NIPS Proceedingsβ

Dacheng Tao

12 Papers

  • Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation (2019)
  • Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence (2019)
  • Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge (2019)
  • Learning from Bad Data via Generation (2019)
  • LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning (2019)
  • Likelihood-Free Overcomplete ICA and Applications In Causal Discovery (2019)
  • Positive-Unlabeled Compression on the Cloud (2019)
  • Theoretical Analysis of Adversarial Learning: A Minimax Approach (2019)
  • Dual Swap Disentangling (2018)
  • Learning Versatile Filters for Efficient Convolutional Neural Networks (2018)
  • CNNpack: Packing Convolutional Neural Networks in the Frequency Domain (2016)
  • Manifold Regularization for SIR with Rate Root-n Convergence (2009)