Search Results for author:
Found 6 papers, 5 papers with code
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
A multimodal large language model (MLLM) agent can receive instructions, capture images, retrieve histories from memory, and decide which tools to use.
On Memorization in Diffusion Models
Looking into this, we first observe that memorization behaviors tend to occur on smaller-sized datasets, which motivates our definition of effective model memorization (EMM), a metric measuring the maximum size of training data at which a learned diffusion model approximates its theoretical optimum.
Elucidate Gender Fairness in Singing Voice Transcription
Leveraging the prior knowledge that pitch distributions may contribute to the gender bias, we propose conditionally aligning acoustic representations between demographic groups by feeding note events to the attribute predictor.
Transfer Learning of wav2vec 2.0 for Automatic Lyric Transcription
To fill in the performance gap between ALT and ASR, we attempt to exploit the similarities between speech and singing.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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MM-ALT: A Multimodal Automatic Lyric Transcription System
Automatic lyric transcription (ALT) is a nascent field of study attracting increasing interest from both the speech and music information retrieval communities, given its significant application potential.
Distilling a Deep Neural Network into a Takagi-Sugeno-Kang Fuzzy Inference System
Deep neural networks (DNNs) demonstrate great success in classification tasks.
