conftrace_

distribution matching

151 papers

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DM

Co-occurring keywords · papers mentioning both

domain adaptation (23) optimal transport (22) generative adversarial network (18) transfer learning (13) maximum mean discrepancy (12) generative model (12) diffusion model (10) wasserstein distance (10) unsupervised learning (9) dataset distillation (8)

Papers

Optimal Denoising in Score-Based Generative Models: The Role of Data Regularity JMLR 2025 Progressive Distribution Matching for Federated Semi-Supervised Learning AAAI 2025 Topological Schrödinger Bridge Matching ICLR 2025 Towards Scalable Topological Regularizers ICLR 2025 Can Public Large Language Models Help Private Cross-device Federated Learning? NAACL 2024 Constrained Diffusion Models via Dual Training NeurIPS 2024 DANCE: Dual-View Distribution Alignment for Dataset Condensation IJCAI 2024 Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces & Beyond AAAI 2024 Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation CVPR 2024 Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection AAAI 2024 Generalized Schrödinger Bridge Matching ICLR 2024 Generative Adversarial Ranking Nets JMLR 2024 Improved Distribution Matching Distillation for Fast Image Synthesis NeurIPS 2024 Is artificial intelligence still intelligence? LLMs generalize to novel adjective-noun pairs, but don’t mimic the full human distribution EMNLP 2024 M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy AAAI 2024 Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation ECCV 2024 One-step Diffusion with Distribution Matching Distillation CVPR 2024 Real-Fake: Effective Training Data Synthesis Through Distribution Matching ICLR 2024 Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach ICLR 2024 Towards Practical Non-Adversarial Distribution Matching AISTATS 2024 Training Implicit Generative Models via an Invariant Statistical Loss AISTATS 2024 A Coupled Flow Approach to Imitation Learning ICML 2023 Aligning Language Models with Preferences through f-divergence Minimization ICML 2023 Calibration by Distribution Matching: Trainable Kernel Calibration Metrics NeurIPS 2023 Dataset Condensation With Distribution Matching WACV 2023