Showing 1–17 of 17 results
/ Date/ Name
Apr 15, 2025Autoregressive Distillation of Diffusion TransformersMay 27, 2024Diffusion Bridge AutoEncoders for Unsupervised Representation LearningSep 30, 2025Distillation of Large Language Models via Concrete Score MatchingOct 26, 2022AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly DetectionMar 2, 2024Training Unbiased Diffusion Models From Biased DatasetFeb 3, 2026Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion ModelsMay 26, 2025Preference Optimization by Estimating the Ratio of the Data DistributionMay 28, 2024Diffusion Rejection SamplingFeb 27, 2024Label-Noise Robust Diffusion ModelsFeb 2, 2026Semantic-aware Wasserstein Policy Regularization for Large Language Model AlignmentOct 18, 2025Disentangling Hyperedges through the Lens of Category TheoryMay 28, 2025Global Context-aware Representation Learning for Spatially Resolved TranscriptomicsOct 13, 2025AMiD: Knowledge Distillation for LLMs with $α$-mixture Assistant DistributionNov 28, 2022Refining Generative Process with Discriminator Guidance in Score-based Diffusion ModelsAug 22, 2025A Dataset and Benchmark for Robotic Cloth Unfolding Grasp Selection: The ICRA 2024 Cloth CompetitionMay 31, 2024Reward-based Input Construction for Cross-document Relation ExtractionFeb 27, 2025FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute