Co-occurring keywords · papers mentioning both
Papers
Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin
ICCV 2025
Waste Not, Want Not; Recycled Gumbel Noise Improves Consistency in Natural Language Generation
NAACL 2025
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps
ICLR 2024
BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models
NeurIPS 2024
Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling
ICML 2024
Boosting Diffusion Models with an Adaptive Momentum Sampler
IJCAI 2024
Boosting Diffusion Models with Moving Average Sampling in Frequency Domain
CVPR 2024
Characterizing Similarities and Divergences in Conversational Tones in Humans and LLMs by Sampling with People
ACL 2024
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
ICLR 2024
Distribution Aware Metrics for Conditional Natural Language Generation
COLING 2024
Efficient Integrators for Diffusion Generative Models
ICLR 2024
Fair Sampling in Diffusion Models through Switching Mechanism
AAAI 2024
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps
CVPR 2024
Fast samplers for Inverse Problems in Iterative Refinement models
NeurIPS 2024
Improved off-policy training of diffusion samplers
NeurIPS 2024
Improved sampling via learned diffusions
ICLR 2024
Local and Global Decoding in Text Generation
EMNLP 2024
Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization
JMLR 2024
Online Sampling and Decision Making with Low Entropy
IJCAI 2024
Piecewise deterministic generative models
NeurIPS 2024
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
ICLR 2024
StepbaQ: Stepping backward as Correction for Quantized Diffusion Models
NeurIPS 2024
The power of an adversary in Glauber dynamics
COLT 2024
Towards More Accurate Diffusion Model Acceleration with A Timestep Tuner
CVPR 2024
A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing
EACL 2023