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cs.LG2026
Unifying Distributional Training for One-Step Visual Generation
Chi Zhang, Shi Haoyang, Haoyang Shi +10
Distributional training provides collective supervision for one-step visual generation by matching real and generated features in frozen representation spaces. We introduce a unifi…
cs.LG2024
Can Modifying Data Address Graph Domain Adaptation?
Renhong Huang, Jiarong Xu, Xin Jiang +2
Graph neural networks (GNNs) have demonstrated remarkable success in numerous graph analytical tasks. Yet, their effectiveness is often compromised in real-world scenarios due to d…