Co-occurring keywords · papers mentioning both
Papers
Progressive Few-Shot Adaptation of Generative Model with Align-Free Spatial Correlation
AAAI 2023
Progressive Open Space Expansion for Open-Set Model Attribution
CVPR 2023
Proper Losses for Discrete Generative Models
ICML 2023
Protein Sequence and Structure Co-Design with Equivariant Translation
ICLR 2023
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
NeurIPS 2023
ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype Learning
ACML 2023
Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior
NeurIPS 2023
Provably Learning Object-Centric Representations
ICML 2023
PV3D: A 3D Generative Model for Portrait Video Generation
ICLR 2023
Quick Back-Translation for Unsupervised Machine Translation
EMNLP 2023
Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images
ICLR 2023
Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path
ALT 2023
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors
NeurIPS 2023
ReEnFP: Detail-Preserving Face Reconstruction by Encoding Facial Priors
WACV 2023
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
ICML 2023
ReGen: A good Generative Zero-Shot Video Classifier Should be Rewarded
ICCV 2023
Regularized Vector Quantization for Tokenized Image Synthesis
CVPR 2023
Regularizing Neural Networks with Meta-Learning Generative Models
NeurIPS 2023
Removing Anomalies as Noises for Industrial Defect Localization
ICCV 2023
Resolving Ambiguities in Text-to-Image Generative Models
ACL 2023
Restoration based Generative Models
ICML 2023
Rethinking Conditional Diffusion Sampling with Progressive Guidance
NeurIPS 2023
Retrieving Multimodal Information for Augmented Generation: A Survey
EMNLP 2023
Retrieving Multimodal Prompts for Generative Visual Question Answering
ACL 2023
Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement
AAAI 2023