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"
Leveraging latent representations for efficient textual OOD detection
The implementation of DS-FL+ (Energy-based Knowledge Distillation for Communication-Efficient Federated Learning, IEICE 2024 student poster session).
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
Tensorflow Implementation of various post hoc OOD detectors
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)
[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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