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InfoNCE: Identifying the Gap Between Theory and Practice
28 June 2024
E. Rusak
Patrik Reizinger
Attila Juhos
Oliver Bringmann
Roland S. Zimmermann
Wieland Brendel
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Papers citing
"InfoNCE: Identifying the Gap Between Theory and Practice"
15 / 65 papers shown
Title
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23 Apr 2020
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Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks
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Paul Kishan Rubenstein
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Adrian Weller
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The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA
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Paul Kishan Rubenstein
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Bernhard Schölkopf
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A Theoretical Analysis of Contrastive Unsupervised Representation Learning
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H. Khandeparkar
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Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency
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Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA
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Jia Deng
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J. Krause
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Michael S. Bernstein
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Li Fei-Fei
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