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Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
Notably, for U-ViT -H/2 on ImageNet, approximately 93.68% of layers are cacheable in the cache step,
f04351c9fa1e22797c7d32c1f6d23948-Paper-Datasets_and_Benchmarks_Track.pdf
Generative AI has revolutionised visual content editing, empowering users to effortlessly modify images and videos. However, not all edits are equal. To perform realistic edits in domains such as natural image or medical imaging, modifications must respect causal relationships inherent to the data generation process.
Entropy testing and its application to testing Bayesian networks
This paper studies the problem of entropy identity testing: given sample access to a distribution p and a fully described distribution q (both discrete distributions over a domain of size k), and the promise that either p = q or |H (p) H (q)| ε, where H () denotes the Shannon entropy, a tester needs to distinguish between the two cases with high probability.
Right this way: Can VLMs Guide Us to See More to Answer Questions?
In question-answering scenarios, humans can assess whether the available information is sufficient and seek additional information if necessary, rather than providing a forced answer.
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection Xinting Liao
FL further makes efforts to adapt real-world scenarios, i.e., adapting
