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08/30/2023
FPTQ: Fine-grained Post-Training Quantization for Large Language Models
In the era of large-scale language models, the substantial parameter siz...
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08/08/2023
Cumulative Reasoning with Large Language Models
While language models are powerful and versatile, they often fail to add...
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07/16/2023
GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT
Decision-makers in GIS need to combine a series of spatial algorithms an...
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05/27/2023
Kernel-SSL: Kernel KL Divergence for Self-Supervised Learning
Contrastive learning usually compares one positive anchor sample with lo...
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03/26/2023
Disentangling Writer and Character Styles for Handwriting Generation
Training machines to synthesize diverse handwritings is an intriguing ta...
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07/20/2021
Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision
Existing long-tailed recognition methods, aiming to train class-balance ...
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01/28/2019
Complex-Valued Neural Networks for Privacy Protection
This paper proposes a generic method to revise traditional neural networ...
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05/20/2018
