Click-Through Rate Prediction on Criteo

Metric: AUC (higher is better)

LeaderboardDataset

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Results

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#	Model↕	AUC▼	Extra Data	Paper	Date↕	Code
1	QNN-α	0.8163	No	Revisiting Feature Interactions from the Perspec...	2025-05-23	Code
2	FCN	0.8162	No	FCN: Fusing Exponential and Linear Cross Network...	2024-07-18	Code
3	GDCN	0.8161	No	Towards Deeper, Lighter and Interpretable Cross ...	2023-11-08	Code
4	MemoNet	0.8152	No	MemoNet: Memorizing All Cross Features' Represen...	2022-10-25	Code
5	TF4CTR	0.815	No	TF4CTR: Twin Focus Framework for CTR Prediction ...	2024-05-06	Code
6	FinalMLP + MMBAttn	0.81497	No	MMBAttn: Max-Mean and Bit-wise Attention for CTR...	2023-08-25	-
7	FinalMLP	0.8149	No	FinalMLP: An Enhanced Two-Stream MLP Model for C...	2023-04-03	Code
8	CETN	0.8148	No	CETN: Contrast-enhanced Through Network for CTR ...	2023-12-15	Code
9	STEC	0.8143	No	STEC: See-Through Transformer-based Encoder for ...	2023-08-29	-
10	DNN + MMBAttn	0.8143	No	MMBAttn: Max-Mean and Bit-wise Attention for CTR...	2023-08-25	-
11	MaskNet	0.8131	No	MaskNet: Introducing Feature-Wise Multiplication...	2021-02-09	Code
12	DeepLight	0.8123	No	DeepLight: Deep Lightweight Feature Interactions...	2020-02-17	Code
13	CELS	0.8117	No	-	-	Code
14	OptFS	0.8116	No	Optimizing Feature Set for Click-Through Rate Pr...	2023-01-26	Code
15	DCN V2	0.8115	No	DCN V2: Improved Deep & Cross Network and Practi...	2020-08-19	Code
16	OptEmbed	0.8114	No	OptEmbed: Learning Optimal Embedding Table for C...	2022-08-09	Code
17	ContextNet	0.8113	No	ContextNet: A Click-Through Rate Prediction Fram...	2021-07-26	Code
18	FiBiNet++	0.811	No	FiBiNet++: Reducing Model Size by Low Rank Featu...	2022-09-12	Code
19	NormDNN	0.8107	No	Correct Normalization Matters: Understanding the...	2020-06-23	Code
20	DeepFFM	0.8104	No	FAT-DeepFFM: Field Attentive Deep Field-aware Fa...	2019-05-15	Code
21	FiBiNET	0.8103	No	FiBiNET: Combining Feature Importance and Biline...	2019-05-23	Code
22	OptInter	0.8101	No	Memorize, Factorize, or be Naïve: Learning Optim...	2021-08-03	Code
23	GateNet	0.81	No	GateNet: Gating-Enhanced Deep Network for Click-...	2020-07-06	Code
24	AFN+	0.8074	No	Adaptive Factorization Network: Learning Adaptiv...	2019-09-07	Code
25	XCrossNet	0.8067	No	XCrossNet: Feature Structure-Oriented Learning f...	2021-04-22	Code
26	Fi-GNN	0.8062	No	Fi-GNN: Modeling Feature Interactions via Graph ...	2019-10-12	Code
27	AutoInt	0.8061	No	AutoInt: Automatic Feature Interaction Learning ...	2018-10-29	Code
28	Clustered Compositional Embeddings	0.806	No	Clustering the Sketch: A Novel Approach to Embed...	2022-10-12	Code
29	xDeepFM	0.8052	No	xDeepFM: Combining Explicit and Implicit Feature...	2018-03-14	Code
30	WMLFF	0.804	No	Weighted Multi-Level Feature Factorization for A...	2023-08-03	Code
31	FINN	0.802	No	Feature Interaction based Neural Network for Cli...	2020-06-07	-
32	AutoDeepFM(3rd)	0.801	No	AutoFIS: Automatic Feature Interaction Selection...	2020-03-25	Code
33	DeepFM	0.8007	No	DeepFM: A Factorization-Machine based Neural Net...	2017-03-13	Code
34	TFNet	0.7991	No	TFNet: Multi-Semantic Feature Interaction for CT...	2020-06-29	-
35	PNN*	0.7987	No	Product-based Neural Networks for User Response ...	2016-11-01	Code
36	OPNN	0.7982	No	Product-based Neural Networks for User Response ...	2016-11-01	Code
37	Wide&Deep	0.7981	No	Wide & Deep Learning for Recommender Systems	2016-06-24	Code
38	IPNN	0.7972	No	Product-based Neural Networks for User Response ...	2016-11-01	Code
39	FNN	0.7963	No	Deep Learning over Multi-field Categorical Data:...	2016-01-11	Code

