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• Distributionally Adversarial Attack
  2018 · 117 citations
• Zero-Shot Learning via Class-Conditioned Deep Generative Models
  2017 · 51 citations
• Policy Optimization as Wasserstein Gradient Flows
  2018 · 26 citations
• Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction
  2022 · 13 citations
• Adversarial Learning of a Sampler Based on an Unnormalized Distribution
  2019 · 7 citations
• Towards Fair Federated Learning with Zero-Shot Data Augmentation
  2021 · 7 citations
• Lafite2: Few-shot Text-to-Image Generation
  2022 · 7 citations
• Stochastic Gradient Monomial Gamma Sampler
  2017 · 6 citations
• Implicit Deep Latent Variable Models for Text Generation
  2019 · 5 citations
• Decomposed Adversarial Learned Inference
  2020 · 3 citations
• Prompt Tuning based Adapter for Vision-Language Model Adaption
  2023 · 3 citations
• Nested-Wasserstein Self-Imitation Learning for Sequence Generation
  2020 · 2 citations
• Graph Neural Networks with Composite Kernels
  2020 · 2 citations
• Improve Variational Autoencoder for Text Generationwith Discrete Latent Bottleneck
  2020 · 1 citations
• Shifted Diffusion for Text-to-image Generation
  2022 · 1 citations