Assignments and projects from the interpretable artificial intelligence course offered at the University of Tehran.
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Updated
Jul 26, 2023 - Jupyter Notebook
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"
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
Tensorflow Implementation of various post hoc OOD detectors
Leveraging latent representations for efficient textual OOD detection
Source code for the project OOD Detection of COVID-19 From Chest X-Ray Images, written as part of the KTH course DD2424, Deep Learning in Data Science:
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP (Findings of EMNLP 2023)
my MA thesis (code, paper & presentation) about adversarial out-of-distribution detection
Online tools for automated model evaluation
Python code to implement an efficient approach to unsupervised OOD detection with VAE
An end-to-end multimodal framework incorporating explicit knowledge graphs and OOD-detection. (NeurIPS23)
The implementation of DS-FL+ (Energy-based Knowledge Distillation for Communication-Efficient Federated Learning, IEICE 2024 student poster session).
[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.
Student project regarding out-of-domain text classification methods comparison on CLINC150 dataset.
Enhancing Sleep Stage Classification Performance Using Transformer-Based Approach with OOD Method Integration
Post-hoc Out-of-Distribution Detection
Official PyTorch implementation for "SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection"
Baseline for out-of-distribution detection
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