Hits

안녕하세요. 모카의 머신러닝 입니다.

NIPS 2020에 accept 된 GAN 논문 리스트 입니다.


  • ColdGANs: Taming Language GANs with Cautious Sampling Strategies paper
  • HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis paper
  • GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators paper
  • GANSpace: Discovering Interpretable GAN Controls paper code
  • Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample paper
  • Distributional Robustness with IPMs and links to Regularization and GANs paper
  • TaylorGAN: Neighbor-Augmented Policy Update for Sample-Efficient Natural Language Generation paper
  • DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs paper
  • GramGAN: Deep 3D Texture Synthesis From 2D Exemplars paper
  • Instance Selection for GANs paper
  • COT-GAN: Generating Sequential Data via Causal Optimal Transport paper
  • Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data paper
  • Improving GAN Training with Probability Ratio Clipping and Sample Reweighting paper
  • BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images paper
  • Teaching a GAN What Not to Learn paper
  • GAN Memory with No Forgetting paper code
  • PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals paper
  • Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling paper
  • Towards a Better Global Loss Landscape of GANs paper
  • Differentiable Augmentation for Data-Efficient GAN Training paper code
  • ContraGAN: Contrastive Learning for Conditional Image Generation paper
  • CircleGAN: Generative Adversarial Learning across Spherical Circles paper
  • Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN paper
  • Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples paper
  • Training Generative Adversarial Networks with Limited Data paper
  • Learning Semantic-aware Normalization for Generative Adversarial Networks paper
  • Training Generative Adversarial Networks by Solving Ordinary Differential Equations paper
  • Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation paper
  • A Decentralized Parallel Algorithm for Training Generative Adversarial Nets paper