conftrace_

distribution matching

127 papers

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Also known as

DM

Co-occurring keywords

domain adaptation (4595) optimal transport (948) generative adversarial network (1944) transfer learning (5449) maximum mean discrepancy (164) generative model (2892) unsupervised learning (3264) adversarial learning (1595) wasserstein distance (417) diffusion model (3751)

Papers

Enhancing Diffusion Policies with Distribution-Matching Generator in Offline Reinforcement Learning AAAI 2026
PANDA – Patch and Distribution-Aware Augmentation for Long-Tailed Exemplar-Free Continual Learning AAAI 2026
TGDD: Trajectory Guided Dataset Distillation with Balanced Distribution AAAI 2026
Reinforcement Learning for Diffusion LLMs via Energy-Based Gibbs Alignment ACL 2026
SwiftVideo: A Unified Framework for Few-Step Video Generation Through Trajectory-Distribution Alignment AAAI 2026
Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges AAAI 2026
ImageBindDC: Compressing Multi-modal Data with ImageBind-based Condensation AAAI 2026
Channel-masked Asymmetric Distribution Matching for Cross-Domain Generalized Dataset Distillation AAAI 2026
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective CVPR 2025
Dataset Distillation via the Wasserstein Metric ICCV 2025
Progressive Distribution Matching for Federated Semi-Supervised Learning AAAI 2025
Optimal Denoising in Score-Based Generative Models: The Role of Data Regularity JMLR 2025
Implicit Behavioral Alignment of Language Agents in High-Stakes Crowd Simulations EMNLP 2025
Color Matching Using Hypernetwork-Based Kolmogorov-Arnold Networks ICCV 2025
(De)-regularized Maximum Mean Discrepancy Gradient Flow JMLR 2025
Decomposed Distribution Matching in Dataset Condensation WACV 2025
Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection AAAI 2024
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy AAAI 2024
Constrained Diffusion Models via Dual Training NIPS 2024
Improved Distribution Matching Distillation for Fast Image Synthesis NIPS 2024
Generative Adversarial Ranking Nets JMLR 2024
Towards Practical Non-Adversarial Distribution Matching AISTATS 2024
One-step Diffusion with Distribution Matching Distillation CVPR 2024
Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation CVPR 2024
Can Public Large Language Models Help Private Cross-device Federated Learning? NAACL 2024