Measuring What Matters: Intrinsic Distance Preservation as a Robust Metric for Embedding Qualityby Steven N.…
GNUMAP: A Parameter-Free Approach to Unsupervised Dimensionality Reduction via Graph Neural Networksby Jihee You, So…
Assessing Graphical Perception of Image Embedding Models using Channel Effectivenessby Soohyun Lee, Minsuk Chang, Seokhyeon…
Investigating Sparsity in Recurrent Neural Networksby Harshil DarjiFirst submitted to arxiv on: 30 Jul 2024CategoriesMain:…
Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensionsby Jinsung Yoon, Raj Sinha, Sercan O…
On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglementby Ahmad Saeed…
OpenUAS: Embeddings of Cities in Japan with Anchor Data for Cross-city Analysis of Area Usage…
Embedding And Clustering Your Data Can Improve Contrastive Pretrainingby Luke MerrickFirst submitted to arxiv on:…
LEMoN: Label Error Detection using Multimodal Neighborsby Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong,…
Contrastive Learning of Asset Embeddings from Financial Time Seriesby Rian Dolphin, Barry Smyth, Ruihai DongFirst…