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10/20/2022
Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers
This paper presents ReasonFormer, a unified reasoning framework for mirr...
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10/14/2022
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation
Recent neural methods for vehicle routing problems always train and test...
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01/26/2022
Graph Neural Networks with Dynamic and Static Representations for Social Recommendation
Recommender systems based on graph neural networks receive increasing re...
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07/16/2021
MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization
Learning-based heuristics for solving combinatorial optimization problem...
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06/29/2021
Topic-to-Essay Generation with Comprehensive Knowledge Enhancement
Generating high-quality and diverse essays with a set of topics is a cha...
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05/06/2021
Meta-Learning-based Deep Reinforcement Learning for Multiobjective Optimization Problems
Deep reinforcement learning (DRL) has recently shown its success in tack...
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01/23/2021
Neural Relational Inference with Efficient Message Passing Mechanisms
Many complex processes can be viewed as dynamical systems of interacting...
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10/15/2020
Neural Deepfake Detection with Factual Structure of Text
Deepfake detection, the task of automatically discriminating machine-gen...
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04/28/2020
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network
Verifying the correctness of a textual statement requires not only seman...
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04/25/2020
A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts
We study question answering over a dynamic textual environment. Although...
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03/16/2020
A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage
User identity linkage across social networks is an essential problem for...
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02/13/2020
MODRL/D-AM: Multiobjective Deep Reinforcement Learning Algorithm Using Decomposition and Attention Model for Multiobjective Optimization
Recently, a deep reinforcement learning method is proposed to solve mult...
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02/12/2020
Utilizing BERT Intermediate Layers for Aspect Based Sentiment Analysis and Natural Language Inference
Aspect based sentiment analysis aims to identify the sentimental tendenc...
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02/09/2020
A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems
Recent researches show that machine learning has the potential to learn ...
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11/15/2019
CatGAN: Category-aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation
Generating multiple categories of texts is a challenging task and draws ...
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09/09/2019
Reasoning Over Semantic-Level Graph for Fact Checking
We study fact-checking in this paper, which aims to verify a textual cla...
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06/22/2019
Collective Mobile Sequential Recommendation: A Recommender System for Multiple Taxicabs
Mobile sequential recommendation was originally designed to find a promi...
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02/25/2019
Attentional Encoder Network for Targeted Sentiment Classification
Targeted sentiment classification aims at determining the sentimental te...
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09/05/2018