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06/19/2023
Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding
State-of-the-art few-shot learning (FSL) methods leverage prompt-based f...
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06/19/2023
Cross-Modal Attribute Insertions for Assessing the Robustness of Vision-and-Language Learning
The robustness of multimodal deep learning models to realistic changes i...
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06/04/2023
Predicting Information Pathways Across Online Communities
The problem of community-level information pathway prediction (CLIPP) ai...
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03/11/2023
Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation
The spread of online misinformation threatens public health, democracy, ...
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12/08/2022
A Survey of Graph Neural Networks for Social Recommender Systems
Social recommender systems (SocialRS) simultaneously leverage user-to-it...
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11/04/2022
Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions
As multimodal learning finds applications in a wide variety of high-stak...
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09/23/2022
M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations
Session-based recommender systems (SBRSs) have shown superior performanc...
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08/18/2022
Implicit Session Contexts for Next-Item Recommendations
Session-based recommender systems capture the short-term interest of a u...
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07/07/2022
Signed Link Representation in Continuous-Time Dynamic Signed Networks
Signed networks allow us to model bi-faceted relationships and interacti...
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05/19/2022
Overcoming Language Disparity in Online Content Classification with Multimodal Learning
Advances in Natural Language Processing (NLP) have revolutionized the wa...
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02/10/2022
Characterizing, Detecting, and Predicting Online Ban Evasion
Moderators and automated methods enforce bans on malicious users who eng...
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01/29/2022
Robustness of Deep Recommendation Systems to Untargeted Interaction Perturbations
While deep learning-based sequential recommender systems are widely used...
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09/14/2021
PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models
What should a malicious user write next to fool a detection model? Ident...
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08/23/2021
Influence-guided Data Augmentation for Neural Tensor Completion
How can we predict missing values in multi-dimensional data (or tensors)...
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05/02/2021
Graph Vulnerability and Robustness: A Survey
The study of network robustness is a critical tool in the characterizati...
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11/11/2020
The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic
Fact checking by professionals is viewed as a vital defense in the fight...
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06/03/2020
M2P2: Multimodal Persuasion Prediction using Adaptive Fusion
Identifying persuasive speakers in an adversarial environment is a criti...
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05/25/2020
Racism is a Virus: Anti-Asian Hate and Counterhate in Social Media during the COVID-19 Crisis
The spread of COVID-19 has sparked racism, hate, and xenophobia in socia...
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02/18/2020
Higher-Order Label Homogeneity and Spreading in Graphs
Do higher-order network structures aid graph semi-supervised learning? G...
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08/03/2019
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
Modeling sequential interactions between users and items/products is cru...
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12/06/2018
Learning Dynamic Embeddings from Temporal Interactions
Modeling a sequence of interactions between users and items (e.g., produ...
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04/23/2018
False Information on Web and Social Media: A Survey
False information can be created and spread easily through the web and s...
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03/09/2018
Community Interaction and Conflict on the Web
Users organize themselves into communities on web platforms. These commu...
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03/30/2017
FairJudge: Trustworthy User Prediction in Rating Platforms
Rating platforms enable large-scale collection of user opinion about ite...
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03/21/2017
An Army of Me: Sockpuppets in Online Discussion Communities
In online discussion communities, users can interact and share informati...
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09/02/2016
Citation Classification for Behavioral Analysis of a Scientific Field
Citations are an important indicator of the state of a scientific field,...
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06/15/2015