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Masked prediction tasks: a parameter identifiability view

Masked prediction tasks: a parameter identifiability view

18 February 2022
Bingbin Liu
Daniel J. Hsu
Pradeep Ravikumar
Andrej Risteski
    SSLOOD
ArXiv (abs)PDFHTML

Papers citing "Masked prediction tasks: a parameter identifiability view"

4 / 4 papers shown
Title
Masked Modeling for Self-supervised Representation Learning on Vision
  and Beyond
Masked Modeling for Self-supervised Representation Learning on Vision and Beyond
Siyuan Li
Luyuan Zhang
Zedong Wang
Di Wu
Lirong Wu
...
Jun Xia
Cheng Tan
Yang Liu
Baigui Sun
Stan Z. Li
SSL
219
26
0
31 Dec 2023
Understanding Augmentation-based Self-Supervised Representation Learning
  via RKHS Approximation and Regression
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and RegressionInternational Conference on Learning Representations (ICLR), 2023
Runtian Zhai
Bing Liu
Andrej Risteski
Zico Kolter
Pradeep Ravikumar
SSL
287
17
0
01 Jun 2023
Computationally Efficient PAC RL in POMDPs with Latent Determinism and
  Conditional Embeddings
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional EmbeddingsInternational Conference on Machine Learning (ICML), 2022
Masatoshi Uehara
Ayush Sekhari
Jason D. Lee
Nathan Kallus
Wen Sun
168
8
0
24 Jun 2022
The Mechanism of Prediction Head in Non-contrastive Self-supervised
  Learning
The Mechanism of Prediction Head in Non-contrastive Self-supervised LearningNeural Information Processing Systems (NeurIPS), 2022
Zixin Wen
Yuanzhi Li
SSL
331
40
0
12 May 2022
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