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05/24/2023
Sentiment Analysis in the Era of Large Language Models: A Reality Check
Sentiment analysis (SA) has been a long-standing research area in natura...
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05/16/2023
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis
Cross-domain aspect-based sentiment analysis (ABSA) aims to perform vari...
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12/26/2022
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities
How to learn an effective reinforcement learning-based model for control...
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11/16/2022
Fast Graph Generation via Spectral Diffusion
Generating graph-structured data is a challenging problem, which require...
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09/29/2022
Learning Gradient-based Mixup towards Flatter Minima for Domain Generalization
To address the distribution shifts between training and test data, domai...
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07/10/2022
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation
In this work, we study Unsupervised Domain Adaptation (UDA) in a challen...
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06/14/2022
Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition
It is expensive and time-consuming to collect sufficient labeled data to...
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11/08/2021
Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems
Recommender Systems (RSs) in real-world applications often deal with bil...
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07/07/2021
Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions
Attributed event sequences are commonly encountered in practice. A recen...
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11/02/2020
Reinforcement Learning with Efficient Active Feature Acquisition
Solving real-life sequential decision making problems under partial obse...
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12/06/2019
Integrating Deep Learning with Logic Fusion for Information Extraction
Information extraction (IE) aims to produce structured information from ...
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11/11/2019
Transfer Value Iteration Networks
Value iteration networks (VINs) have been demonstrated to be effective i...
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07/03/2017
Hashing Over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning
In reinforcement learning (RL) tasks, an efficient exploration mechanism...
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05/22/2017
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
How to develop slim and accurate deep neural networks has become crucial...
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02/06/2017
Multi-task memory networks for category-specific aspect and opinion terms co-extraction
In aspect-based sentiment analysis, most existing methods either focus o...
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05/13/2016
Transfer Hashing with Privileged Information
Most existing learning to hash methods assume that there are sufficient ...
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03/22/2016
