Pinned Repositories
acm-bib-word2latex
arjunsubramonian.github.io
augmentation_strategies
Awesome-Fair-Graph-Learning
Paper List for Fair Graph Learning (FairGL).
CrazyEights
degree-bias-exploration
Official implementation of "Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks"
link_bias_amplification
Official implementation of "Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction"
positional-encodings
PyMash
Creates mashups of songs and evaluates which two songs make the best mashup.
pytorch-mitigating-unwanted-biases-with-adversarial-learning
PyTorch implementation of "Mitigating Unwanted Biases in Word Embeddings with Adversarial Learning". Adapted from https://colab.research.google.com/notebooks/ml_fairness/adversarial_debiasing.ipynb.
ArjunSubramonian's Repositories
ArjunSubramonian/link_bias_amplification
Official implementation of "Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction"
ArjunSubramonian/positional-encodings
ArjunSubramonian/degree-bias-exploration
Official implementation of "Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks"
ArjunSubramonian/PyMash
Creates mashups of songs and evaluates which two songs make the best mashup.
ArjunSubramonian/pytorch-mitigating-unwanted-biases-with-adversarial-learning
PyTorch implementation of "Mitigating Unwanted Biases in Word Embeddings with Adversarial Learning". Adapted from https://colab.research.google.com/notebooks/ml_fairness/adversarial_debiasing.ipynb.
ArjunSubramonian/acm-bib-word2latex
ArjunSubramonian/Quantum-Algorithms
Implementations of Deutsch-Jozsa, Bernstein-Vazirani, Simon's algorithm, and Grover's algorithm in PyQuil and Qiskit.
ArjunSubramonian/arjunsubramonian.github.io
ArjunSubramonian/augmentation_strategies
ArjunSubramonian/Awesome-Fair-Graph-Learning
Paper List for Fair Graph Learning (FairGL).
ArjunSubramonian/CrazyEights
ArjunSubramonian/Dog-Breed-Classifier
Python and Keras implementations of different deep learning classifiers (simple logistic regression unit, multi-layer fully-connected neural network, and 50-layer residual convolutional neural network) that, given an image of a dog, can determine the dog’s breed. The ResNet50 was initialized during training with pre-trained ImageNet weights and only trained partially due to a lack of computational power.
ArjunSubramonian/fantasy
ArjunSubramonian/feature-propagation
ArjunSubramonian/group-excess-risk-bound-sgd
ArjunSubramonian/random-graphs-PL
ArjunSubramonian/twitter-algorithmic-bias-gnc
ArjunSubramonian/HELLA-LIT
Uses AI to apply neural style transfer filters and caption your images for social media.
ArjunSubramonian/hugo-academic
📝 The website builder for Hugo. Build and deploy a beautiful website in minutes!
ArjunSubramonian/IaNaturalist
Analysis of images of plants and animals using Python Azure SDK for CV.
ArjunSubramonian/iclr-blog-track.github.io
ArjunSubramonian/naacl-2022-website
naacl 2022 website
ArjunSubramonian/one-year
ArjunSubramonian/personal-website
ArjunSubramonian/promptsource
Toolkit for creating, sharing and using natural language prompts.
ArjunSubramonian/releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
ArjunSubramonian/scholar.hasfailed.us
Google Scholar is a trans-exclusionary site. Don't use it. Help us demand change.
ArjunSubramonian/UPE-Spring-2019-Coding-Challenge
ArjunSubramonian/wl-test-exploration
This repository is the official implementation of "Weisfeiler and Lehman Go Measurement Modeling: Probing the Validity of the WL Test."
ArjunSubramonian/wordle-expectation