2 papers
cs.CV2025
Task-oriented Learnable Diffusion Timesteps for Universal Few-shot Learning of Dense Tasks
Changgyoon Oh, Jongoh Jeong, Jegyeong Cho +1
Denoising diffusion probabilistic models have brought tremendous advances in generative tasks, achieving state-of-the-art performance thus far. Current diffusion model-based applic…
cs.LG2025
Synchronizing Task Behavior: Aligning Multiple Tasks during Test-Time Training
Wooseong Jeong, Jegyeong Cho, Youngho Yoon +1
Generalizing neural networks to unseen target domains is a significant challenge in real-world deployments. Test-time training (TTT) addresses this by using an auxiliary self-super…