#1QNN-αSOTA
0.8163
AUC· 2025-05-23
Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction Code
#2FCNSOTA
0.8162
AUC· 2024-07-18
FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction Code
#3GDCNSOTA
0.8161
AUC· 2023-11-08
Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction Code
#4MemoNetSOTA
0.8152
AUC· 2022-10-25
MemoNet: Memorizing All Cross Features' Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction Code
#5TF4CTR
0.815
AUC· 2024-05-06
TF4CTR: Twin Focus Framework for CTR Prediction via Adaptive Sample Differentiation Code
#6FinalMLP + MMBAttn
0.81497
AUC· 2023-08-25
MMBAttn: Max-Mean and Bit-wise Attention for CTR Prediction
#7FinalMLP
0.8149
AUC· 2023-04-03
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction Code
#8CETN
0.8148
AUC· 2023-12-15
CETN: Contrast-enhanced Through Network for CTR Prediction Code
#9STEC
0.8143
AUC· 2023-08-29
STEC: See-Through Transformer-based Encoder for CTR Prediction
#10DNN + MMBAttn
0.8143
AUC· 2023-08-25
MMBAttn: Max-Mean and Bit-wise Attention for CTR Prediction
#11MaskNetSOTA
0.8131
AUC· 2021-02-09
MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask Code
#12DeepLightSOTA
0.8123
AUC· 2020-02-17
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving Code
#13CELS
0.8117
AUC
No paperCode
#14OptFS
0.8116
AUC· 2023-01-26
Optimizing Feature Set for Click-Through Rate Prediction Code
#15DCN V2
0.8115
AUC· 2020-08-19
DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems Code
#16OptEmbed
0.8114
AUC· 2022-08-09
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction Code
#17ContextNet
0.8113
AUC· 2021-07-26
ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding Code
#18FiBiNet++
0.811
AUC· 2022-09-12
FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction Code
#19NormDNN
0.8107
AUC· 2020-06-23
Correct Normalization Matters: Understanding the Effect of Normalization On Deep Neural Network Models For Click-Through Rate Prediction Code
#20DeepFFMSOTA
0.8104
AUC· 2019-05-15
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine Code
#21FiBiNET
0.8103
AUC· 2019-05-23
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction Code
#22OptInter
0.8101
AUC· 2021-08-03
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction Code
#23GateNet
0.81
AUC· 2020-07-06
GateNet: Gating-Enhanced Deep Network for Click-Through Rate Prediction Code
#24AFN+
0.8074
AUC· 2019-09-07
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions Code
#25XCrossNet
0.8067
AUC· 2021-04-22
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction Code
#26Fi-GNN
0.8062
AUC· 2019-10-12
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction Code
#27AutoIntSOTA
0.8061
AUC· 2018-10-29
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks Code
#28Clustered Compositional Embeddings
0.806
AUC· 2022-10-12
Clustering the Sketch: A Novel Approach to Embedding Table Compression Code
#29xDeepFMSOTA
0.8052
AUC· 2018-03-14
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems Code
#30WMLFF
0.804
AUC· 2023-08-03
Weighted Multi-Level Feature Factorization for App ads CTR and installation prediction Code
#31FINN
0.802
AUC· 2020-06-07
Feature Interaction based Neural Network for Click-Through Rate Prediction
#32AutoDeepFM(3rd)
0.801
AUC· 2020-03-25
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction Code
#33DeepFMSOTA
0.8007
AUC· 2017-03-13
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction Code
#34TFNet
0.7991
AUC· 2020-06-29
TFNet: Multi-Semantic Feature Interaction for CTR Prediction
#35PNN*SOTA
0.7987
AUC· 2016-11-01
Product-based Neural Networks for User Response Prediction Code
#36OPNN
0.7982
AUC· 2016-11-01
Product-based Neural Networks for User Response Prediction Code
#37Wide&DeepSOTA
0.7981
AUC· 2016-06-24
Wide & Deep Learning for Recommender Systems Code
#38IPNN
0.7972
AUC· 2016-11-01
Product-based Neural Networks for User Response Prediction Code
#39FNNSOTA
0.7963
AUC· 2016-01-11
Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction Code