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09/06/2023
Large Language Models for Automated Open-domain Scientific Hypotheses Discovery
Hypothetical induction is recognized as the main reasoning type when sci...
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04/11/2023
Biological Factor Regulatory Neural Network
Genes are fundamental for analyzing biological systems and many recent w...
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05/26/2022
Constrained Reinforcement Learning for Short Video Recommendation
The wide popularity of short videos on social media poses new opportunit...
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02/26/2022
Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding
Contrastive learning is emerging as a powerful technique for extracting ...
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10/20/2021
ESOD:Edge-based Task Scheduling for Object Detection
Object Detection on the mobile system is a challenge in terms of everyth...
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04/12/2021
Learning to Remove: Towards Isotropic Pre-trained BERT Embedding
Pre-trained language models such as BERT have become a more common choic...
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05/02/2020
Smart, Adaptive Energy Optimization for Mobile Web Interactions
Web technology underpins many interactive mobile applications. However, ...
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10/21/2018
To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference
The recent advances in deep neural networks (DNNs) make them attractive ...
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10/20/2018
SL^2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization
Synthetic lethality (SL) is a promising concept for novel discovery of a...
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07/10/2018