Measuring CLEVRness: Blackbox testing of Visual Reasoning Models

Measuring CLEVRness: Blackbox testing of Visual Reasoning Models

24 February 2022

Spyridon Mouselinos

Henryk Michalewski

Mateusz Malinowski

Papers citing "Measuring CLEVRness: Blackbox testing of Visual Reasoning Models"

5 / 5 papers shown

Title
Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason? Monika Wysoczañska Tom Monnier Tomasz Trzciñski David Picard ReLM OCL 20 1 0 20 Dec 2022
A Simple, Yet Effective Approach to Finding Biases in Code Generation Spyridon Mouselinos Mateusz Malinowski Henryk Michalewski 10 7 0 31 Oct 2022
CARETS: A Consistency And Robustness Evaluative Test Suite for VQA Carlos E. Jimenez Olga Russakovsky Karthik Narasimhan CoGe 13 14 0 15 Mar 2022
Word Translation Without Parallel Data Alexis Conneau Guillaume Lample MarcÁurelio Ranzato Ludovic Denoyer Hervé Jégou 158 1,630 0 11 Oct 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,102 0 04 Nov 2016