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09/21/2023
AceGPT, Localizing Large Language Models in Arabic
This paper explores the imperative need and methodology for developing a...
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08/30/2023
AGS: An Dataset and Taxonomy for Domestic Scene Sound Event Recognition
Environmental sound scene and sound event recognition is important for t...
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08/24/2023
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning
Federated learning systems are susceptible to adversarial attacks. To co...
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07/24/2023
Stochastic Step-wise Feature Selection for Exponential Random Graph Models (ERGMs)
Statistical analysis of social networks provides valuable insights into ...
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07/19/2023
MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentions
Audio-driven portrait animation aims to synthesize portrait videos that ...
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05/24/2023
HuatuoGPT, towards Taming Language Model to Be a Doctor
In this paper, we present HuatuoGPT, a large language model (LLM) for me...
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04/20/2023
Phoenix: Democratizing ChatGPT across Languages
This paper presents our efforts to democratize ChatGPT across language. ...
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03/26/2023
Nature Language Reasoning, A Survey
This survey paper proposes a clearer view of natural language reasoning ...
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05/17/2022
Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation
As one of the most challenging and practical segmentation tasks, open-wo...
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09/29/2021
Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training
This paper proposes an unsupervised cross-modality domain adaptation app...
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04/08/2021
BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation
Blood vessel segmentation is crucial for many diagnostic and research ap...
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06/30/2020
ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through Scene Graph
We propose a knowledge-enhanced approach, ERNIE-ViL, to learn joint repr...
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11/06/2019
Attentive Geo-Social Group Recommendation
Social activities play an important role in people's daily life since th...
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11/04/2019
PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation
Automated cervical nucleus segmentation based on deep learning can effec...
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07/26/2019
Multi-level Domain Adaptive learning for Cross-Domain Detection
In recent years, object detection has shown impressive results using sup...
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07/26/2019
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images
Segmenting coronary arteries is challenging, as classic unsupervised met...
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07/30/2014