervised ...	2020-06-22	-
97	DFF Committees	68	No	Committees of deep feedforward networks trained ...	2014-06-23	-
98	Hierarchical Matching Pursuit (HMP)	64.6	No	Scaling the Scattering Transform: Deep Hybrid Ne...	2017-03-27	Code
99	L2RW	63.13	No	Don't Wait, Just Weight: Improving Unsupervised ...	2020-06-22	-
100	Discriminative Learning of Sum-Product Networks	62.3	No	-	-	-
101	CKN	62.3	No	Convolutional Kernel Networks	2014-06-12	-
102	S-CNN	61.94	No	Selective Unsupervised Feature Learning with Con...	2016-06-07	-
103	Simulated Fixations	61	No	A Framework For Contrastive Self-Supervised Lear...	2020-08-31	Code
104	No more meta-parameter tuning in unsupervised sparse feature learning	61	No	No more meta-parameter tuning in unsupervised sp...	2014-02-24	-
105	Convolutional K-means Network	60.2	No	Scaling the Scattering Transform: Deep Hybrid Ne...	2017-03-27	Code
106	Receptive Fields	60.1	No	-	-	-
107	PWD	59.45	No	Effective Version Space Reduction for Convolutio...	2020-06-22	-
108	GVD	59.33	No	Effective Version Space Reduction for Convolutio...	2020-06-22	-
109	VR	59.13	No	Effective Version Space Reduction for Convolutio...	2020-06-22	-
110	Core SET	58.93	No	Effective Version Space Reduction for Convolutio...	2020-06-22	-
111	GE	58.84	No	Effective Version Space Reduction for Convolutio...	2020-06-22	-
112	DFAL	58.81	No	Effective Version Space Reduction for Convolutio...	2020-06-22	-
113	Random	58.15	No	Effective Version Space Reduction for Convolutio...	2020-06-22	-
114	BALD-MCD	57.35	No	Effective Version Space Reduction for Convolutio...	2020-06-22	-
115	Sign-symmetry	57.32	No	How Important is Weight Symmetry in Backpropagat...	2015-10-17	Code
116	M2-PWD	57.31	No	Effective Version Space Reduction for Convolutio...	2020-06-22	-
117	soft ica	52.9	No	-	-	-

#1µ2Net+ (ViT-L/16)SOTA
99.64
Percentage correct· Extra Data· 2022-09-15
A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems Code
#2kNN-CLIPSOTA
99.6
Percentage correct· Extra Data· 2022-04-03
Revisiting a kNN-based Image Classification System with High-capacity Storage
#3Wide-ResNet-101 (Spinal FC)SOTA
98.66
Percentage correct· Extra Data· 2020-07-07
SpinalNet: Deep Neural Network with Gradual Input Code
#4CN(d=128)
98.45
Percentage correct· Extra Data
No paper
#5CN(d=64)
98.36
Percentage correct· Extra Data
No paper
#6NSRL+CN(d=128)
98.36
Percentage correct· Extra Data
No paper
#7NSRL+CN(d=32)
98.34
Percentage correct· Extra Data
No paper
#8NSRL+CN(d=64)
98.24
Percentage correct· Extra Data
No paper
#9CN(d=32)
98.17
Percentage correct· Extra Data
No paper
#10NAT-M4SOTA
97.9
Percentage correct· Extra Data· 2020-05-12
Neural Architecture Transfer Code
#11NAT-M3
97.8
Percentage correct· Extra Data· 2020-05-12
Neural Architecture Transfer Code
#12SEER (RegNet10B)
97.3
Percentage correct· Extra Data· 2022-02-16
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision Code
#13NAT-M2
97.2
Percentage correct· Extra Data· 2020-05-12
Neural Architecture Transfer Code
#14iGPT-L
97.1
Percentage correct· Extra Data
No paperCode
#15NAT-M1
96.7
Percentage correct· Extra Data· 2020-05-12
Neural Architecture Transfer Code
#16EnAETSOTA
95.48
Percentage correct· Extra Data· 2019-11-21
EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations Code
#17VGG-19bn
95.44
Percentage correct· Extra Data· 2020-07-07
SpinalNet: Deep Neural Network with Gradual Input Code
#18Diffusion Classifier (zero-shot)
95.4
Percentage correct· 2023-03-28
Your Diffusion Model is Secretly a Zero-Shot Classifier Code
