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07/16/2023
MinT: Boosting Generalization in Mathematical Reasoning via Multi-View Fine-Tuning
Reasoning in mathematical domains remains a significant challenge for re...
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06/01/2023
Improving the Robustness of Summarization Systems with Dual Augmentation
A robust summarization system should be able to capture the gist of the ...
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05/27/2023
What indeed can GPT models do in chemistry? A comprehensive benchmark on eight tasks
Large Language Models (LLMs) with strong abilities in natural language p...
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05/22/2023
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
In this paper, we present a novel approach for distilling math word prob...
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05/19/2023
A Topic-aware Summarization Framework with Different Modal Side Information
Automatic summarization plays an important role in the exponential docum...
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04/23/2023
LogicRec: Recommendation with Users' Logical Requirements
Users may demand recommendations with highly personalized requirements i...
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02/01/2023
Knowledge Distillation on Graphs: A Survey
Graph Neural Networks (GNNs) have attracted tremendous attention by demo...
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12/13/2022
Towards Efficient and Domain-Agnostic Evasion Attack with High-dimensional Categorical Inputs
Our work targets at searching feasible adversarial perturbation to attac...
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12/13/2022
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs
Machine Learning-as-a-Service systems (MLaaS) have been largely develope...
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12/01/2022
Analogical Math Word Problems Solving with Enhanced Problem-Solution Association
Math word problem (MWP) solving is an important task in question answeri...
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11/19/2022
ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture
This paper introduces ArtELingo, a new benchmark and dataset, designed t...
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11/19/2022
Pairwise Instance Relation Augmentation for Long-tailed Multi-label Text Classification
Multi-label text classification (MLTC) is one of the key tasks in natura...
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10/04/2022
Towards Improving Faithfulness in Abstractive Summarization
Despite the success achieved in neural abstractive summarization based o...
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08/22/2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs
While Graph Neural Networks (GNNs) have demonstrated their efficacy in d...
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08/16/2022
FALCON: Sound and Complete Neural Semantic Entailment over ALC Ontologies
Many ontologies, i.e., Description Logic (DL) knowledge bases, have been...
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07/28/2022
Improving Few-shot News Recommendation via Cross-lingual Transfer
The cold-start problem has been commonly recognized in recommendation sy...
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05/29/2022
TAR: Neural Logical Reasoning across TBox and ABox
Many ontologies, i.e., Description Logic (DL) knowledge bases, have been...
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05/02/2022
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion
Most real-world knowledge graphs (KG) are far from complete and comprehe...
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11/07/2021
Meta Cross-Modal Hashing on Long-Tailed Data
Due to the advantage of reducing storage while speeding up query time on...
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11/07/2021
Cross-modal Zero-shot Hashing by Label Attributes Embedding
Cross-modal hashing (CMH) is one of the most promising methods in cross-...
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11/07/2021
Open-Set Crowdsourcing using Multiple-Source Transfer Learning
We raise and define a new crowdsourcing scenario, open set crowdsourcing...
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11/07/2021
Crowdsourcing with Meta-Workers: A New Way to Save the Budget
Due to the unreliability of Internet workers, it's difficult to complete...
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09/29/2021
Overview of the Arabic Sentiment Analysis 2021 Competition at KAUST
This paper provides an overview of the Arabic Sentiment Analysis Challen...
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09/08/2021
AppQ: Warm-starting App Recommendation Based on View Graphs
Current app ranking and recommendation systems are mainly based on user-...
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08/17/2021
FARF: A Fair and Adaptive Random Forests Classifier
As Artificial Intelligence (AI) is used in more applications, the need t...
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07/28/2021
MWP-BERT: A Strong Baseline for Math Word Problems
Math word problem (MWP) solving is the task of transforming a sequence o...
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06/29/2021
Attack Transferability Characterization for Adversarially Robust Multi-label Classification
Despite of the pervasive existence of multi-label evasion attack, it is ...
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06/07/2021
Socially-Aware Self-Supervised Tri-Training for Recommendation
Self-supervised learning (SSL), which can automatically generate ground-...
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06/07/2021
Scientific Dataset Discovery via Topic-level Recommendation
Data intensive research requires the support of appropriate datasets. Ho...
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04/05/2021
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling
As a well-established approach, factorization machine (FM) is capable of...
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04/04/2021
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning
With the ubiquitous graph-structured data in various applications, model...
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04/02/2021
Fast-adapting and Privacy-preserving Federated Recommender System
In the mobile Internet era, recommender systems have become an irreplace...
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03/24/2021
Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation
In this work, we study group recommendation in a particular scenario, na...
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01/29/2021
Graph Embedding for Recommendation against Attribute Inference Attacks
In recent years, recommender systems play a pivotal role in helping user...
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01/27/2021
Combat Data Shift in Few-shot Learning with Knowledge Graph
Many few-shot learning approaches have been designed under the meta-lear...
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01/24/2021
Does Head Label Help for Long-Tailed Multi-Label Text Classification
Multi-label text classification (MLTC) aims to annotate documents with t...
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01/16/2021
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation
Social relations are often used to improve recommendation quality when u...
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01/08/2021
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection
Obstructive Sleep Apnea (OSA) is a highly prevalent but inconspicuous di...
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12/17/2020
Characterizing the Evasion Attackability of Multi-label Classifiers
Evasion attack in multi-label learning systems is an interesting, widely...
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12/12/2020
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
Session-based recommendation (SBR) focuses on next-item prediction at a ...
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11/01/2020
ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset
This paper provides a detailed description of a new Twitter-based benchm...
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10/06/2020
Multi-typed Objects Multi-view Multi-instance Multi-label Learning
Multi-typed objects Multi-view Multi-instance Multi-label Learning (M4L)...
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10/05/2020
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation
Understanding the relationships between biomedical terms like viruses, d...
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10/02/2020
Deep Incomplete Multi-View Multiple Clusterings
Multi-view clustering aims at exploiting information from multiple heter...
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09/02/2020
Self-supervised Smoothing Graph Neural Networks
This paper studies learning node representations with GNNs for unsupervi...
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08/25/2020
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization
In this paper, we propose a novel stochastic gradient estimator—ProbAbil...
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07/12/2020
Graph Factorization Machines for Cross-Domain Recommendation
Recently, graph neural networks (GNNs) have been successfully applied to...
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06/18/2020
SenWave: Monitoring the Global Sentiments under the COVID-19 Pandemic
Since the first alert launched by the World Health Organization (5 Janua...
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05/19/2020
Addressing Class-Imbalance Problem in Personalized Ranking
Pairwise ranking models have been widely used to address recommendation ...
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04/07/2020