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08/29/2023
Rethinking Machine Ethics – Can LLMs Perform Moral Reasoning through the Lens of Moral Theories?
Making moral judgments is an essential step toward developing ethical AI...
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07/30/2023
A Private Watermark for Large Language Models
Recently, text watermarking algorithms for large language models (LLMs) ...
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07/07/2023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
Time series are the primary data type used to record dynamic system meas...
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07/03/2023
VOLTA: Diverse and Controllable Question-Answer Pair Generation with Variational Mutual Information Maximizing Autoencoder
Previous question-answer pair generation methods aimed to produce fluent...
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06/28/2023
A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges
Reaction and retrosynthesis prediction are fundamental tasks in computat...
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06/15/2023
Hyperbolic Representation Learning: Revisiting and Advancing
The non-Euclidean geometry of hyperbolic spaces has recently garnered co...
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05/26/2023
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks
Relation extraction (RE) tasks show promising performance in extracting ...
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05/25/2023
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis
Multimodal relation extraction (MRE) is the task of identifying the sema...
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05/16/2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
Heterogeneous graph neural networks (HGNNs) can learn from typed and rel...
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05/08/2023
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering
Maximizing the user-item engagement based on vectorized embeddings is a ...
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05/02/2023
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction
Relation extraction (RE) aims to extract potential relations according t...
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04/01/2023
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space
Searching on bipartite graphs is basal and versatile to many real-world ...
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03/10/2023
Knowledge Transfer via Multi-Head Feature Adaptation for Whole Slide Image Classification
Transferring prior knowledge from a source domain to the same or similar...
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02/21/2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
Trustworthy artificial intelligence (AI) technology has revolutionized d...
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01/19/2023
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification
Multiple Instance Learning (MIL) and transformers are increasingly popul...
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01/14/2023
Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning
Drug combination therapy is a well-established strategy for disease trea...
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12/12/2022
Momentum Contrastive Pre-training for Question Answering
Existing pre-training methods for extractive Question Answering (QA) gen...
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12/04/2022
Hyperbolic Curvature Graph Neural Network
Hyperbolic space is emerging as a promising learning space for represent...
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11/23/2022
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks
Heterogeneous graph neural networks (HGNNs) were proposed for representa...
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11/11/2022
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction
Information Extraction (IE) aims to extract structured information from ...
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11/08/2022
Hyperbolic Graph Representation Learning: A Tutorial
Graph-structured data are widespread in real-world applications, such as...
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09/28/2022
Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation
Incorporating knowledge graphs (KGs) as side information in recommendati...
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07/19/2022
HICF: Hyperbolic Informative Collaborative Filtering
Considering the prevalence of the power-law distribution in user-item ne...
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07/04/2022
E2Efold-3D: End-to-End Deep Learning Method for accurate de novo RNA 3D Structure Prediction
RNA structure determination and prediction can promote RNA-targeted drug...
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06/25/2022
ConcreteGraph: A Data Augmentation Method Leveraging the Properties of Concept Relatedness Estimation
The concept relatedness estimation (CRE) task is to determine whether tw...
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06/16/2022
ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization
Graph Neural Networks (GNNs) have attracted much attention due to their ...
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06/05/2022
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation
Learning vectorized embeddings is at the core of various recommender sys...
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05/21/2022
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training
Keyphrase generation is the task of automatically predicting keyphrases ...
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04/18/2022
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization
In large-scale recommender systems, the user-item networks are generally...
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04/15/2022
Text Revision by On-the-Fly Representation Optimization
Text revision refers to a family of natural language generation tasks, w...
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02/28/2022
Hyperbolic Graph Neural Networks: A Review of Methods and Applications
Graph neural networks generalize conventional neural networks to graph-s...
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12/03/2021
Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation
Due to the promising advantages in space compression and inference accel...
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09/30/2021
Towards Efficient Post-training Quantization of Pre-trained Language Models
Network quantization has gained increasing attention with the rapid grow...
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09/28/2021
Multimodality in Meta-Learning: A Comprehensive Survey
Meta-learning has gained wide popularity as a training framework that is...
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09/05/2021
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation
To alleviate data sparsity and cold-start problems of traditional recomm...
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08/14/2021
Modeling Scale-free Graphs for Knowledge-aware Recommendation
Aiming to alleviate data sparsity and cold-start problems of traditional...
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08/07/2021
Controllable Summarization with Constrained Markov Decision Process
We study controllable text summarization which allows users to gain cont...
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08/03/2021
Dialogue Summarization with Supporting Utterance Flow Modeling and Fact Regularization
Dialogue summarization aims to generate a summary that indicates the key...
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07/08/2021
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space
Representation learning over temporal networks has drawn considerable at...
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06/26/2021
A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy
In recent years, reference-based and supervised summarization evaluation...
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06/19/2021
A Condense-then-Select Strategy for Text Summarization
Select-then-compress is a popular hybrid, framework for text summarizati...
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06/16/2021
Discrete Auto-regressive Variational Attention Models for Text Modeling
Variational autoencoders (VAEs) have been widely applied for text modeli...
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06/08/2021
Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation
We present DistillFlow, a knowledge distillation approach to learning op...
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06/02/2021
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation
Self-training has proven effective for improving NMT performance by augm...
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02/28/2021
A Survey on Deep Semi-supervised Learning
Deep semi-supervised learning is a fast-growing field with a range of pr...
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02/27/2021
FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding
Dynamic graphs arise in a plethora of practical scenarios such as social...
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02/26/2021
Graph-based Semi-supervised Learning: A Comprehensive Review
Semi-supervised learning (SSL) has tremendous value in practice due to i...
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02/17/2021
Open-Retrieval Conversational Machine Reading
In conversational machine reading, systems need to interpret natural lan...
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01/19/2021
Creation and Evaluation of a Pre-tertiary Artificial Intelligence (AI) Curriculum
Contributions: The Chinese University of Hong Kong (CUHK)-Jockey Club AI...
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01/17/2021