#19FixMatch (CTA)
94.83
Percentage correct· 2020-01-21
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Code
#20ReMixMatch
94.77
Percentage correct· 2020-01-21
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Code
#21AMDIMSOTA
94.5
Percentage correct· 2019-06-03
Learning Representations by Maximizing Mutual Information Across Views Code
#22MixMatchSOTA
94.41
Percentage correct· 2019-05-06
MixMatch: A Holistic Approach to Semi-Supervised Learning Code
#23AMDIM-L
94.2
Percentage correct· Extra Data
No paperCode
#24ReMixMatch (K=4)
93.82
Percentage correct· 2019-11-21
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring Code
#25AMDIM
93.8
Percentage correct· 2020-08-31
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach Code
#26ReMixMatch (K=1)
93.23
Percentage correct· 2019-11-21
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring Code
#27MP*
93.19
Percentage correct· 2020-07-03
Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring
#28UDA
92.34
Percentage correct· 2020-01-21
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Code
#29YADIM
92.15
Percentage correct· 2020-08-31
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach Code
#30FixMatch (RA)
92.02
Percentage correct· 2020-01-21
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Code
#31NSGANetV2
92
Percentage correct· 2020-07-20
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search Code
#32SESN
91.49
Percentage correct· 2019-10-14
Scale-Equivariant Steerable Networks Code
#33Harmonic WRN-16-8SOTA
90.45
Percentage correct· 2019-04-30
Harmonic Networks with Limited Training Samples Code
#34wrn16/8 D8 D4 D1
90.2
Percentage correct· 2019-11-19
General $E(2)$-Equivariant Steerable CNNs Code
#35DLME (ResNet-50, linear)
90.1
Percentage correct· 2022-07-07
DLME: Deep Local-flatness Manifold Embedding Code
#36MixMatch
89.82
Percentage correct· 2019-05-06
MixMatch: A Holistic Approach to Semi-Supervised Learning Code
#37MixMatch
89.59
Percentage correct· 2020-01-21
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Code
#38wrn16/8* D8 D4 D1
89.43
Percentage correct· 2019-11-19
General $E(2)$-Equivariant Steerable CNNs Code
#39wrn16/8* D1 D1 D1
88.95
Percentage correct· 2019-11-19
General $E(2)$-Equivariant Steerable CNNs Code
#40wrn16/8 D1 D1 D1
88.83
Percentage correct· 2019-11-19
General $E(2)$-Equivariant Steerable CNNs Code
#41IICSOTA
88.8
Percentage correct· 2018-07-17
Invariant Information Clustering for Unsupervised Image Classification and Segmentation Code
#42IIC
88.8
Percentage correct· 2018-07-17
Invariant Information Clustering for Unsupervised Image Classification and Segmentation Code
#43SOPCNN
88.08
Percentage correct· 2020-01-24
Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods Code
#44TS
88.03
Percentage correct· 2020-07-03
Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring
#45CutOut
87.36
Percentage correct· 2019-05-06
MixMatch: A Holistic Approach to Semi-Supervised Learning Code
#46CutoutSOTA
87.26
Percentage correct· 2017-08-15
Improved Regularization of Convolutional Neural Networks with Cutout Code
#47wrn16/8
87.26
Percentage correct· 2019-11-19
General $E(2)$-Equivariant Steerable CNNs Code
#48Hamiltonian
85.5
Percentage correct· 2017-09-12
Reversible Architectures for Arbitrarily Deep Residual Neural Networks Code
#49ResNet-18+MM+FRL
85.42
Percentage correct· 2020-11-22
Learning Class Unique Features in Fine-Grained Visual Classification
#50MidPoint
84.6
Percentage correct· 2017-09-12
