Electronic Engineering and Computer Science
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Preface
(2024-01-01) -
Robot public speakers' effect on audience affective reaction and attention allocation
(2022-07-01)Social robots delivering public speeches have a wide range of practical applications as stand-ins for educators, experts, or entertainers. The goal of our work is to investigate how a social robot should be programmed to ... -
A Mapping Strategy for Interacting with Latent Audio Synthesis Using Artistic Materials
This paper presents a mapping strategy for interacting with the latent spaces of generative AI models. Our approach involves using unsupervised feature learning to encode a human control space and mapping it to an audio ... -
Computing: Looking Back and Moving Forward
(SCITEPRESS - Science and Technology Publications, 2024-07-15)The Internet and computer commercialization have transformed the computing systems area over the past sixty years, affecting society. Computer systems have evolved to meet diverse social needs thanks to technological ... -
Real-time Timbre Remapping with Differentiable DSP
Timbre is a primary mode of expression in diverse musical contexts. However, prevalent audio-driven synthesis methods predominantly rely on pitch and loudness envelopes, effectively flattening timbral expression from the ... -
Improved Fine-Tuning by Better Leveraging Pre-Training Data
(2022-01-01)As a dominant paradigm, fine-tuning a pre-trained model on the target data is widely used in many deep learning applications, especially for small data sets. However, recent studies have empirically shown that training ... -
Retrieval-Augmented Multiple Instance Learning
(2023-01-01)Multiple Instance Learning (MIL) is a crucial weakly supervised learning method applied across various domains, e.g., medical diagnosis based on whole slide images (WSIs). Recent advancements in MIL algorithms have yielded ... -
Resource-Efficient Convolutional Networks: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques
(2023-07-13)Convolutional neural networks (CNNs) are used in our daily life, including self-driving cars, virtual assistants, social network services, healthcare services, and face recognition, among others. However, deep CNNs demand ...