5 accepted papers
Music inpainting, which is to complete the missing part of a piece given some context, is an important task of automated music generation. In this study, we contribute a controllable inpainting model by combining the high expressivity of mixed-level, disentangled music representations and the strong…
Deep generative modeling has already become the leading technique for music automation. However, long-term generation remains a challenging task as most methods fall short in preserving a natural structure and the overall musicality when the generation scope exceeds several beats. In this study, we…
Emotion dynamics formulates principles explaining the emotional fluctuation during conversations. Recent studies explore the emotion dynamics from the self and inter-personal dependencies, however, ignoring the temporal and spatial dependencies in the situation of multi-modal conversations. To addre…
Vision transformers (ViTs) have pushed the state-of-the-art for various visual recognition tasks by patch-wise image tokenization followed by self-attention. However, the employment of self-attention modules results in a quadratic complexity in both computation and memory usage. Various attempts on…
Stock Trend Prediction(STP) has drawn wide attention from various fields, especially Artificial Intelligence. Most previous studies are single-scale oriented which results in information loss from a multi-scale perspective. In fact, multi-scale behavior is vital for making intelligent investment dec…