Reversible Architectures for Arbitrarily Deep Residual Neural Networks Code
#51cosine function
84.38
Percentage correct
No paper
#52HybridNet
84.1
Percentage correct· 2018-07-30
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning
#53Leapfrog
83.7
Percentage correct· 2017-09-12
Reversible Architectures for Arbitrarily Deep Residual Neural Networks Code
#54skewing
83.47
Percentage correct
No paper
#55elastic distortion(2)
83.45
Percentage correct
No paper
#56PSLR-knn
83.2
Percentage correct
No paper
#57elastic distortion(1)
83
Percentage correct
No paper
#58ResNet baseline
82
Percentage correct· 2018-07-30
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning
#59Greedy InfoMax (GIM)
81.9
Percentage correct· 2019-05-28
Putting An End to End-to-End: Gradient-Isolated Learning of Representations Code
#60rotation
81.45
Percentage correct
No paper
#61ResNet18(BN, 4)
81.04
Percentage correct· 2020-03-12
Extended Batch Normalization
#62VGG8B + LocalLearning + CO
80.75
Percentage correct· 2019-01-20
Training Neural Networks with Local Error Signals Code
#63ResNet18(GN, 4)
79.3
Percentage correct· 2020-03-12
Extended Batch Normalization
#64PSLR-Linear
78.8
Percentage correct
No paper
#65ResNet18(BN, 128)
78.65
Percentage correct· 2020-03-12
Extended Batch Normalization
#66Mean Teacher
78.57
Percentage correct· 2020-01-21
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Code
#67CPC†
78.36
Percentage correct· 2020-08-31
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach Code
#68Hamiltonian
78.3
Percentage correct· 2018-04-12
Deep Neural Networks Motivated by Partial Differential Equations Code
#69CC-GAN²SOTA
77.8
Percentage correct· 2016-11-19
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks Code
#70CC-GAN
77.8
Percentage correct· 2019-11-21
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring Code
#71Parabolic
77
Percentage correct· 2018-04-12
Deep Neural Networks Motivated by Partial Differential Equations Code
#72Scat + WRN 20-8
76.6
Percentage correct· 2017-03-27
Scaling the Scattering Transform: Deep Hybrid Networks Code
#73ResNet18(EBN, 4)
76.49
Percentage correct· 2020-03-12
Extended Batch Normalization
#74Exemplar CNN
75.7
Percentage correct· 2017-03-27
Scaling the Scattering Transform: Deep Hybrid Networks Code
#75ResNet18(EBN, 128)
75.57
Percentage correct· 2020-03-12
Extended Batch Normalization
#76Stacked what-where AE
74.33
Percentage correct· 2017-03-27
Scaling the Scattering Transform: Deep Hybrid Networks Code
#77SWWAE
74.33
Percentage correct· 2018-07-30
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning
#78SWWAESOTA
74.3
Percentage correct· 2015-06-08
Stacked What-Where Auto-encoders Code
#79SWWAE
74.3
Percentage correct· 2015-06-08
Stacked What-Where Auto-encoders Code
#80Second-order
74.3
Percentage correct· 2018-04-12
Deep Neural Networks Motivated by Partial Differential Equations Code
#81Convolutional Clustering
74.1
Percentage correct· 2015-11-19
Convolutional Clustering for Unsupervised Learning
#82Π-Model
73.77
Percentage correct· 2020-01-21
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Code
#83Discriminative Unsupervised Feature Learning with Convolutional Neural Networks
72.8
Percentage correct
No paperCode
#84ResNet18(GN, 128)
72.66
Percentage correct· 2020-03-12
Extended Batch Normalization
#85Pseudo-Labeling
72.01
Percentage correct· 2020-01-21
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Code
#86Entropy
71.65
Percentage correct· 2020-07-03
Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring
