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
[EMNLP 2023] FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score
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
LINe: Out-of-Distribution Detection by Leveraging Important Neurons (CVPR 2023)
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.
An end-to-end multimodal framework incorporating explicit knowledge graphs and OOD-detection. (NeurIPS23)
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.
Package to accelerate research on generalized out-of-distribution (OOD) detection.
Leveraging latent representations for efficient textual OOD detection
✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction
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