2 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
Balancing Exploration and Exploitation: Disentangled -CVAE in De Novo Drug Design
Guang Jun Nicholas Ang, De Tao Irwin Chin, Bingquan Shen
Deep generative models have recently emerged as a promising de novo drug design method. In this respect, deep generative conditional variational autoencoder (CVAE) models are a pow…
Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal Learning
Xiaobao Guo, Nithish Muthuchamy Selvaraj, Zitong Yu +3
Deception detection in conversations is a challenging yet important task, having pivotal applications in many fields such as credibility assessment in business, multimedia anti-fra…
Flexible-modal Deception Detection with Audio-Visual Adapter
Zhaoxu Li, Zitong Yu, Nithish Muthuchamy Selvaraj +4
Detecting deception by human behaviors is vital in many fields such as custom security and multimedia anti-fraud. Recently, audio-visual deception detection attracts more attention…
Adapter Incremental Continual Learning of Efficient Audio Spectrogram Transformers
Nithish Muthuchamy Selvaraj, Xiaobao Guo, Adams Kong +2
Continual learning involves training neural networks incrementally for new tasks while retaining the knowledge of previous tasks. However, efficiently fine-tuning the model for seq…