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This paper concerns the structure of learned representations in text-guided generative models, focusing on score-based models.
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“Estimation of non-normalized statistical models by score matching.”
Aapo Hyv\"arinen and Peter Dayan · 2005
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“Distributed representations of words and phrases and their compositionality”
Tomas Mikolov et al · 2013
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“Linguistic regularities in continuous space word representations”
Tom\’as Mikolov, Wen-tau Yih and Geoffrey Zweig · 2013
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“word2vec Explained: deriving Mikolov et al.’s negative-sampling word-embedding method”, 2014
Yoav Goldberg and Omer Levy · 2014
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“Glove: Global vectors for word representation”
Jeffrey Pennington, Richard Socher and Christopher Manning · 2014
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“A latent variable model approach to PMI-based word embeddings”, 2015
Sanjeev Arora et al · 2015
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“Man is to computer programmer as woman is to homemaker? debiasing word embeddings”
Tolga Bolukbasi et al · 2016
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“Unsupervised feature extraction by time-contrastive learning and nonlinear ica”
Aapo Hyvarinen and Hiroshi Morioka · 2016
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“Skip-gram- zipf+ uniform= vector additivity”
Alex Gittens, Dimitris Achlioptas and Michael Mahoney · 2017
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“Nonlinear ICA of temporally dependent stationary sources”
Aapo Hyvarinen and Hiroshi Morioka · 2017
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“Towards a definition of disentangled representations”
Irina Higgins et al · 2018
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“Analogies explained: Towards understanding word embeddings”
Carl Allen and Timothy Hospedales · 2019
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“Nonlinear ICA using auxiliary variables and generalized contrastive learning”
Aapo Hyvarinen, Hiroaki Sasaki and Richard Turner · 2019
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Yang Song and Stefano Ermon · 2019
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Jonathan Ho, Ajay Jain and Pieter Abbeel · 2020
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Ilyes Khemakhem, Diederik Kingma, Ricardo Monti and Aapo Hyvarinen · 2020
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“Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE”
Ding Zhou and Xue-Xin Wei · 2020
“Diffedit: Diffusion-based semantic image editing with mask guidance”
Guillaume Couairon, Jakob Verbeek, Holger Schwenk and Matthieu Cord · 2022
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“DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability”
Cian Eastwood et al · 2022
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Nelson Elhage et al · 2022
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“Large Language Models are Zero-Shot Reasoners”, 2022
Takeshi Kojima et al · 2022
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“Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC” under review
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