power-law distribution

An Empirical Study of Language Syllabification using Syllabary and Lexical Networks NAACL 2025 Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective AAAI 2025 An Entropy-Based Model for Hierarchical Learning JMLR 2024 Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning ICLR 2024 The hidden uniform cluster prior in self-supervised learning ICLR 2023 α-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay NeurIPS 2022 A Bayesian nonparametric approach to count-min sketch under power-law data streams AISTATS 2021 Power-law Distribution Aware Trust Prediction IJCAI 2018 Bayesian inference on random simple graphs with power law degree distributions ICML 2017 Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge EACL 2017 The power of absolute discounting: all-dimensional distribution estimation NeurIPS 2017 Power-Law Graph Cuts AISTATS 2015 Producing Power-Law Distributions and Damping Word Frequencies with Two-Stage Language Models JMLR 2011 Multiclass-Multilabel Classification with More Classes than Examples AISTATS 2010 Matrix Completion from Power-Law Distributed Samples NeurIPS 2009 Cell Assemblies in Large Sparse Inhibitory Networks of Biologically Realistic Spiking Neurons NeurIPS 2008 Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes NeurIPS 2008