“‘Discrete Diffusion Model’ Tag”,2021-02-10 (Decision Transformer; backlinks)⁠:

Bibliography for tag ai/nn/diffusion/discrete, most recent first: 1 related tag, 25 annotations, & 2 links (parent).

• See Also
• Links
  • “Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning”, Ye et al 2024
  • “Σ-GPTs: A New Approach to Autoregressive Models”, Pannatier et al 2024
  • “CLLMs: Consistency Large Language Models”, Kou et al 2024
  • “Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion”, Zhang et al 2023
  • “CodeFusion: A Pre-Trained Diffusion Model for Code Generation”, Singh et al 2023
  • “SEDD: Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution”, Lou et al 2023
  • “Bayesian Flow Networks”, Graves et al 2023
  • “Likelihood-Based Diffusion Language Models”, Gulrajani & Hashimoto2023
  • “Accelerating Transformer Inference for Translation via Parallel Decoding”, Santilli et al 2023
  • “Difformer: Empowering Diffusion Model on Embedding Space for Text Generation”, Gao et al 2022
  • “Score-Based Continuous-Time Discrete Diffusion Models”, Sun et al 2022
  • “CDCD: Continuous Diffusion for Categorical Data”, Dieleman et al 2022
  • “Self-Conditioned Embedding Diffusion for Text Generation”, Strudel et al 2022
  • “DiffusER: Discrete Diffusion via Edit-Based Reconstruction”, Reid et al 2022
  • “DiffuSeq: Sequence to Sequence Text Generation With Diffusion Models”, Gong et al 2022
  • “Analog Bits: Generating Discrete Data Using Diffusion Models With Self-Conditioning”, Chen et al 2022
  • “Diffusion-LM Improves Controllable Text Generation”, Li et al 2022
  • “Time Control: Language Modeling via Stochastic Processes”, Wang et al 2022
  • “Step-Unrolled Denoising Autoencoders for Text Generation”, Savinov et al 2021
  • “Zero-Shot Translation Using Diffusion Models”, Nachmani & Dovrat2021
  • “Autoregressive Diffusion Models”, Hoogeboom et al 2021
  • “Beyond In-Place Corruption: Insertion and Deletion In Denoising Probabilistic Models”, Johnson et al 2021
  • “Structured Denoising Diffusion Models in Discrete State-Spaces”, Austin et al 2021
  • “Symbolic Music Generation With Diffusion Models”, Mittal et al 2021
  • “Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions”, Hoogeboom et al 2021
  • Sort By Magic
    • text-generation diffusion models autonomous-reasoning symbolic-music code-translation discrete-learning
    • discrete-text
    • continuous-diffusion
• Miscellaneous
• Bibliography

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