AutoML-NAS

  • Jin Xu, Xu Tan, Renqian Luo, Kaitao Song, Jian Li, Tao Qin, Tie-Yan Liu, NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search, KDD 2021.
  • Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Jinzhu Li, Sheng Zhao, Enhong Chen, Tie-Yan Liu, LightSpeech: Lightweight and fast text to speech with neural architecture search, ICASSP 2021.
  • Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Xiangyang Li, Tao Qin. Learning to Reweight with Deep Interactions. AAAI 2021.
  • Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu, Accuracy Prediction with Non-neural Model for Neural Architecture Search.
  • Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu, Semi-Supervised Neural Architecture Search, NeurIPS 2020.
  • Yang Fan, Fei Tian, Yingce Xia, Tao Qin, Xiangyang Li, and Tie-Yan Liu. Searching Better Architectures for Neural Machine Translation. IEEE/ACM Transactions on Audio, Speech and Language Processing 2020.
  • Renqian Luo, Tao Qin, Enhong Chen, Balanced One-shot Neural Architecture Optimization.
  • Lijun Wu, Fei Tian, Yingce Xia, Tao Qin, Jianhuang Lai, and Tie-Yan Liu, Learning to Teach with Dynamic Loss Functions, NeurIPS 2018.
  • Renqian Luo, Fei Tian, Tao Qin, Enhong Chen, and Tie-Yan Liu, Neural Architecture Optimization, NIPS 2018.
  • Yang Fan, Fei Tian, Tao Qin, Xiangyang Li, and Tie-Yan Liu, Learning to Teach, ICLR 2018.