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09/14/2023
DebCSE: Rethinking Unsupervised Contrastive Sentence Embedding Learning in the Debiasing Perspective
Several prior studies have suggested that word frequency biases can caus...
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05/23/2023
Perception Test: A Diagnostic Benchmark for Multimodal Video Models
We propose a novel multimodal video benchmark - the Perception Test - to...
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10/25/2022
MemoNet:Memorizing Representations of All Cross Features Efficiently via Multi-Hash Codebook Network for CTR Prediction
New findings in natural language processing(NLP) demonstrate that the st...
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09/12/2022
FiBiNet++:Improving FiBiNet by Greatly Reducing Model Size for CTR Prediction
Click-Through Rate(CTR) estimation has become one of the most fundamenta...
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07/26/2021
ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding
Click-through rate (CTR) estimation is a fundamental task in personalize...
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07/26/2021
Leaf-FM: A Learnable Feature Generation Factorization Machine for Click-Through Rate Prediction
Click-through rate (CTR) prediction plays important role in personalized...
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02/09/2021
MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask
Click-Through Rate(CTR) estimation has become one of the most fundamenta...
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09/13/2020
BoostingBERT:Integrating Multi-Class Boosting into BERT for NLP Tasks
As a pre-trained Transformer model, BERT (Bidirectional Encoder Represen...
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07/06/2020
GateNet: Gating-Enhanced Deep Network for Click-Through Rate Prediction
Advertising and feed ranking are essential to many Internet companies su...
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06/23/2020
Correct Normalization Matters: Understanding the Effect of Normalization On Deep Neural Network Models For Click-Through Rate Prediction
Normalization has become one of the most fundamental components in many ...
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05/23/2019
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction
Advertising and feed ranking are essential to many Internet companies su...
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05/15/2019