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09/11/2023
Large Language Model for Science: A Study on P vs. NP
In this work, we use large language models (LLMs) to augment and acceler...
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09/09/2023
Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic
Machine learning (ML) is promising in accurately detecting malicious flo...
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06/27/2023
Explainable Multimodal Emotion Reasoning
Multimodal emotion recognition is an active research topic in artificial...
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03/13/2023
Deploying Offline Reinforcement Learning with Human Feedback
Reinforcement learning (RL) has shown promise for decision-making tasks ...
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03/04/2022
Rethinking Efficient Lane Detection via Curve Modeling
This paper presents a novel parametric curve-based method for lane detec...
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10/15/2021
Value Penalized Q-Learning for Recommender Systems
Scaling reinforcement learning (RL) to recommender systems (RS) is promi...
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11/09/2019
DeepMask: an algorithm for cloud and cloud shadow detection in optical satellite remote sensing images using deep residual network
Detecting and masking cloud and cloud shadow from satellite remote sensi...
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11/07/2019
Improving Grammatical Error Correction with Machine Translation Pairs
We propose a novel data synthesis method to generate diverse error-corre...
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04/02/2019
Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset
Removing rain streaks from a single image has been drawing considerable ...
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09/21/2018