#87BDW
71.12
Percentage correct· 2020-06-22
Don't Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights
#88MP
71.05
Percentage correct· 2020-07-03
Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring
#89WaveMixLite-256/7
70.88
Percentage correct· 2022-05-28
WaveMix: A Resource-efficient Neural Network for Image Analysis Code
#90CNN
70.7
Percentage correct· 2017-03-27
Scaling the Scattering Transform: Deep Hybrid Networks Code
#91An Analysis of Unsupervised Pre-training in Light of Recent AdvancesSOTA
70.2
Percentage correct· 2014-12-20
An Analysis of Unsupervised Pre-training in Light of Recent Advances Code
#92Multi-Task Bayesian Optimization
70.1
Percentage correct
No paperCode
#93NN-Weighter
69.15
Percentage correct· 2020-06-22
Don't Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights
#94Accuracy Monitoring
68.62
Percentage correct· 2020-07-03
Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring
#95C-SVDDNet
68.2
Percentage correct· 2014-12-23
Unsupervised Feature Learning with C-SVDDNet
#96RotNet
68.19
Percentage correct· 2020-06-22
Don't Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights
#97DFF CommitteesSOTA
68
Percentage correct· 2014-06-23
Committees of deep feedforward networks trained with few data
#98Hierarchical Matching Pursuit (HMP)
64.6
Percentage correct· 2017-03-27
Scaling the Scattering Transform: Deep Hybrid Networks Code
#99L2RW
63.13
Percentage correct· 2020-06-22
Don't Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights
#100Discriminative Learning of Sum-Product Networks
62.3
Percentage correct
No paper
#101CKNSOTA
62.3
Percentage correct· 2014-06-12
Convolutional Kernel Networks
#102S-CNN
61.94
Percentage correct· 2016-06-07
Selective Unsupervised Feature Learning with Convolutional Neural Network (S-CNN)
#103Simulated Fixations
61
Percentage correct· 2020-08-31
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach Code
#104No more meta-parameter tuning in unsupervised sparse feature learningSOTA
61
Percentage correct· 2014-02-24
No more meta-parameter tuning in unsupervised sparse feature learning
#105Convolutional K-means Network
60.2
Percentage correct· 2017-03-27
Scaling the Scattering Transform: Deep Hybrid Networks Code
#106Receptive Fields
60.1
Percentage correct
No paper
#107PWD
59.45
Percentage correct· 2020-06-22
Effective Version Space Reduction for Convolutional Neural Networks
#108GVD
59.33
Percentage correct· 2020-06-22
Effective Version Space Reduction for Convolutional Neural Networks
#109VR
59.13
Percentage correct· 2020-06-22
Effective Version Space Reduction for Convolutional Neural Networks
#110Core SET
58.93
Percentage correct· 2020-06-22
Effective Version Space Reduction for Convolutional Neural Networks
#111GE
58.84
Percentage correct· 2020-06-22
Effective Version Space Reduction for Convolutional Neural Networks
#112DFAL
58.81
Percentage correct· 2020-06-22
Effective Version Space Reduction for Convolutional Neural Networks
#113Random
58.15
Percentage correct· 2020-06-22
Effective Version Space Reduction for Convolutional Neural Networks
#114BALD-MCD
57.35
Percentage correct· 2020-06-22
Effective Version Space Reduction for Convolutional Neural Networks
#115Sign-symmetry
57.32
Percentage correct· 2015-10-17
How Important is Weight Symmetry in Backpropagation?Code
#116M2-PWD
57.31
Percentage correct· 2020-06-22
Effective Version Space Reduction for Convolutional Neural Networks
#117soft ica
52.9
Percentage correct
No paper