Showing 1–20 of 55 results
/ Date/ Name
May 17, 2021Uncertainty Weighted Actor-Critic for Offline Reinforcement LearningMar 11, 2023Stabilizing Transformer Training by Preventing Attention Entropy CollapseMar 7, 2023TRACT: Denoising Diffusion Models with Transitive Closure Time-DistillationMar 9, 2026The Coupling Within: Flow Matching via Distilled Normalizing FlowsJun 18, 2020Set Distribution Networks: a Generative Model for Sets of ImagesOct 29, 2019Adversarial Fisher Vectors for Unsupervised Representation LearningDec 14, 2015Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse GraphsOct 30, 2016Doubly Convolutional Neural NetworksNov 6, 2016Generative Adversarial Networks as Variational Training of Energy Based ModelsMay 28, 2021An Attention Free TransformerDec 9, 2024Normalizing Flows are Capable Generative ModelsMar 10, 2026Exclusive Self AttentionMay 25, 2016Deep Structured Energy Based Models for Anomaly DetectionNov 16, 2016S3Pool: Pooling with Stochastic Spatial SamplingNov 19, 2015Manifold Regularized Discriminative Neural NetworksJun 6, 2025STARFlow: Scaling Latent Normalizing Flows for High-resolution Image SynthesisJul 15, 2022Position Prediction as an Effective Pretraining StrategyNov 26, 2016Structural Correspondence Learning for Cross-lingual Sentiment Classification with One-to-many MappingsDec 14, 2015Semisupervised Autoencoder for Sentiment AnalysisJun 26, 2025TADA: Improved Diffusion Sampling with Training-free Augmented Dynamics