13 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Turbo your multi-modal classification with contrastive learning
Zhiyu Zhang, Da Liu, Shengqiang Liu +3
Contrastive learning has become one of the most impressive approaches for multi-modal representation learning. However, previous multi-modal works mainly focused on cross-modal und…
cs.SE2023★ 1 cited
Understanding the Complexity and Its Impact on Testing in ML-Enabled Systems
Junming Cao, Bihuan Chen, Longjie Hu +3
Machine learning (ML) enabled systems are emerging with recent breakthroughs in ML. A model-centric view is widely taken by the literature to focus only on the analysis of ML model…
cs.SD2020★ 13 cited
Streaming Chunk-Aware Multihead Attention for Online End-to-End Speech Recognition
Shiliang Zhang, Zhifu Gao, Haoneng Luo +4
Recently, streaming end-to-end automatic speech recognition (E2E-ASR) has gained more and more attention. Many efforts have been paid to turn the non-streaming attention-based E2E-…