ML Reproducibility Challenge 2022 Submissions

[Re] Pure Noise to the Rescue of Insufficient Data
Seungjae Ryan Lee, Seungmin Lee
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022 OutstandingPaper
- Readers: Everyone
[Re] Masked Autoencoders Are Small Scale Vision Learners: A Reproduction Under Resource Constraints
Athanasios Charisoudis, Simon Ekman von Huth, Emil Jansson
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022
- Readers: Everyone
[Re] Reproducibility Study of Behavior Transformers
Skander Moalla, Manuel Madeira, Lorenzo Riccio, Joonhyung Lee
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022 OutstandingPaperHonorableMention
- Readers: Everyone
[Re] CrossWalk: Fairness-enhanced Node Representation Learning
Luca Pantea, Andrei Eusebiu Blahovici
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022
- Readers: Everyone
Reproducibility study of the Fairness-enhanced Node Representation Learning
Gijs Joppe Moens, Job de Witte, Tobias Pieter Göbel, Meggie Anna Antwanette van den Oever
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022
- Readers: Everyone
[Re] VAE Approximation Error: ELBO and Exponential Families
Volodymyr Kyrylov, Navdeep Singh Bedi, Qianbo Zang
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022
- Readers: Everyone
RELIC: Reproducibility and Extension on LIC metric in quantifying bias in captioning models
Martijn van Raaphorst, Egoitz Gonzales, Marta Grasa, Paula Antequera
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022
- Readers: Everyone
[Re] Exploring the Role of Grammar and Word Choice in Bias Toward African American English (AAE) in Hate Speech Classification
Priyanka Bose, Chandra Shekhar Pandey, Fraida Fund
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022
- Readers: Everyone
On the Reproducibility of “G-Mixup:Graph Data Augmentation for Graph Classification”
Dylan Cordaro, Shelby Cox, Yiman Ren, Teresa Yu
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022
- Readers: Everyone
A Reproduction of Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification
Victor Livernoche, Vidya Sujaya
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022
- Readers: Everyone
[Re] If You Like Shapley Then You’ll Love the Core
Anes Benmerzoug, Miguel de Benito Delgado
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022
- Readers: Everyone
[Re] Variational Neural Cellular Automata
Albert Sund Aillet, Simon Sondén
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022
- Readers: Everyone
Reproducibility Study of ’Latent Space Smoothing for Individually Fair Representations’
Didier Merk, Tsatsral Mendsuren, Denny Smit, Boaz Beukers
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022
- Readers: Everyone
Reproducibility Study of ”CartoonX: Cartoon Explanations of Image Classifiers”
Aditya Prakash Patra, Sina Taslimi, Luke Chin A Foeng, Pratik Kayal
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022
- Readers: Everyone
[Re] Reproducing FairCal: Fairness Calibration for Face Verification
Jip Greven, Simon Stallinga, Zirk Seljee
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022
- Readers: Everyone
[Re] On the reproducibility of "CrossWalk: Fairness-Enhanced Node Representation Learning"
Eric Zila, Jonathan Gerbscheid, Luc Sträter, Kieron Kretschmar
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022
- Readers: Everyone
Reproducibility Study of “Quantifying Societal Bias Amplification in Image Captioning”
Farrukh Baratov, Göksenin Yüksel, Darie Petcu, Jan Bakker
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022
- Readers: Everyone
[Re] Reproducibility study of “Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention”
Erik Buis, Sebastiaan Dijkstra, Bram Heijermans
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022
- Readers: Everyone
A Replication Study of Compositional Generalization Works on Semantic Parsing
Kaiser Sun, Adina Williams, Dieuwke Hupkes
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022 OutstandingPaper
- Readers: Everyone
Reproducibility Study of ”Label-Free Explainability for Unsupervised Models”
Julius Wagenbach, Gergely Papp, Niklas Mather, Laurens Jan de Vries
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022
- Readers: Everyone
[Re] Reproducibility study of ”Focus On The Common Good: Group Distributional Robustness Follows”
Walter Simoncini, Ioanna Gogou, Marta Freixo Lopes, Ron Kremer
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022
- Readers: Everyone
Reproducibility study of 'Proto2Proto: Can you recognise the car, the way I do?'
Gerson de Kleuver, David Matthias Bikker, Wenhua Hu, Bram Veenman
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022
- Readers: Everyone
Exploring the Explainability of Bias in Image Captioning Models
Daniël Van Dijk, Marten Türk, L Busser, Max Bosch
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022
- Readers: Everyone
Reproducibility study of "Joint Multisided Exposure Fairness for Recommendation"
Alessia Hu, Oline Ranum, Chrysoula Pozrikidou, Miranda Zhou
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022
- Readers: Everyone
[Re] Hierarchical Shrinkage: Improving the Accuracy and Interpretability of Tree-Based Methods
Domen Mohorčič, David Ocepek
- Published: 02 Aug 2023, Last Modified: 02 Aug 2023
- MLRC 2022
- Readers: Everyone