Explaining Self-Supervised Image Representations with Visual Probing
Authors: Dominika Basaj, Witold Oleszkiewicz, Igor Sieradzki, Michał Górszczak, Barbara Rychalska, Tomasz Trzcinski, Bartosz Zieliński
IJCAI 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Tab. 1 summarizes the results obtained in our experiments. |
| Researcher Affiliation | Collaboration | Dominika Basaj1,2 , Witold Oleszkiewicz1 , Igor Sieradzki3 , Michał G orszczak3 , Barbara Rychalska1,4 , Tomasz Trzci nski1,2,3 and Bartosz Zieli nski3,5 1Warsaw University of Technology 2Tooploox 3Faculty of Mathematics and Computer Science, Jagiellonian University 4Synerise 5Ardigen |
| Pseudocode | No | The paper does not include any explicitly labeled pseudocode or algorithm blocks. |
| Open Source Code | Yes | The code is at: github.com/Bio NN-Info Tech/visual-probes |
| Open Datasets | Yes | We conduct all of our experiments on the Image Net dataset [Deng et al., 2009] |
| Dataset Splits | Yes | We conduct all of our experiments on the Image Net dataset [Deng et al., 2009], keeping its standard train/validation split. |
| Hardware Specification | No | The paper does not provide specific details about the hardware used for running experiments, such as GPU models, CPU types, or memory. |
| Software Dependencies | No | The paper mentions using a 'logistic regression classifier' and 'LBFGS solver' but does not provide specific version numbers for these or other software dependencies. |
| Experiment Setup | Yes | We use a logistic regression classifier with a maximum of 1000 iterations and the LBFGS solver to train all diagnostic classifiers. ... We train 100 classifiers corresponding to 100 visual words. ... we group the possible output into 5 equally-wide bins... A similar procedure is applied to the character bin probing task, except that we use 6 bins in this case. ...we apply the random over-sampling if needed to deal with the imbalanced classes. |