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06/01/2023
A Survey on Fairness-aware Recommender Systems
As information filtering services, recommender systems have extremely en...
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05/24/2023
The Art of SOCRATIC QUESTIONING: Zero-shot Multimodal Reasoning with Recursive Thinking and Self-Questioning
Chain-of-Thought prompting (CoT) enables large-scale language models to ...
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02/22/2023
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks
Social Internet of Things (SIoT), a promising and emerging paradigm that...
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01/26/2023
Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning
Dialogue state tracking (DST) is an important step in dialogue managemen...
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12/24/2022
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation
Graph Neural Networks (GNNs) have been a prevailing technique for tackli...
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11/01/2022
Invited Paper: Fault-tolerant and Expressive Cross-Chain Swaps
Cross-chain swaps enable exchange of different assets that reside on dif...
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09/29/2022
IvySyn: Automated Vulnerability Discovery for Deep Learning Frameworks
We present IvySyn: the first fully-automated framework for vulnerability...
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06/15/2022
TeKo: Text-Rich Graph Neural Networks with External Knowledge
Graph Neural Networks (GNNs) have gained great popularity in tackling va...
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05/25/2022
TrustGNN: Graph Neural Network based Trust Evaluation via Learnable Propagative and Composable Nature
Trust evaluation is critical for many applications such as cyber securit...
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05/18/2022
On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets
Natural language guided embodied task completion is a challenging proble...
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04/30/2022
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning
Heterogeneous graph neural network (HGNN) is a very popular technique fo...
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03/17/2022
TMS: A Temporal Multi-scale Backbone Design for Speaker Embedding
Speaker embedding is an important front-end module to explore discrimina...
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02/14/2022
Graph Neural Networks for Graphs with Heterophily: A Survey
Recent years have witnessed fast developments of graph neural networks (...
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12/05/2021
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View
The increasing availability of large collections of electronic health re...
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11/09/2021
Convolutional Neural Network Dynamics: A Graph Perspective
The success of neural networks (NNs) in a wide range of applications has...
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10/27/2021
Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation
Multi-source entity linkage focuses on integrating knowledge from multip...
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06/16/2021
Can I Be of Further Assistance? Using Unstructured Knowledge Access to Improve Task-oriented Conversational Modeling
Most prior work on task-oriented dialogue systems are restricted to limi...
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01/31/2021
Adversarial Contrastive Pre-training for Protein Sequences
Recent developments in Natural Language Processing (NLP) demonstrate tha...
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01/13/2021
Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search
Result relevance prediction is an essential task of e-commerce search en...
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01/03/2021
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning
Community detection, a fundamental task for network analysis, aims to pa...
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11/01/2020
Deep Learning for Text Attribute Transfer: A Survey
Driven by the increasingly larger deep learning models, neural language ...
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10/23/2020
BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks
Graph convolutional networks (GCNs), aiming to integrate high-order neig...
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10/22/2020
Graph Neural Network for Large-Scale Network Localization
Graph neural networks (GNNs) are popular to use for classifying structur...
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10/20/2020
BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search
Relevance has significant impact on user experience and business profit ...
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09/28/2020
What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams
Open domain question answering (OpenQA) tasks have been recently attract...
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09/21/2020
From Static to Dynamic Node Embeddings
We introduce a general framework for leveraging graph stream data for te...
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09/16/2020
Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) aims to predict the sentiment tow...
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08/06/2020
Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards
Generating accurate descriptions for online fashion items is important n...
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07/14/2020
Calling Out Bluff: Attacking the Robustness of Automatic Scoring Systems with Simple Adversarial Testing
A significant progress has been made in deep-learning based Automatic Es...
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07/06/2020
GCN for HIN via Implicit Utilization of Attention and Meta-paths
Heterogeneous information network (HIN) embedding, aiming to map the str...
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06/11/2020
Learning Continuous-Time Dynamics by Stochastic Differential Networks
Learning continuous-time stochastic dynamics from sparse or irregular ob...
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04/13/2020
From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap
Dialogue state tracking (DST) is at the heart of task-oriented dialogue ...
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04/04/2020
Hooks in the Headline: Learning to Generate Headlines with Controlled Styles
Current summarization systems only produce plain, factual headlines, but...
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01/22/2020
Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation
State-of-the-art neural machine translation (NMT) systems are data-hungr...
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10/01/2019
MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension
Machine Reading Comprehension (MRC) for question answering (QA), which a...
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08/22/2019
From Community to Role-based Graph Embeddings
Roles are sets of structurally similar nodes that are more similar to no...
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07/27/2019
Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment
Machine learning algorithms are often vulnerable to adversarial examples...
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04/18/2019
node2bits: Compact Time- and Attribute-aware Node Representations for User Stitching
Identity stitching, the task of identifying and matching various online ...
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04/06/2019
Publicly Available Clinical BERT Embeddings
Contextual word embedding models such as ELMo (Peters et al., 2018) and ...
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01/31/2019
Unsupervised Text Style Transfer via Iterative Matching and Translation
Text style transfer seeks to learn how to automatically rewrite sentence...
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10/30/2018
Advancing PICO Element Detection in Medical Text via Deep Neural Networks
In evidence-based medicine (EBM), structured medical questions are alway...
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08/19/2018
Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts
Prevalent models based on artificial neural network (ANN) for sentence c...
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01/07/2018
