Few-shot-NLEs
These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations".
You can find the small-e-WinoGrande dataset in the folder with that name.
These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations".
You can find the small-e-WinoGrande dataset in the folder with that name.
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The source code is temporariy removed, as we are solving potential copyright and license issues with GRANSO (http://www.timmitchell.com/software/GRANS
[ICCV 2021] A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation
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Welcome to Barlow Barlow is a tool for identifying the failure modes for a given neural network. To achieve this, Barlow first creates a group of imag
Picasso Code to generate Picasso embeddings of any input matrix. Picasso maps the points of an input matrix to user-defined, n-dimensional shape coord
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ETMO: Evolutionary Transfer Multiobjective Optimization To promote the research on ETMO, benchmark problems are of great importance to ETMO algorithm