Companion code for the research paper "CoAug: Combining Augmentation of Labels and Labeling Rules"
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Updated
Jun 21, 2024 - Python
Companion code for the research paper "CoAug: Combining Augmentation of Labels and Labeling Rules"
Resources related to EMNLP 2021 paper "To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning"
Official Implementation of the paper "Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation" (ICCV 2021).
Reference implementation for "Scalable Meta-Learning with Gaussian Processes" by Tighineanu et al. 2024
Analysis & Modeling of Coordinate Constructions in English Enhanced Universal Dependencies
Companion code for the paper "Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks" by Yatsura et al.
Define parameter spaces of mixed types like continuous, integers and categoricals along with conditionalities and priors.
Source code for Bechtold et al., "Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors", CVPR 2021.
ClusterDataSplit: Exploring Challenging Clustering-Based Data Splits for Model Performance Evaluation
Code for toy dataset generation of "Grid Saliency for Context Explanations of Semantic Segmentation" (https://arxiv.org/abs/1907.13054)
Explanations for Inconsistency in Large-Scale Knowledge Graphs
Code for "Progressive Augmentation of GANs" (https://arxiv.org/abs/1901.10422)
Blackbox optimization algorithms with a common interface, along with useful helpers like parallel optimization loops, analysis and visualization scripts.
Dataset of a collection of commonsense knowledge assertions relevant for the autonomous driving (AD) domain.
A toolbox to explore synchronous layerwise-parallel deep neural networks.
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