Optimizing the Noise in Self-Supervised Learning: from Importance Sampling to Noise-Contrastive Estimation

23 January 2023

Papers citing "Optimizing the Noise in Self-Supervised Learning: from Importance Sampling to Noise-Contrastive Estimation"

3 / 3 papers shown

Title
Density Ratio Estimation with Conditional Probability Paths Hanlin Yu Arto Klami Aapo Hyvarinen Anna Korba Omar Chehab 62 0 0 04 Feb 2025
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds Rob Brekelmans Sicong Huang Marzyeh Ghassemi Greg Ver Steeg Roger C. Grosse Alireza Makhzani 35 15 0 13 Mar 2023
Pitfalls of Gaussians as a noise distribution in NCE Holden Lee Chirag Pabbaraju A. Sevekari Andrej Risteski 13 4 0 01 Oct 2022