Embedding Quantization, Dimensionality Reduction, HNSW Indexing, Latent Space Transformations, Embedding Distillation
Zoom Out: Distributions in Semantic Spaces
lesswrong.comยท3h
Graph Neural Networks for Knowledge Graphs
pub.towardsai.netยท16h
Principal Component Analysis (PCA) is the gold standard in dimensionality reduction.
threadreaderapp.comยท11h
Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs
arxiv.orgยท23h
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics
arxiv.orgยท23h
Topolow: Force-Directed Euclidean Embedding of Dissimilarity Data with Robustness Against Non-Metricity and Sparsity
arxiv.orgยท23h
Trainable Dynamic Mask Sparse Attention
arxiv.orgยท23h
Harnessing Textual Semantic Priors for Knowledge Transfer and Refinement in CLIP-Driven Continual Learning
arxiv.orgยท23h
SAMPO: Visual Preference Optimization for Intent-Aware Segmentation with Vision Foundation Models
arxiv.orgยท23h
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