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distribution modeling

14 papers

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generative adversarial network (3) diffusion model (2) generative model (2) sliced wasserstein distance (2) attention mechanism (2) prototype learning (2) contrastive learning (2) neural flow (1) forward process (1) generative dynamics (1)

Papers

ConTexT at SemEval-2026 Task 5: Rating Plausibility of Word Senses in Ambiguous Stories through Narrative Understanding SemEval 2026 Deep Extreme Transformer: Tackling Zero-Inflated Time Series for Precipitation Prediction AAAI 2026 DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis IJCAI 2025 DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts AAAI 2025 Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship AAAI 2025 Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identification CVPR 2024 Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling NeurIPS 2024 Foreground-Background Distribution Modeling Transformer for Visual Object Tracking ICCV 2023 Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning CVPR 2020 Neural Generation of Dialogue Response Timings ACL 2020 Max-Sliced Wasserstein Distance and Its Use for GANs CVPR 2019 SCNN: A General Distribution Based Statistical Convolutional Neural Network with Application to Video Object Detection AAAI 2019 Generative Modeling Using the Sliced Wasserstein Distance CVPR 2018 Image Denoising via Adaptive Soft-Thresholding Based on Non-Local Samples CVPR 2015