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08/28/2022
Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies
Fine-tuning can be vulnerable to adversarial attacks. Existing works abo...
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07/12/2022
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets
Learning against label noise is a vital topic to guarantee a reliable pe...
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05/05/2022
Contrastive Multi-view Hyperbolic Hierarchical Clustering
Hierarchical clustering recursively partitions data at an increasingly f...
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05/10/2021
AFINet: Attentive Feature Integration Networks for Image Classification
Convolutional Neural Networks (CNNs) have achieved tremendous success in...
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01/25/2021
MultiFace: A Generic Training Mechanism for Boosting Face Recognition Performance
Deep Convolutional Neural Networks (DCNNs) and their variants have been ...
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10/15/2020
Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark
Recent studies show that crowd-sourced Natural Language Inference (NLI) ...
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10/11/2020
Domain Agnostic Learning for Unbiased Authentication
Authentication is the task of confirming the matching relationship betwe...
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09/06/2020
Hybrid Differentially Private Federated Learning on Vertically Partitioned Data
We present HDP-VFL, the first hybrid differentially private (DP) framewo...
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08/25/2020
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning
Transfer learning has become a common practice for training deep learnin...
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08/25/2020
A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations
Privacy-preserving recommendations are recently gaining momentum, since ...
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07/11/2020
Relation-Guided Representation Learning
Deep auto-encoders (DAEs) have achieved great success in learning data r...
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06/10/2020
Why is Attention Not So Attentive?
Attention-based methods have played an important role in model interpret...
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06/09/2020
Adversarial Infidelity Learning for Model Interpretation
Model interpretation is essential in data mining and knowledge discovery...
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05/27/2020
General-Purpose User Embeddings based on Mobile App Usage
In this paper, we report our recent practice at Tencent for user modelin...
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04/29/2020
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting
With the recent proliferation of the use of text classifications, resear...
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04/07/2020
CSRN: Collaborative Sequential Recommendation Networks for News Retrieval
Nowadays, news apps have taken over the popularity of paper-based media,...
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03/12/2020
Fisher Deep Domain Adaptation
Deep domain adaptation models learn a neural network in an unlabeled tar...
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09/10/2019
Mitigating Annotation Artifacts in Natural Language Inference Datasets to Improve Cross-dataset Generalization Ability
Natural language inference (NLI) aims at predicting the relationship bet...
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08/02/2019
Scale Matters: Temporal Scale Aggregation Network for Precise Action Localization in Untrimmed Videos
Temporal action localization is a recently-emerging task, aiming to loca...
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05/16/2019
Additive Adversarial Learning for Unbiased Authentication
Authentication is a task aiming to confirm the truth between data instan...
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05/15/2019
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets
Natural Language Sentence Matching (NLSM) has gained substantial attenti...
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11/19/2018
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition
Recurrent Neural Networks (RNNs) and their variants, such as Long-Short ...
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09/13/2018
