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08/25/2023
DARWIN Series: Domain Specific Large Language Models for Natural Science
Emerging tools bring forth fresh approaches to work, and the field of na...
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07/06/2023
TDLE: 2-D LiDAR Exploration With Hierarchical Planning Using Regional Division
Exploration systems are critical for enhancing the autonomy of robots. D...
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06/08/2023
A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series
This paper presents a novel approach to Bayesian nonparametric spectral ...
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04/11/2023
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model
Federated Learning, as a popular paradigm for collaborative training, is...
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04/05/2023
Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT
The amount of data has growing significance in exploring cutting-edge ma...
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03/09/2023
ESCL: Equivariant Self-Contrastive Learning for Sentence Representations
Previous contrastive learning methods for sentence representations often...
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05/20/2022
Beyond the Granularity: Multi-Perspective Dialogue Collaborative Selection for Dialogue State Tracking
In dialogue state tracking, dialogue history is a crucial material, and ...
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01/19/2022
All one needs to know about shared micromobility simulation: a complete survey
As the shared micromobility becomes a part of our daily life and environ...
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11/30/2021
Solving reward-collecting problems with UAVs: a comparison of online optimization and Q-learning
Uncrewed autonomous vehicles (UAVs) have made significant contributions ...
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02/21/2021
Delayed Rewards Calibration via Reward Empirical Sufficiency
Appropriate credit assignment for delay rewards is a fundamental challen...
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07/15/2020
CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions
This paper proposes a self-supervised learning method for the person re-...
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09/27/2019
Towards Real-Time Multi-Object Tracking
Modern multiple object tracking (MOT) systems usually follow the trackin...
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08/04/2019
