Search Results for author:
Found 12 papers, 3 papers with code
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning
This paper introduces \textbf{Q-tuning}, a novel approach for continual prompt tuning that enables the lifelong learning of a pre-trained language model.
LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing
Based on these findings, we propose design implications to inform the future development of agent-assisted content editing.
SynthScribe: Deep Multimodal Tools for Synthesizer Sound Retrieval and Exploration
This is achieved with three main features: a multimodal search engine for a large library of synthesizer sounds; a user centered genetic algorithm by which completely new sounds can be created and selected given the users preferences; a sound editing support feature which highlights and gives examples for key control parameters with respect to a text or audio based query.
A Zero-Shot Language Agent for Computer Control with Structured Reflection
To perform a task, recent works often require a model to learn from trace examples of the task via either supervised learning or few/many-shot prompting.
Hierarchical Conditional Semi-Paired Image-to-Image Translation For Multi-Task Image Defect Correction On Shopping Websites
Unlike public data, another practical challenge on shopping websites is that some paired images are of low quality.
KD-FixMatch: Knowledge Distillation Siamese Neural Networks
Firstly, an outer SNN is trained using labeled and unlabeled data.
AdaSelection: Accelerating Deep Learning Training through Data Subsampling
In this paper, we introduce AdaSelection, an adaptive sub-sampling method to identify the most informative sub-samples within each minibatch to speed up the training of large-scale deep learning models without sacrificing model performance.
Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language Models
Text-to-image generative models have demonstrated remarkable capabilities in generating high-quality images based on textual prompts.
Enabling Conversational Interaction with Mobile UI using Large Language Models
This paper investigates the feasibility of enabling versatile conversational interactions with mobile UIs using a single LLM.
CMA-CLIP: Cross-Modality Attention CLIP for Image-Text Classification
In this paper, we propose the Cross-Modality Attention Contrastive Language-Image Pre-training (CMA-CLIP), a new framework which unifies two types of cross-modality attentions, sequence-wise attention and modality-wise attention, to effectively fuse information from image and text pairs.
Screen2Words: Automatic Mobile UI Summarization with Multimodal Learning
Mobile User Interface Summarization generates succinct language descriptions of mobile screens for conveying important contents and functionalities of the screen, which can be useful for many language-based application scenarios.
PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional Residual Network
To build such an AI performer, we propose in this paper a deep convolutional model that learns in an end-to-end manner the score-to-audio mapping between a symbolic representation of music called the piano rolls and an audio representation of music called the spectrograms.
Sound Multimedia Audio and Speech Processing
