20 hours ago · Liu et al., 2021) devises an MSE loss to alleviate redundancy at the feature and sample levels. In contrast, we introduce a novel neighbor-oriented contrastive ...
20 hours ago · The refined output ps(xt) is expected to work better than the original output p for several reasons: 1) it reduces redundant and noisy information by focusing.
21 hours ago · A non-linear dimensionality reduction method called t-Distributed Stochastic Neighbour Embedding (t-SNE) is frequently used to visualize high-dimensional data ...
23 hours ago · (3) The CSPDarkNet of YOLOX is replaced by FasterNet to reduce redundant computation and memory access, increasing detection speed from 62.2 FPS to 78.9 FPS.
9 hours ago · A comprehensive framework for understanding exact quantum many-body scars—states that fail to thermalize—paves the way for a formal theory ...
19 hours ago · We show how to construct multitype branching processes to approximate complex contagion adoption dynamics on networks with clique-based clustering. This ...
19 hours ago · Automatic Data Curation for Self-Supervised Learning: A Clustering ... Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token ...
20 hours ago · We prove that there are three types of irreducible symmetric real-closed subsets for reduced real affine root systems, one of which did not appear in Roy– ...
15 hours ago · RAGは、画像内のオブジェクト認識、関係識別、空間的理解を強化するために構造化されたシーングラフを導入している。 論文 参考訳（メタデータ） (Mon, 30 Dec 2024 13:16:08 ...
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