Official code of "Discover the Unknown Biased Attribute of an Image Classifier" (ICCV 2021)
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Updated
Oct 11, 2021 - Python
Official code of "Discover the Unknown Biased Attribute of an Image Classifier" (ICCV 2021)
Rule Extraction from Bayesian Networks
Codes and Datasets for our WSDM 2022 Paper: "MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs"
[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory
a tool for comparing the predictions of any text classifiers
Official code of "StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis" (CVPR 2022)
A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.
A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.
A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.
Code from PLDI '21 paper "Provable Repair of Deep Neural Networks."
Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation Framework
[AAAI'23 Paper] A machine learning defense for auditors of black box automated decision-making systems.
Code for Highly Trustworthy Multimodal Learning (HTML) Method on Omics
Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)
Neural Additive Models - Visualization Tool in PyTorch/Plotly-Dash
SyReNN: Symbolic Representations for Neural Networks
Code for "Towards Explainable Multi-modal Motion Prediction using Graph Representations"
[ACM MM22] Towards Robust Video Object Segmentation with Adaptive Object Calibration, ACM Multimedia 2022
FairBatch: Batch Selection for Model Fairness (ICLR 2021)
[AAAI 2023] An official PyTorch implementation of paper 'READ: Aggregating Reconstruction Error into Out-of-distribution Detection'
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