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Found 5 papers, 0 papers with code
EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs
To our best knowledge, we are the first work that achieves almost lossless quantization performance for LLMs under a data-independent setting and our algorithm runs over 10 times faster than the data-dependent methods.
Machine Unlearning Methodology base on Stochastic Teacher Network
The rise of the phenomenon of the "right to be forgotten" has prompted research on machine unlearning, which grants data owners the right to actively withdraw data that has been used for model training, and requires the elimination of the contribution of that data to the model.
Investigation of Singing Voice Separation for Singing Voice Detection in Polyphonic Music
Singing voice detection (SVD), to recognize vocal parts in the song, is an essential task in music information retrieval (MIR).
Contextual Text Denoising with Masked Language Model
Recently, with the help of deep learning models, significant advances have been made in different Natural Language Processing (NLP) tasks.
Contextual Text Denoising with Masked Language Models
Recently, with the help of deep learning models, significant advances have been made in different Natural Language Processing (NLP) tasks.
