my MA thesis (code, paper & presentation) about adversarial out-of-distribution detection
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Updated
Feb 2, 2023 - Jupyter Notebook
my MA thesis (code, paper & presentation) about adversarial out-of-distribution detection
Assignments and projects from the interpretable artificial intelligence course offered at the University of Tehran.
Code for the Paper "A Functional Data Perspective and Baseline on Multi-Layer Out-of-Distribution Detection"
Online tools for automated model evaluation
[EMNLP 2023] FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score
Source code for 《Towards Multi-label Unknown Intent Detection》, which is accepted by COLING 2022.
Python code to implement an efficient approach to unsupervised OOD detection with VAE
Code for the paper "Addressing caveats of neural persistence with deep graph persistence".
An end-to-end vision and language model incorporating explicit knowledge graphs and OOD-detection.
LINe: Out-of-Distribution Detection by Leveraging Important Neurons (CVPR 2023)
"A noisy elephant in the room: Is your out-of-distribution detector robust to label noise?" (CVPR 2024)
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
Tensorflow Implementation of various post hoc OOD detectors
A re-implementation project of Serra et al.: “Input complexity and out-of-distribution detection with likelihood-based generative models"
[ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"
Student project regarding out-of-domain text classification methods comparison on CLINC150 dataset.
A curated list of Distribution Shift papers/articles and recent advancements.
Python package to accelerate research on generalized out-of-distribution (OOD) detection.
An end-to-end multimodal framework incorporating explicit knowledge graphs and OOD-detection. (NeurIPS23)
Project Code for ICML UDL Workshop 2021 Submission
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