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Found 5 papers, 1 papers with code
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
Surprisingly, the improvement persists when we increase the number of sampling steps and can even surpass the best result from EDM-2 (1. 58) with only 39 NFEs (1. 57).
Elucidating The Design Space of Classifier-Guided Diffusion Generation
Guidance in conditional diffusion generation is of great importance for sample quality and controllability.
Ranked #1 on
Conditional Image Generation
on ImageNet 128x128
Deciphering the Projection Head: Representation Evaluation Self-supervised Learning
In this work, we systematically investigate the role of the projection head in SSL.
Fast Kernel k-means Clustering Using Incomplete Cholesky Factorization
The key idea of the proposed kernel $k$-means clustering using incomplete Cholesky factorization is that we approximate the entire kernel matrix by the product of a low-rank matrix and its transposition.
Stable Sparse Subspace Embedding for Dimensionality Reduction
Although they adopt uniform sampling with replacement, due to large sampling variance, the number of non-zeros is uneven among rows of the projection matrix which is generated in one trial, and more data information may be lost after dimension reduction.
